Ji Lei
Impact in
- Obstetrics and Gynecology top 0.5%
- Pregnancy and preeclampsia studies
- Immunology top 2%
- Reproductive System and Pregnancy
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 20
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 7
- Surgery 17
- Pancreatic function and diabetes 14
- Co-authors
- Yanling Wang (8 shared papers)Chun Peng (5 shared papers)Guodong Fu (3 shared papers)Reginald M. Gorczynski (7 shared papers)Ming Liu (2 shared papers)Jelena Brkić (1 shared paper)James F. Markmann (19 shared papers)Wei‐Ping Min (4 shared papers)
- Journals
- American Journal of Transplantation (6 papers)The Journal of Immunology (3 papers)Xenotransplantation (3 papers)Hypertension (3 papers)Transplantation (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ji Lei
52 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 89
- Obstetrics and Gynecology 704
- Immunology 935
- Cancer Research 458
- Transplantation 79
- Neurology 130
Countries citing papers authored by Ji Lei
This map shows the geographic impact of Ji Lei'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 Ji Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Lei more than expected).
Fields of papers citing papers by Ji Lei
This network shows the impact of papers produced by Ji Lei. 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 Ji Lei. The network helps show where Ji Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Lei, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 324 | |
| 2 | 2014 | 201 | |
| 3 | 2000 | 195 | |
| 4 | 2014 | 186 | |
| 5 | 2013 | 143 | |
| 6 | 2013 | 131 | |
| 7 | 1999 | 130 | |
| 8 | 2015 | 99 | |
| 9 | 2014 | 98 | |
| 10 | 2012 | 87 | |
| 11 | 2013 | 86 | |
| 12 | 1999 | 64 | |
| 13 | 2022 | 54 | |
| 14 | 2001 | 49 | |
| 15 | 2012 | 48 | |
| 16 | 2012 | 45 | |
| 17 | 2015 | 40 | |
| 18 | 2000 | 39 | |
| 19 | 2010 | 36 | |
| 20 | 2014 | 32 |
About Ji Lei
Ji Lei is a scholar working on Immunology, Surgery, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), T-cell and B-cell Immunology (13 papers), Diabetes and associated disorders (10 papers), Immunotherapy and Immune Responses (8 papers), Diabetes Management and Research (7 papers), Immune Cell Function and Interaction (7 papers), Pregnancy and preeclampsia studies (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Obstetrics and Gynecology (704 citations), Immunology (935 citations), Cancer Research (458 citations), Transplantation (79 citations) and Neurology (130 citations). Ji Lei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yanling Wang, Chun Peng, Guodong Fu, Reginald M. Gorczynski, Ming Liu, Jelena Brkić, James F. Markmann, Wei‐Ping Min, Mark S. Cattral and Yangyu Zhao. Their work appears in journals such as American Journal of Transplantation, The Journal of Immunology, Xenotransplantation, Hypertension and Transplantation.
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.