Dafeng Yang

5.3k citations
75 papers · 4.4k · h-index 38

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Chromatin Remodeling and Cancer
    • DNA Repair Mechanisms
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Cell death mechanisms and regulation

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • MicroRNA in disease regulation 3
    • NF-κB Signaling Pathways 2

Dafeng Yang

73 papers receiving 4.4k citations

Peers

Dafeng Yang
Comparison fields: 5 of 79
  • Immunology 447
  • Molecular Biology 1.2k
  • Cancer Research 234
  • Oncology 343
  • Pulmonary and Respiratory Medicine 215
Replace Philip H. Howe with:
Philip H. Howe United States
Seong‐Jin Kim South Korea
Li Wang China
Yoshikazu Yonemitsu Japan
Yakov Krelin Israel
Neta Ilan Israel
Zhijie Chang China
Daniel J. Gough Australia
Paola Cappello Italy
Zuo‐Hua Feng China
Dafeng Yang relative to Philip H. Howe United States Philip H. Howe's profile →
Citations per field
00.5×1.5×2×2.4×
Philip H. Howe · 1×
Citations per year

Countries citing papers authored by Dafeng Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dafeng Yang Line = papers co-authored together Dafeng Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003310
2 2003285
3 2018280
4 2000257
5 1998245
6 2000234
7 2012128
8 2020125
9 2021114
10 2020112
11 201598
12 202394
13 201881
14 200780
15 201277
16 200376
17 202172
18 202069
19 201768
20 201764

About Dafeng Yang

Dafeng Yang is a scholar working on Oncology, Cancer Research, Molecular Biology, Immunology and Clinical Biochemistry, having authored 75 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Epigenetics and DNA Methylation (5 papers), Cell death mechanisms and regulation (5 papers), Immune cells in cancer (4 papers), Chromatin Remodeling and Cancer (4 papers), MicroRNA in disease regulation (3 papers), Advanced Glycation End Products research (3 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Immunology (447 citations), Molecular Biology (1.2k citations), Cancer Research (234 citations), Oncology (343 citations) and Pulmonary and Respiratory Medicine (215 citations). Dafeng Yang has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Kebin Liu, Weidong Wang, Chunwan Lu, John David Klement, Yutong Xue, Priscilla S. Redd, Sharleen Zhou, Amy V. Paschall, Salvatore Sechi and Zuqin Nie. Their work appears in journals such as Cancer Research, The Journal of Immunology, Journal for ImmunoTherapy of Cancer, BMC Cancer and The FASEB Journal.

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.

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