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Cited by in CrossRef
For: Ko J, Skudder-Hill L, Cho J, Bharmal SH, Petrov MS. Pancreatic enzymes and abdominal adipose tissue distribution in new-onset prediabetes/diabetes after acute pancreatitis. World J Gastroenterol 2021; 27(23): 3357-3371 [PMID: 34163117 DOI: 10.3748/wjg.v27.i23.3357]
URL: https://www.wjgnet.com/1007-9327/full/v27/i23/3357.htm
Number Citing Articles
1
Ling Ling Tang, Qi Zhang, Shuang Yi Song, Nian Liu, Qing Lin Du, Shu Ting Zhong, Xiao Hua Huang. Individualized prediction of post-acute pancreatitis diabetes mellitus by combining lipid metabolism and anatomical featuresInsights into Imaging 2025; 16(1) doi: 10.1186/s13244-025-02039-w
2
Guru Trikudanathan, Mohamed Abdallah, Satish Munigala, Kornpong Vantanasiri, David Jonason, Nauroze Faizi, Robben Schat, Anil Chauhan, Martin L. Freeman, Melena D. Bellin. Visceral Fat Predicts New-Onset Diabetes After Necrotizing PancreatitisPancreas 2024; 53(3) doi: 10.1097/MPA.0000000000002292
3
Chuanfeng Fan, Jian Gao, Yingkai Gao, Xintong Yang, Gaoning Li, Xiaochun Wang, Fei Li, Jin Zhou, Haifeng Yu, Yi Huang, Jin Chen, Yingying Shan, Li Chen. A non-peptide-based chymotrypsin-targeted long-wavelength emission fluorescent probe with large Stokes shift and its application in bioimagingChinese Chemical Letters 2024; 35(10) doi: 10.1016/j.cclet.2024.109838
4
Juyeon Ko, Loren Skudder-Hill, Sunitha Priya, Wandia Kimita, Sakina H. Bharmal, Maxim S. Petrov. Associations between Intra-Pancreatic Fat Deposition, Pancreas Size, and Pancreatic Enzymes in Health and after an Attack of Acute PancreatitisObesity Facts 2022; 15(1) doi: 10.1159/000519621
5
Claire F. Norbitt, Wandia Kimita, Sakina H. Bharmal, Juyeon Ko, Maxim S. Petrov. Relationship between Habitual Intake of Vitamins and New-Onset Prediabetes/Diabetes after Acute PancreatitisNutrients 2022; 14(7) doi: 10.3390/nu14071480
6
Yingbao Huang, Yi Zhu, Weizhi Xia, Huanhuan Xie, Huajun Yu, Lifang Chen, Liuzhi Shi, Risheng Yu. Computed tomography-based body composition indicative of diabetes after hypertriglyceridemic acute pancreatitisDiabetes Research and Clinical Practice 2024; 217 doi: 10.1016/j.diabres.2024.111862
7
Zhongxian Pan, Qiuyi Chen, Haiwei Lin, Wensheng Huang, Junfeng Li, Fanqi Meng, Zhangnan Zhong, Wenxi Liu, Zhujing Li, Haodong Qin, Bingsheng Huang, Yueyao Chen. Enhanced accuracy and stability in automated intra-pancreatic fat deposition monitoring of type 2 diabetes mellitus using Dixon MRI and deep learningAbdominal Radiology 2025; 50(8) doi: 10.1007/s00261-025-04804-3
8
Shuting Zhong, Qinglin Du, Nian Liu, Yuwei Chen, Tianyue Yang, Shize Qin, Yu Jiang, Xiaohua Huang. Developing a CT-based radiomics nomogram for predicting post-acute pancreatitis diabetes mellitus incidenceThe British Journal of Radiology 2023; 96(1152) doi: 10.1259/bjr.20230382
9
Maxim S Petrov. Fatty change of the pancreas: the Pandora's box of pancreatologyThe Lancet Gastroenterology & Hepatology 2023; 8(7) doi: 10.1016/S2468-1253(23)00064-X
10
Juyeon Ko, Maxim Petrov. Intra-Pancreatic Fat Deposition and Pancreatitis: Insights from the COSMOS ProgramDiabetes, Metabolic Syndrome and Obesity 2025;  doi: 10.2147/DMSO.S400276
11
Ahmed Ali Saleh, Rashed A. Alhotan, Mohammed A.A. Al-Badwi, Elsayed Osman Hussein, Livio Galosi, Giuseppe Crescenzo, Mahmoud Alagawany, Walied Abdo, Sara Mahmoud Omar, Claudia Zizzadoro. Evaluation of the efficacy of hydrated sodium calcium aluminosilicate at mitigating the negative impact of aflatoxicosis on nutrient digestibility and other production- and health-related indices in broiler chickensJournal of Applied Poultry Research 2024; 33(4) doi: 10.1016/j.japr.2024.100483
12
