Can Gan

677 total citations · 2 hit papers
17 papers, 423 citations indexed

About

Can Gan is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Can Gan has authored 17 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hepatology, 8 papers in Epidemiology and 7 papers in Surgery. Recurrent topics in Can Gan's work include Liver Disease Diagnosis and Treatment (7 papers), Liver physiology and pathology (5 papers) and Liver Disease and Transplantation (4 papers). Can Gan is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Liver physiology and pathology (5 papers) and Liver Disease and Transplantation (4 papers). Can Gan collaborates with scholars based in China, United States and Switzerland. Can Gan's co-authors include Jinhang Gao, Chengwei Tang, Yangkun Guo, Enis Kostallari, Yang Tai, Bei Li, Yang Xiao, Tian Lan, Chong Zhao and Nidhi Jalan‐Sakrikar and has published in prestigious journals such as Gastroenterology, Journal of Hepatology and Frontiers in Immunology.

In The Last Decade

Can Gan

17 papers receiving 416 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

STING mediates hepatocyte pyroptosis in liver fibrosis by Epigenetically activating the NLRP3 inflammasome

2023 104 citations Yang Xiao, Chong Zhao et al. Redox Biology profile →
Liver diseases: epidemiology, causes, trends and predictions

2025 39 citations Can Gan, Yuan Yuan et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Can Gan China	10	168	167	135	86	72	17	423
Xiaobo Cai China	11	179 1.1×	120 0.7×	173 1.3×	51 0.6×	80 1.1×	24	377
Daniel Karin United States	6	183 1.1×	83 0.5×	195 1.4×	71 0.8×	81 1.1×	6	385
Mirella Pastore Italy	9	163 1.0×	111 0.7×	148 1.1×	56 0.7×	129 1.8×	21	396
Roman Liebe Germany	11	260 1.5×	135 0.8×	192 1.4×	37 0.4×	105 1.5×	36	468
Milica Stefanović Spain	9	121 0.7×	146 0.9×	96 0.7×	147 1.7×	104 1.4×	26	454
Jörg‐Martin Bangen Germany	5	111 0.7×	205 1.2×	89 0.7×	40 0.5×	39 0.5×	6	365
Hai-Xing Jiang China	10	91 0.5×	99 0.6×	79 0.6×	101 1.2×	44 0.6×	22	344
Zhi-bing Ou China	11	155 0.9×	183 1.1×	49 0.4×	81 0.9×	117 1.6×	12	409
Carlos Sanz‐García Spain	10	297 1.8×	218 1.3×	89 0.7×	132 1.5×	55 0.8×	20	542

Countries citing papers authored by Can Gan

Since Specialization

Citations

This map shows the geographic impact of Can Gan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Can Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Gan more than expected).

Fields of papers citing papers by Can Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Can Gan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Can Gan. The network helps show where Can Gan may publish in the future.

Co-authorship network of co-authors of Can Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Can Gan. A scholar is included among the top collaborators of Can Gan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Can Gan. Can Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Gan, Can, Yuan Yuan, Haiyuan Shen, et al.. (2025). Liver diseases: epidemiology, causes, trends and predictions. Signal Transduction and Targeted Therapy. 10(1). 33–33. 39 indexed citations breakdown →

Zhao, Jiahui, et al.. (2025). MASLD development: From molecular pathogenesis toward therapeutic strategies. Chinese Medical Journal. 138(15). 1807–1824. 4 indexed citations

Gan, Can, Usman Yaqoob, Nidhi Jalan‐Sakrikar, et al.. (2024). Liver sinusoidal endothelial cells contribute to portal hypertension through collagen type IV–driven sinusoidal remodeling. JCI Insight. 9(11). 7 indexed citations

Lan, Tian, Yang Tai, Chong Zhao, et al.. (2023). Atypical cholangiocytes derived from hepatocyte-cholangiocyte transdifferentiation mediated by COX-2: a kind of misguided liver regeneration. Inflammation and Regeneration. 43(1). 37–37. 6 indexed citations

Xiao, Yang, Chong Zhao, Yang Tai, et al.. (2023). STING mediates hepatocyte pyroptosis in liver fibrosis by Epigenetically activating the NLRP3 inflammasome. Redox Biology. 62. 102691–102691. 104 indexed citations breakdown →

Jalan‐Sakrikar, Nidhi, Usman Yaqoob, Can Gan, et al.. (2023). Telomere dysfunction promotes cholangiocyte senescence and biliary fibrosis in primary sclerosing cholangitis. JCI Insight. 8(20). 4 indexed citations

Greuter, Thomas, Usman Yaqoob, Can Gan, et al.. (2022). Mechanotransduction-induced glycolysis epigenetically regulates a CXCL1-dominant angiocrine signaling program in liver sinusoidal endothelial cells in vitro and in vivo. Journal of Hepatology. 77(3). 723–734. 59 indexed citations

Sun, Liankang, Yuanguo Wang, Sumera I. Ilyas, et al.. (2022). PD-L1 promotes myofibroblastic activation of hepatic stellate cells by distinct mechanisms selective for TGF-β receptor I versus II. Cell Reports. 38(6). 110349–110349. 42 indexed citations

Gan, Can, et al.. (2022). Inflammasomes and Pyroptosis of Liver Cells in Liver Fibrosis. Frontiers in Immunology. 13. 896473–896473. 69 indexed citations

10.

Gan, Can, et al.. (2021). Mechanism and Therapeutic Opportunities of Histone Modifications in Chronic Liver Disease. Frontiers in Pharmacology. 12. 784591–784591. 21 indexed citations

11.

Huang, Zhiyin, Jinhang Gao, Chong Zhao, et al.. (2021). Celecoxib ameliorates liver cirrhosis via reducing inflammation and oxidative stress along spleen-liver axis in rats. Life Sciences. 272. 119203–119203. 16 indexed citations

12.

Zhao, Chong, Can Gan, Xiao Yang, et al.. (2020). High expression of long non-coding RNA Linc-A associates with poor survival in patients with colorectal cancer. Molecular Biology Reports. 47(10). 7497–7504. 7 indexed citations

13.

Tong, Huan, Can Gan, Bo Wei, et al.. (2020). Risk factors for overt hepatic encephalopathy after transjugular intrahepatic portosystemic shunt creation in patients with liver cirrhosis. Journal of Digestive Diseases. 22(1). 31–40. 10 indexed citations

14.

Huang, Zhiyin, et al.. (2019). 601 – The Effect of Esomeprazole on the Duodenal Microbiota in Severe Acute Pancreatitis: A Prospective Randomized Controlled Stud. Gastroenterology. 156(6). S–120. 1 indexed citations

15.

Gan, Can, Chengwei Tang, & Rui Liu. (2019). Mo2029 – Octreotide Ameliorates Obesity-Induced Pancreatic Steatosis Via Srebp-1C Pathway. Gastroenterology. 156(6). S–932. 1 indexed citations

16.

Huang, Zhiyin, Chong Zhao, Rui Liu, et al.. (2018). High HIF-1α expression predicts poor prognosis of patients with colon adenocarcinoma.. PubMed. 11(12). 5635–5646. 13 indexed citations

17.

Gan, Can, et al.. (2017). Efficacy and safety of pancreatic enzyme replacement therapy on exocrine pancreatic insufficiency: a meta-analysis. Oncotarget. 8(55). 94920–94931. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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