Can Gan
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Liver Diseases and Immunity
-
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 10
- Liver physiology and pathology 5
- Liver Disease and Transplantation 3
- Liver Diseases and Immunity 2
-
- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Jinhang Gao (10 shared papers)Chengwei Tang (8 shared papers)Yangkun Guo (2 shared papers)Enis Kostallari (3 shared papers)Xingming Sun (2 shared papers)Yang Tai (3 shared papers)Yuling Liu (2 shared papers)Tian Lan (2 shared papers)
- Journals
- Gastroenterology (2 papers)JCI Insight (2 papers)Signal Transduction and Targeted Therapy (1 paper)Frontiers in Pharmacology (1 paper)Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Can Gan
21 papers receiving 552 citations
Can Gan's Hit Papers
Peers
Comparison fields: 5 of 65
- Hepatology 134
- Epidemiology 149
- Immunology 83
- Pharmacology 28
- Cancer Research 43
Countries citing papers authored by Can Gan
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
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-authors
The 25 scholars most cited alongside Can Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | STING mediates hepatocyte pyroptosis in liver fibrosis by Epigenetically activating the NLRP3 inflammasome Hit paper breakdown → | 2023 | 121 |
| 2 | 2022 | 73 | |
| 3 | Liver diseases: epidemiology, causes, trends and predictions Hit paper breakdown → | 2025 | 72 |
| 4 | 2022 | 64 | |
| 5 | 2022 | 46 | |
| 6 | 2007 | 38 | |
| 7 | 2021 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2021 | 16 | |
| 10 | High HIF-1α expression predicts poor prognosis of patients with colon adenocarcinoma. | 2018 | 13 |
| 11 | 2025 | 12 | |
| 12 | Steganalysis on Synonym Substitution Steganography | 2008 | 12 |
| 13 | 2020 | 10 | |
| 14 | 2007 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2007 | 5 | |
| 20 | 2019 | 1 |
About Can Gan
Can Gan is a scholar working on Hepatology, Epidemiology, Surgery, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 22 papers that have together received 564 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver physiology and pathology (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Chaos-based Image/Signal Encryption (3 papers), Liver Disease and Transplantation (3 papers), interferon and immune responses (2 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Hepatology (134 citations), Epidemiology (149 citations), Immunology (83 citations), Pharmacology (28 citations) and Cancer Research (43 citations). Can Gan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jinhang Gao, Chengwei Tang, Yangkun Guo, Enis Kostallari, Xingming Sun, Yang Tai, Yuling Liu, Tian Lan, Yang Xiao and Bei Li. Their work appears in journals such as Gastroenterology, JCI Insight, Signal Transduction and Targeted Therapy, Frontiers in Pharmacology and Journal of Molecular Medicine.
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.