Jin He
Impact in
- Developmental Neuroscience top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Pluripotent Stem Cells Research
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Histone Deacetylase Inhibitors Research
Papers in
- Immunology 22
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 8
-
- Epigenetics and DNA Methylation 15
- Cancer-related gene regulation 8
- Pluripotent Stem Cells Research 6
- RNA modifications and cancer 6
- Co-authors
- Yi ZhangOlena TaranovaAnh T. NguyenGaoyang LiangLi ShenKimberly NixonEric M. KallinFulton T. Crews
- Journals
- Blood (4 papers)International Journal of Infectious Diseases (2 papers)Nature Cell Biology (2 papers)iScience (2 papers)Frontiers in Behavioral Neuroscience (2 papers)
- Partner nations
- United StatesChinaU.S. Virgin Islands
In The Last Decade
Jin He
64 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 118
- Developmental Neuroscience 153
- Molecular Biology 2.3k
- Cancer Research 478
- Immunology 481
- Hematology 220
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 50 | |
| 11 | 2019 | 5 | |
| 12 | 2015 | 5 | |
| 13 | 2012 | 131 | |
| 14 | 2010 | 9 | |
| 15 | 2008 | 98 | |
| 16 | 2008 | 267 | |
| 17 | 2008 | 2 | |
| 18 | 2005 | 73 | |
| 19 | 2004 | 13 | |
| 20 | 2004 | 35 |
About Jin He
Jin He is a scholar working on Immunology, Molecular Biology, Cancer Research, Developmental Neuroscience and Genetics, having authored 67 papers that have together received 3.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (15 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (8 papers), Cancer-related gene regulation (8 papers), Immune Cell Function and Interaction (8 papers), Pluripotent Stem Cells Research (6 papers), RNA modifications and cancer (6 papers) and Genetics and Neurodevelopmental Disorders (6 papers). The work is most often cited by research in Developmental Neuroscience (153 citations), Molecular Biology (2.3k citations), Cancer Research (478 citations), Immunology (481 citations) and Hematology (220 citations). Jin He has collaborated with scholars based in United States, China and U.S. Virgin Islands. Frequent co-authors include Yi Zhang, Olena Taranova, Anh T. Nguyen, Gaoyang Liang, Li Shen, Kimberly Nixon, Eric M. Kallin, Fulton T. Crews, Yu-ichi Tsukada and Keisuke Tateishi. Their work appears in journals such as Blood, International Journal of Infectious Diseases, Nature Cell Biology, iScience and Frontiers in Behavioral Neuroscience.
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.