Zhihong Chen
- Immunology top 2%
- Neurology top 0.5%
- Molecular Biology top 10%
- Genetics top 1%
- Oncology top 10%
- Co-authors
- Dolores HambardzumyanBruce D. TrappRanjan DuttaCameron J. HertingGrahame J. KiddWalid JalabiRikke RasmussenVirginia Álvarez-García
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (18 papers)Immune cells in cancer (14 papers)Glioma Diagnosis and Treatment (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zhihong Chen
34 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology 1.3k
- Neurology 1.3k
- Molecular Biology 741
- Genetics 713
- Oncology 379
Countries citing papers authored by Zhihong Chen
This map shows the geographic impact of Zhihong Chen'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 Zhihong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihong Chen more than expected).
Fields of papers citing papers by Zhihong Chen
This network shows the impact of papers produced by Zhihong Chen. 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 Zhihong Chen. The network helps show where Zhihong Chen may publish in the future.
Co-authorship network of co-authors of Zhihong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Zhihong Chen. A scholar is included among the top collaborators of Zhihong Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhihong Chen. Zhihong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 32 | |
| 3 | Hypoxic niches attract and sequester tumor-associated macrophages and cytotoxic T cells and reprogram them for immunosuppressionbreakdown → | 134 |
| 4 | 22 | |
| 5 | 111 | |
| 6 | 75 | |
| 7 | 306 | |
| 8 | 12 | |
| 9 | 8 | |
| 10 | 23 | |
| 11 | Cellular and Molecular Identity of Tumor-Associated Macrophages in Glioblastomabreakdown → | 488 |
| 12 | 7 | |
| 13 | 246 | |
| 14 | 52 | |
| 15 | 72 | |
| 16 | 24 | |
| 17 | 348 | |
| 18 | 7 | |
| 19 | 21 | |
| 20 | 84 |
About Zhihong Chen
Zhihong Chen is a scholar working on Neurology, Immunology and Developmental Neuroscience, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Immune cells in cancer (14 papers) and Glioma Diagnosis and Treatment (8 papers). The work is most often cited by research in Neurology (1.3k citations), Biological Psychiatry (186 citations) and Genetics (713 citations). Zhihong Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dolores Hambardzumyan, Bruce D. Trapp, Ranjan Dutta, Cameron J. Herting, Grahame J. Kidd, Walid Jalabi, Rikke Rasmussen, Virginia Álvarez-García, Xi Feng and David H. Gutmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of 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.