Shuning He
Impact in
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
- Immunology top 5%
- Aquaculture disease management and microbiota
- Immune Response and Inflammation
- interferon and immune responses
Papers in
- Cell Biology 13
- Zebrafish Biomedical Research Applications 10
- Neurology 12
- Neuroblastoma Research and Treatments 12
- Neurofibromatosis and Schwannoma Cases 5
- Co-authors
- Ewa B. Snaar-Jagalska (14 shared papers)Herman P. Spaink (11 shared papers)A. Thomas Look (20 shared papers)Annemarie H. Meijer (5 shared papers)Wilbert Bitter (1 shared paper)Zhaodong Li (4 shared papers)Gabriel Krens (5 shared papers)Veerander P.S. Ghotra (4 shared papers)
- Journals
- Oncogene (3 papers)Cancer Research (3 papers)Leukemia (2 papers)Disease Models & Mechanisms (2 papers)Zebrafish (2 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Shuning He
43 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 97
- Cell Biology 705
- Immunology 711
- Cancer Research 446
- Neurology 434
- Molecular Biology 1.3k
Countries citing papers authored by Shuning He
This map shows the geographic impact of Shuning 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 Shuning He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuning He more than expected).
Fields of papers citing papers by Shuning He
This network shows the impact of papers produced by Shuning 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 Shuning He. The network helps show where Shuning He may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuning 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 469 | |
| 2 | 2018 | 201 | |
| 3 | 2017 | 175 | |
| 4 | 2012 | 163 | |
| 5 | 2021 | 113 | |
| 6 | 2018 | 108 | |
| 7 | 2013 | 105 | |
| 8 | 2014 | 99 | |
| 9 | 2020 | 84 | |
| 10 | 2006 | 83 | |
| 11 | 2012 | 82 | |
| 12 | 2017 | 79 | |
| 13 | 2012 | 75 | |
| 14 | 2016 | 74 | |
| 15 | 2008 | 58 | |
| 16 | 2014 | 58 | |
| 17 | 2014 | 57 | |
| 18 | 2008 | 47 | |
| 19 | 2011 | 46 | |
| 20 | 2021 | 45 |
About Shuning He
Shuning He is a scholar working on Cell Biology, Neurology, Cancer Research, Molecular Biology and Hematology, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (12 papers), Zebrafish Biomedical Research Applications (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), Acute Myeloid Leukemia Research (6 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Epigenetics and DNA Methylation (5 papers), Protein Degradation and Inhibitors (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Cell Biology (705 citations), Immunology (711 citations), Cancer Research (446 citations), Neurology (434 citations) and Molecular Biology (1.3k citations). Shuning He has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Ewa B. Snaar-Jagalska, Herman P. Spaink, A. Thomas Look, Annemarie H. Meijer, Wilbert Bitter, Zhaodong Li, Gabriel Krens, Veerander P.S. Ghotra, Erik H.J. Danen and Mark W. Zimmerman. Their work appears in journals such as Oncogene, Cancer Research, Leukemia, Disease Models & Mechanisms and Zebrafish.
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.