Lei Jin
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Hepatitis C virus research
- Genetics top 2%
- Mesenchymal stem cell research
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
Papers in
-
- Epigenetics and DNA Methylation 3
- Genetics 11
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 6
- Glioma Diagnosis and Treatment 3
- Co-authors
- Saima Chaudhry (1 shared paper)David Meltzer (1 shared paper)James A. Wells (2 shared papers)Ming Shi (6 shared papers)Fu‐Sheng Wang (6 shared papers)B M Fendly (1 shared paper)Junliang Fu (4 shared papers)Zhengsheng Zou (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Cancer (2 papers)Clinical Immunology (2 papers)Annals of Translational Medicine (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Lei Jin
64 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 139
- Hepatology 391
- Genetics 505
- Cancer Research 294
- Immunology 383
- Epidemiology 553
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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 375 | |
| 2 | 2005 | 300 | |
| 3 | 2012 | 279 | |
| 4 | 1992 | 186 | |
| 5 | 2018 | 160 | |
| 6 | 2001 | 122 | |
| 7 | 2021 | 95 | |
| 8 | 2015 | 93 | |
| 9 | 2017 | 90 | |
| 10 | 2020 | 87 | |
| 11 | 2014 | 82 | |
| 12 | 1994 | 62 | |
| 13 | 2005 | 58 | |
| 14 | 2006 | 58 | |
| 15 | 2006 | 53 | |
| 16 | 2006 | 53 | |
| 17 | 2016 | 45 | |
| 18 | 2006 | 45 | |
| 19 | 2004 | 44 | |
| 20 | 2016 | 40 |
About Lei Jin
Lei Jin is a scholar working on Molecular Biology, Genetics, Surgery, Epidemiology and Cancer Research, having authored 66 papers that have together received 2.9k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Hepatitis B Virus Studies (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Epigenetics and DNA Methylation (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Hepatology (391 citations), Genetics (505 citations), Cancer Research (294 citations), Immunology (383 citations) and Epidemiology (553 citations). Lei Jin has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Saima Chaudhry, David Meltzer, James A. Wells, Ming Shi, Fu‐Sheng Wang, B M Fendly, Junliang Fu, Zhengsheng Zou, Wei‐Ren Liu and Ying–Hong Shi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cancer, Clinical Immunology, Annals of Translational Medicine and Oncotarget.
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.