Jinmiao Chen
Impact in
- Immunology top 0.5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Immunology 34
- Immune cells in cancer 13
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 6
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- Cell Image Analysis Techniques 7
- Co-authors
- Florent GinhouxMichael PoidingerJosephine LumEvan W. NewellKok Siong AngFrancesca ZolezziAnis LarbiXiaomeng Zhang
- Journals
- Immunity (6 papers)Frontiers in Immunology (6 papers)Nature Communications (4 papers)Bioinformatics (3 papers)Nature Immunology (3 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Jinmiao Chen
70 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Immunology 4.1k
- Neurology 1.6k
- Biological Psychiatry 191
- Developmental Neuroscience 271
- Biophysics 352
Countries citing papers authored by Jinmiao Chen
This map shows the geographic impact of Jinmiao 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 Jinmiao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinmiao Chen more than expected).
Fields of papers citing papers by Jinmiao Chen
This network shows the impact of papers produced by Jinmiao 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 Jinmiao Chen. The network helps show where Jinmiao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinmiao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST Hit paper breakdown → | 2023 | 230 |
| 3 | 2023 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2020 | 11 | |
| 10 | 2019 | 154 | |
| 11 | 2019 | 58 | |
| 12 | 2016 | 212 | |
| 13 | 2016 | 27 | |
| 14 | 2016 | 50 | |
| 15 | 2015 | 382 | |
| 16 | 2014 | 250 | |
| 17 | 2014 | 217 | |
| 18 | 2014 | 41 | |
| 19 | 2012 | 14 | |
| 20 | 2003 | 1 |
About Jinmiao Chen
Jinmiao Chen is a scholar working on Immunology, Biophysics, Neurology, Molecular Biology and Cancer Research, having authored 72 papers that have together received 8.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (18 papers), Immune cells in cancer (13 papers), Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers), Cell Image Analysis Techniques (7 papers), Immunotherapy and Immune Responses (6 papers), Machine Learning in Bioinformatics (5 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Immunology (4.1k citations), Neurology (1.6k citations), Biological Psychiatry (191 citations), Developmental Neuroscience (271 citations) and Biophysics (352 citations). Jinmiao Chen has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Florent Ginhoux, Michael Poidinger, Josephine Lum, Evan W. Newell, Kok Siong Ang, Francesca Zolezzi, Anis Larbi, Xiaomeng Zhang, Marion Chevrier and Hoa Thi Tran. Their work appears in journals such as Immunity, Frontiers in Immunology, Nature Communications, Bioinformatics and Nature Immunology.
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.