Dapeng Yan
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
- Immunology 19
- interferon and immune responses 9
- Immune Response and Inflammation 9
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
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- RNA regulation and disease 3
- Co-authors
- Baoxue Ge (9 shared papers)Zhihua Huang (1 shared paper)Xuetao Cao (2 shared papers)Yihua Zhang (9 shared papers)Lijun Luo (1 shared paper)Júlia Farache (1 shared paper)Diane Mathis (1 shared paper)Michaël Mingueneau (1 shared paper)
- Journals
- Nature Communications (3 papers)Cell Reports (3 papers)Cellular Signalling (3 papers)Proceedings of the National Academy of Sciences (2 papers)Cellular and Molecular Immunology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dapeng Yan
26 papers receiving 706 citations
Peers
Comparison fields: 5 of 93
- Immunology 344
- Endocrinology 51
- Infectious Diseases 94
- Cancer Research 65
- Virology 19
Countries citing papers authored by Dapeng Yan
This map shows the geographic impact of Dapeng Yan'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 Dapeng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dapeng Yan more than expected).
Fields of papers citing papers by Dapeng Yan
This network shows the impact of papers produced by Dapeng Yan. 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 Dapeng Yan. The network helps show where Dapeng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dapeng Yan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 73 | |
| 2 | 2012 | 60 | |
| 3 | 2008 | 59 | |
| 4 | 2023 | 58 | |
| 5 | 2021 | 53 | |
| 6 | 2015 | 52 | |
| 7 | 2021 | 46 | |
| 8 | 2017 | 45 | |
| 9 | 2020 | 45 | |
| 10 | 2013 | 27 | |
| 11 | 2016 | 27 | |
| 12 | 2017 | 24 | |
| 13 | 2019 | 21 | |
| 14 | 2022 | 19 | |
| 15 | 2017 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2023 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2010 | 9 |
About Dapeng Yan
Dapeng Yan is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Endocrinology and Cancer Research, having authored 26 papers that have together received 710 indexed citations. Recurring topics across this work include interferon and immune responses (9 papers), Immune Response and Inflammation (9 papers), Immune Cell Function and Interaction (5 papers), NF-κB Signaling Pathways (5 papers), Escherichia coli research studies (5 papers), Immunotherapy and Immune Responses (3 papers), RNA regulation and disease (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (344 citations), Endocrinology (51 citations), Infectious Diseases (94 citations), Cancer Research (65 citations) and Virology (19 citations). Dapeng Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Baoxue Ge, Zhihua Huang, Xuetao Cao, Yihua Zhang, Lijun Luo, Júlia Farache, Diane Mathis, Michaël Mingueneau, Christophe Benoıst and Feng Liu. Their work appears in journals such as Nature Communications, Cell Reports, Cellular Signalling, Proceedings of the National Academy of Sciences and Cellular and Molecular 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.