Lei Jin
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Liver Disease and Transplantation
Papers in
- Hepatology 12
- Hepatocellular Carcinoma Treatment and Prognosis 10
- Genetics 8
- Glioma Diagnosis and Treatment 4
- Mesenchymal stem cell research 4
- Co-authors
- David Meltzer (1 shared paper)Saima I. Chaudhry (1 shared paper)James A. Wells (2 shared papers)Ming Shi (6 shared papers)Fu‐Sheng Wang (6 shared papers)BRIAN M. FENDLY (1 shared paper)Junliang Fu (4 shared papers)Zhengsheng Zou (2 shared papers)
- Journals
- Annals of Translational Medicine (2 papers)Clinical Immunology (2 papers)World Neurosurgery (2 papers)Oncotarget (2 papers)Stem Cells Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lei Jin
58 papers receiving 3k citations
Peers
Comparison fields: 5 of 126
- Genetics 410
- Hepatology 399
- Geriatrics and Gerontology 120
- Epidemiology 540
- Cancer Research 216
Countries citing papers authored by Lei Jin
This map shows the geographic impact of Lei 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 Lei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Jin more than expected).
Fields of papers citing papers by Lei Jin
This network shows the impact of papers produced by Lei 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 Lei Jin. The network helps show where Lei Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 389 | |
| 2 | 2005 | 319 | |
| 3 | 2012 | 301 | |
| 4 | 2018 | 244 | |
| 5 | 1992 | 184 | |
| 6 | 2018 | 170 | |
| 7 | 2001 | 122 | |
| 8 | 2021 | 109 | |
| 9 | 2015 | 101 | |
| 10 | 2020 | 97 | |
| 11 | 2017 | 96 | |
| 12 | 2014 | 82 | |
| 13 | 1994 | 66 | |
| 14 | 2006 | 54 | |
| 15 | 2016 | 48 | |
| 16 | 2016 | 47 | |
| 17 | 2022 | 46 | |
| 18 | 2015 | 39 | |
| 19 | 2014 | 33 | |
| 20 | 2020 | 33 |
About Lei Jin
Lei Jin is a scholar working on Hepatology, Genetics, Epidemiology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 59 papers that have together received 3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Glioma Diagnosis and Treatment (4 papers), Hepatitis B Virus Studies (4 papers), Mesenchymal stem cell research (4 papers), AI in cancer detection (4 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Genetics (410 citations), Hepatology (399 citations), Geriatrics and Gerontology (120 citations), Epidemiology (540 citations) and Cancer Research (216 citations). Lei Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include David Meltzer, Saima I. Chaudhry, James A. Wells, Ming Shi, Fu‐Sheng Wang, BRIAN M. FENDLY, Junliang Fu, Zhengsheng Zou, Ying–Hong Shi and Meng‐Xin Tian. Their work appears in journals such as Annals of Translational Medicine, Clinical Immunology, World Neurosurgery, Oncotarget and Stem Cells Translational 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.