Ran Hu, Yan-Li Chen, Gang-Jing Li, Yin-Deng Luo, Di Zhou, Zhi-Gang Wang, Xiao-Di Zhang, Zhixuan Song, Wei Chen, Hua Yang. An interpretable radiomics model based on contrast‑enhanced pancreatic computed tomography for predicting the prognosis of post-acute pancreatitis diabetes mellitusBMC Medical Imaging 2026; 26(1) doi: 10.1186/s12880-026-02258-7
13
Wandia Kimita, Sakina H. Bharmal, Juyeon Ko, Maxim S. Petrov. Identifying endotypes of individuals after an attack of pancreatitis based on unsupervised machine learning of multiplex cytokine profilesTranslational Research 2023; 251 doi: 10.1016/j.trsl.2022.07.001
14
Maxim S. Petrov, Hajime Yamazaki, Guotao Lu, Ahmad H. Al-Mrabeh, Claudio Luchini, Xiaowu Dong, Tsuyoshi Hamada, Yutong Liu, Hiroki Oyama, Susanne Rospleszcz, Saurabh Chawla, Yan Shen, Ethem Turgay Cerit, Idoia Labayen, John Virostko, Tuo Li, Cristina Cadenas-Sanchez, Laure Alexandre-Heymann, Reda Albadawy, Danijela Budimir Mršić, Giuseppe Della Pepa, Zhiyin Huang, Juyeon Ko, Xiaoyu Li, Sunitha Priya, Matheus Souza, José Celso Ardengh, Mohamed Bilal Azam, Akif Bayyigit, Michele Bevere, Sakina H. Bharmal, Faraz Bishehsari, Roberto Bizzotto, Federico Caldart, James Cantley, Feng Cao, Udit Chauhan, Guozhong Chen, Ning Chen, Song Chen, Weigang Chen, Weiwei Chen, Sudipta Dhar Chowdhury, Nicolò De Pretis, Viviane Delghingaro-Augusto, Lihui Deng, Marcio Garrison Dytz, Bara El Kurdi, Amany A. Elbanna, Spiros Fourlanos, Gema Frühbeck, Louise M. Goff, Jorge Carvalho Guedes, Vishal Gupta, Nadia M. Hamdy, Chaoqun Han, Jianyu Hao, Ahmed Morad Hashim, Wenhua He, Guoyong Hu, Lianghao Hu, Brian Z. Huang, Haojie Huang, Heguang Huang, Wei Huang, Bei Ji, Meng Jin, Tej Joshi, Mehmet Kanbay, Ryul Kang, Shanlin Ke, Julia S. Kenkre, Lauren Khanna, Tawfik Khoury, Sarah Kilian, Niwen Kong, Xiangyu Kong, Bedriye Koyuncu Sokmen, Junji Kozawa, Mohammad Shafi Kuchay, Naotaka Kugiyama, Chani-Brynn Leybourne, Chengpeng Li, Guichen Li, Jing Li, Xinye Li, Weiqin Li, Hai Lin, Xinjuan Liu, Zhilan Liu, Jiajie Lu, Zipeng Lu, Chao Luo, Ke Lv, Ying Lv, Eva Marín-Serrano, David Marti-Aguado, Teresa L. Mastracci, Marwa Matboli, Paola Mattiolo, Bruno Pereira Melo, Jiarong Miao, Anoop Misra, Yousuke Nakai, Hussein Hassan Okasha, Claudia P. Oliveira, Aysegul Oz, Osman Özdoğan, Nonthalee Pausawasdi, Jie Peng, Shanta J. Persaud, Joanna M. Pienkowska, Tingyue Qi, Weiguang Qiao, Yi Qin, Ramesh Rajan, Hongbo Ren, Takahiko Sakaue, Sara A. Sedeek, Gabriel Q. Shaibi, Xiatiguli Shamaitijiang, Dong Shang, Qiao Shi, Xiaolei Shi, Shuhei Shinoda, Channabasappa Shivaprasad, Loren Skudder-Hill, Samantha A. Streicher, Charlotte Stuart, Tricia M-M Tan, Raymond Shing Yan Tang, Xiaowei Tang, Pengxian Tao, Ahmed Tawheed, E. Louise Thomas, Andrew T. Trout, Fatih Türker, Nicola Veronese, Cristiane A. Villela-Nogueira, Alexander von Kriegsheim, Meihua Wan, Rong Wan, Gang Wang, Shengfeng Wang, Wei Wang, Yaochen Wang, Zheng Wang, Wenping Wei, Li Wen, Dong Wu, Heshui Wu, Wenbin Wu, Katie Wynne, Liang Xia, Hong Xiang, Hongwei Xu, Kedong Xu, Qiang Xu, Hanieh Yaghootkar, Yong Yang, Cemal Yazici, Tao Yin, Ping Yu, Xiao Yu, Xiaoping Yu, Chenchen Yuan, Yue Zeng, Wenlong Zhai, Jasmine Zhang, Xiaofeng Zhang, Yao Zhang, Yingxin Zhang, Yun Zhang, Yi Zhao, Chunhua Zhou, Sisi Zhou, Changju Zhu, Kexiang Zhu, Qingtian Zhu, Xiaoliang Zhu, Yin Zhu, Duowu Zou, Wenbin Zou. Conceptual framework and expert guidance on intrapancreatic fat deposition: the Melbourne consensusNature Reviews Gastroenterology & Hepatology 2026;  doi: 10.1038/s41575-026-01224-6
15
Xiatiguli Shamaitijiang, Wandia Kimita, Juyeon Ko, Loren Skudder-Hill, Yutong Liu, Maxim S. Petrov. Relationship of Liver Blood Tests and T1 Relaxation Time With Intra-pancreatic Fat DepositionJournal of Clinical and Experimental Hepatology 2024; 14(3) doi: 10.1016/j.jceh.2023.101343
16
Maxim S. Petrov, Roy Taylor. Intra-pancreatic fat deposition: bringing hidden fat to the foreNature Reviews Gastroenterology & Hepatology 2022; 19(3) doi: 10.1038/s41575-021-00551-0