Han Chen
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Single-cell and spatial transcriptomics 5
- Ubiquitin and proteasome pathways 4
- Extracellular vesicles in disease 3
- Epidemiology 14
- Autophagy in Disease and Therapy 4
- Influenza Virus Research Studies 3
- Co-authors
- Raag D. Airan (1 shared paper)Madhuri Roy (1 shared paper)Leslie Meltzer (1 shared paper)Yuqing Gong (1 shared paper)Karl Deisseroth (1 shared paper)Cao Huang (2 shared papers)Hongxia Zhou (2 shared papers)Hong‐Gang Wang (5 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Nature Communications (3 papers)Virology Journal (2 papers)PLoS Genetics (2 papers)Apmis (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Han Chen
60 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 114
- Developmental Neuroscience 136
- Neurology 389
- Behavioral Neuroscience 87
- Biological Psychiatry 54
- Genetics 211
Countries citing papers authored by Han Chen
This map shows the geographic impact of Han 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 Han Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Chen more than expected).
Fields of papers citing papers by Han Chen
This network shows the impact of papers produced by Han 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 Han Chen. The network helps show where Han Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Chen, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 316 | |
| 2 | 2018 | 271 | |
| 3 | 2010 | 161 | |
| 4 | 2011 | 160 | |
| 5 | 2011 | 152 | |
| 6 | 2005 | 114 | |
| 7 | 2022 | 109 | |
| 8 | 2019 | 97 | |
| 9 | 2020 | 94 | |
| 10 | 2017 | 70 | |
| 11 | 2022 | 68 | |
| 12 | 2013 | 54 | |
| 13 | 2019 | 34 | |
| 14 | 2015 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2022 | 28 | |
| 17 | 2023 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2021 | 23 | |
| 20 | 2020 | 20 |
About Han Chen
Han Chen is a scholar working on Molecular Biology, Epidemiology, Immunology, Neurology and Infectious Diseases, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (4 papers), Immunotherapy and Immune Responses (3 papers), COVID-19 Clinical Research Studies (3 papers), Influenza Virus Research Studies (3 papers), Immune Cell Function and Interaction (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Developmental Neuroscience (136 citations), Neurology (389 citations), Behavioral Neuroscience (87 citations), Biological Psychiatry (54 citations) and Genetics (211 citations). Han Chen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Raag D. Airan, Madhuri Roy, Leslie Meltzer, Yuqing Gong, Karl Deisseroth, Cao Huang, Hongxia Zhou, Hong‐Gang Wang, Megan M. Young and Yoshinori Takahashi. Their work appears in journals such as Frontiers in Immunology, Nature Communications, Virology Journal, PLoS Genetics and Apmis.
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.