Jin He
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Renal and related cancers 8
- RNA modifications and cancer 8
- RNA Research and Splicing 6
- Circular RNAs in diseases 4
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 4
- Co-authors
- John D. Mountz (2 shared papers)Peter H. Schur (1 shared paper)Tong Zhou (1 shared paper)Jie Wu (1 shared paper)Leihong Xiang (1 shared paper)Janet E. Wilson (1 shared paper)Cheryl A. Smyth (1 shared paper)Guadalupe Bilbao (1 shared paper)
- Journals
- Genes (5 papers)International Journal of Molecular Sciences (3 papers)Hypertension (3 papers)Clinical Epigenetics (2 papers)Gene (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Jin He
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Immunology 445
- Cancer Research 140
- Rheumatology 134
- Molecular Biology 525
- Genetics 167
Countries citing papers authored by Jin He
This map shows the geographic impact of Jin 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 Jin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin He more than expected).
Fields of papers citing papers by Jin He
This network shows the impact of papers produced by Jin 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 Jin He. The network helps show where Jin He may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 366 | |
| 2 | 1993 | 244 | |
| 3 | 2001 | 88 | |
| 4 | 2020 | 44 | |
| 5 | 1992 | 43 | |
| 6 | 2021 | 34 | |
| 7 | 2020 | 31 | |
| 8 | 2015 | 21 | |
| 9 | 2020 | 16 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 1992 | 10 | |
| 18 | 2011 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2023 | 9 |
About Jin He
Jin He is a scholar working on Molecular Biology, Cancer Research, Genetics, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal and related cancers (8 papers), Genetic and Kidney Cyst Diseases (8 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (6 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers) and Pulmonary Hypertension Research and Treatments (3 papers). The work is most often cited by research in Immunology (445 citations), Cancer Research (140 citations), Rheumatology (134 citations), Molecular Biology (525 citations) and Genetics (167 citations). Jin He has collaborated with scholars based in China, United States and India. Frequent co-authors include John D. Mountz, Peter H. Schur, Tong Zhou, Jie Wu, Leihong Xiang, Janet E. Wilson, Cheryl A. Smyth, Guadalupe Bilbao, Judith M. Thomas and Juan L. Contreras. Their work appears in journals such as Genes, International Journal of Molecular Sciences, Hypertension, Clinical Epigenetics and Gene.
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.