Daohong Chen
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Biochemistry top 10%
Papers in
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- Acupuncture Treatment Research Studies 3
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- T-cell and B-cell Immunology 4
- Co-authors
- Yuguang Shi (3 shared papers)Richard S. Blumberg (5 shared papers)Takashi Nagaishi (4 shared papers)Chirayu Pankaj Goswami (2 shared papers)Harikrishna Nakshatri (2 shared papers)Poornima Bhat‐Nakshatri (2 shared papers)Min Li (3 shared papers)Xiao‐Ming Yin (3 shared papers)
- Journals
- American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)PLoS ONE (2 papers)The Journal of Immunology (2 papers)International Journal of COPD (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daohong Chen
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Immunology 109
- Biochemistry 21
- Immunology and Allergy 23
- Molecular Biology 245
- Oncology 86
Countries citing papers authored by Daohong Chen
This map shows the geographic impact of Daohong 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 Daohong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daohong Chen more than expected).
Fields of papers citing papers by Daohong Chen
This network shows the impact of papers produced by Daohong 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 Daohong Chen. The network helps show where Daohong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Daohong 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 176 | |
| 2 | 2013 | 160 | |
| 3 | 2004 | 147 | |
| 4 | 2013 | 106 | |
| 5 | 2004 | 101 | |
| 6 | 2006 | 86 | |
| 7 | 2004 | 80 | |
| 8 | 2014 | 47 | |
| 9 | 2006 | 41 | |
| 10 | 2012 | 38 | |
| 11 | 2003 | 27 | |
| 12 | 2015 | 27 | |
| 13 | 1999 | 24 | |
| 14 | 2013 | 24 | |
| 15 | 2021 | 24 | |
| 16 | 2009 | 23 | |
| 17 | 2005 | 21 | |
| 18 | 2023 | 21 | |
| 19 | 2022 | 19 | |
| 20 | 2020 | 17 |
About Daohong Chen
Daohong Chen is a scholar working on Complementary and alternative medicine, Immunology, Biochemistry, Oncology and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Autophagy in Disease and Therapy (3 papers), Acupuncture Treatment Research Studies (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers), Lipid metabolism and biosynthesis (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Immunology (109 citations), Biochemistry (21 citations), Immunology and Allergy (23 citations), Molecular Biology (245 citations) and Oncology (86 citations). Daohong Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yuguang Shi, Richard S. Blumberg, Takashi Nagaishi, Chirayu Pankaj Goswami, Harikrishna Nakshatri, Poornima Bhat‐Nakshatri, Min Li, Xiao‐Ming Yin, Hideki Iijima and Atsushi Nakajima. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, PLoS ONE, The Journal of Immunology, International Journal of COPD and Cancer Research.
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.