Ji He
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
Papers in
- Immunology 150
- T-cell and B-cell Immunology 145
- Immune Cell Function and Interaction 145
- Immunotherapy and Immune Responses 118
- Immunodeficiency and Autoimmune Disorders 6
- Hematology 29
- Blood groups and transfusion 24
- Platelet Disorders and Treatments 12
- Co-authors
- Faming Zhu (183 shared papers)Lina Dong (37 shared papers)Jingjing Zhang (2 shared papers)Wei Wang (17 shared papers)Fang Wang (22 shared papers)Wei Wang (1 shared paper)Wei Zhang (2 shared papers)H.‐J. Lv (29 shared papers)
- Journals
- HLA (94 papers)Transfusion (9 papers)International Journal of Immunogenetics (7 papers)Frontiers in Immunology (4 papers)Human Immunology (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ji He
181 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 69
- Immunology 691
- Transplantation 61
- Hematology 186
- Infectious Diseases 115
- Epidemiology 106
Countries citing papers authored by Ji He
This map shows the geographic impact of Ji He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji He more than expected).
Fields of papers citing papers by Ji He
This network shows the impact of papers produced by Ji He. 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 He. The network helps show where Ji He may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji He, 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 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 140 | |
| 2 | 2021 | 79 | |
| 3 | 2013 | 64 | |
| 4 | 2018 | 49 | |
| 5 | 2005 | 23 | |
| 6 | 2014 | 22 | |
| 7 | 2011 | 19 | |
| 8 | 2014 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2015 | 16 | |
| 11 | 2012 | 14 | |
| 12 | 2014 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2006 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2006 | 10 | |
| 18 | 2005 | 10 | |
| 19 | 2015 | 10 | |
| 20 | 2012 | 9 |
About Ji He
Ji He is a scholar working on Immunology, Hematology, Genetics, Molecular Biology and Physiology, having authored 193 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (145 papers), Immune Cell Function and Interaction (145 papers), Immunotherapy and Immune Responses (118 papers), Blood groups and transfusion (24 papers), Platelet Disorders and Treatments (12 papers), Blood disorders and treatments (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Erythrocyte Function and Pathophysiology (6 papers). The work is most often cited by research in Immunology (691 citations), Transplantation (61 citations), Hematology (186 citations), Infectious Diseases (115 citations) and Epidemiology (106 citations). Ji He has collaborated with scholars based in China and United States. Frequent co-authors include Faming Zhu, Lina Dong, Jingjing Zhang, Wei Wang, Fang Wang, Wei Wang, Wei Zhang, H.‐J. Lv, W. Zhang and Wei Zhang. Their work appears in journals such as HLA, Transfusion, International Journal of Immunogenetics, Frontiers in Immunology and Human Immunology.
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.