Dafeng Yang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Immunology 23
- Immune cells in cancer 9
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 7
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- Cancer-related molecular mechanisms research 7
- NF-κB Signaling Pathways 6
- Co-authors
- Kebin Liu (43 shared papers)Weidong Wang (5 shared papers)John David Klement (20 shared papers)Yutong Xue (4 shared papers)Chunwan Lu (16 shared papers)Priscilla S. Redd (13 shared papers)Sharleen Zhou (3 shared papers)Salvatore Sechi (3 shared papers)
- Journals
- Cancer Research (7 papers)The Journal of Immunology (6 papers)Journal for ImmunoTherapy of Cancer (4 papers)The FASEB Journal (3 papers)BMC Cancer (3 papers)
- Partner nations
- United StatesChinaGeorgia
In The Last Decade
Dafeng Yang
81 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 809
- Immunology 1.2k
- Molecular Biology 2.4k
- Oncology 826
- Pathology and Forensic Medicine 299
Countries citing papers authored by Dafeng Yang
This map shows the geographic impact of Dafeng Yang'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 Dafeng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dafeng Yang more than expected).
Fields of papers citing papers by Dafeng Yang
This network shows the impact of papers produced by Dafeng Yang. 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 Dafeng Yang. The network helps show where Dafeng Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dafeng Yang, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 309 | |
| 2 | 2003 | 288 | |
| 3 | 2018 | 271 | |
| 4 | 2000 | 258 | |
| 5 | 1998 | 247 | |
| 6 | 2000 | 234 | |
| 7 | 2012 | 128 | |
| 8 | 2020 | 125 | |
| 9 | 2020 | 111 | |
| 10 | 2021 | 111 | |
| 11 | 2015 | 98 | |
| 12 | 2023 | 93 | |
| 13 | 2018 | 81 | |
| 14 | 2007 | 80 | |
| 15 | 2003 | 76 | |
| 16 | 2012 | 76 | |
| 17 | 2021 | 71 | |
| 18 | 2020 | 69 | |
| 19 | 2017 | 68 | |
| 20 | 2017 | 64 |
About Dafeng Yang
Dafeng Yang is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 83 papers that have together received 4.5k indexed citations. Recurring topics across this work include Immune cells in cancer (9 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (7 papers), Cancer-related molecular mechanisms research (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), NF-κB Signaling Pathways (6 papers), Epigenetics and DNA Methylation (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (809 citations), Immunology (1.2k citations), Molecular Biology (2.4k citations), Oncology (826 citations) and Pathology and Forensic Medicine (299 citations). Dafeng Yang has collaborated with scholars based in United States, China and Georgia. Frequent co-authors include Kebin Liu, Weidong Wang, John David Klement, Yutong Xue, Chunwan Lu, Priscilla S. Redd, Sharleen Zhou, Salvatore Sechi, Amy V. Paschall and Zuqin Nie. Their work appears in journals such as Cancer Research, The Journal of Immunology, Journal for ImmunoTherapy of Cancer, The FASEB Journal and BMC Cancer.
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.