Bin Jin
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Hepatology 22
- Hepatocellular Carcinoma Treatment and Prognosis 14
- Liver physiology and pathology 7
- Surgery 26
- Cholangiocarcinoma and Gallbladder Cancer Studies 11
- Organ Transplantation Techniques and Outcomes 7
- Co-authors
- Xiangyu Zhai (23 shared papers)Gang Du (17 shared papers)Hao Zhang (15 shared papers)Zhijia Xia (5 shared papers)Zhengchen Jiang (8 shared papers)Binghai Zhou (2 shared papers)Sanyuan Hu (7 shared papers)Wei Wang (2 shared papers)
- Journals
- Surgical Endoscopy (3 papers)BioMed Research International (2 papers)Aging (2 papers)Frontiers in Immunology (2 papers)Cellular and Molecular Life Sciences (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Bin Jin
65 papers receiving 1.1k citations
Bin Jin's Hit Papers
Peers
Comparison fields: 5 of 84
- Hepatology 180
- Cancer Research 168
- Oncology 171
- Pulmonary and Respiratory Medicine 158
- Biomaterials 61
Countries citing papers authored by Bin Jin
This map shows the geographic impact of Bin Jin'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 Bin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Jin more than expected).
Fields of papers citing papers by Bin Jin
This network shows the impact of papers produced by Bin Jin. 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 Bin Jin. The network helps show where Bin Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Jin, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 85 | |
| 2 | 2023 | 80 | |
| 3 | 2023 | 77 | |
| 4 | KIF18A inactivates hepatic stellate cells and alleviates liver fibrosis through the TTC3/Akt/mTOR pathway Hit paper breakdown → | 2024 | 71 |
| 5 | 2008 | 62 | |
| 6 | Identifying hub genes and dysregulated pathways in hepatocellular carcinoma. | 2015 | 58 |
| 7 | 2024 | 58 | |
| 8 | 2024 | 50 | |
| 9 | 2023 | 48 | |
| 10 | 2022 | 45 | |
| 11 | 2019 | 28 | |
| 12 | 2015 | 26 | |
| 13 | 2017 | 24 | |
| 14 | 2007 | 23 | |
| 15 | 2008 | 22 | |
| 16 | 2018 | 20 | |
| 17 | 2009 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2019 | 18 | |
| 20 | 2020 | 18 |
About Bin Jin
Bin Jin is a scholar working on Hepatology, Surgery, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Organ Transplantation Techniques and Outcomes (7 papers), Liver physiology and pathology (7 papers), Cancer Immunotherapy and Biomarkers (3 papers), Ferroptosis and cancer prognosis (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (180 citations), Cancer Research (168 citations), Oncology (171 citations), Pulmonary and Respiratory Medicine (158 citations) and Biomaterials (61 citations). Bin Jin has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiangyu Zhai, Gang Du, Hao Zhang, Zhijia Xia, Zhengchen Jiang, Binghai Zhou, Sanyuan Hu, Wei Wang, Yanfeng Liu and Wei Wang. Their work appears in journals such as Surgical Endoscopy, BioMed Research International, Aging, Frontiers in Immunology and Cellular and Molecular Life Sciences.
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.