Dajun Yang
Impact in
- Oncology top 1%
- Cancer-related Molecular Pathways
- Toxicology top 1%
Papers in
-
- Cell death mechanisms and regulation 27
- Ubiquitin and proteasome pathways 17
- Chemical Synthesis and Analysis 14
- Protein Kinase Regulation and GTPase Signaling 13
- Oncology 71
- Cancer-related Molecular Pathways 25
- Co-authors
- Shaomeng Wang (28 shared papers)Miao‐Zhen Qiu (39 shared papers)Ribo Guo (14 shared papers)Manchao Zhang (21 shared papers)Peter P. Roller (10 shared papers)Rui‐Hua Xu (16 shared papers)Zaneta Nikolovska‐Coleska (6 shared papers)Yifan Zhai (64 shared papers)
- Journals
- Cancer Research (25 papers)Blood (21 papers)Journal of Clinical Oncology (15 papers)Journal of Medicinal Chemistry (13 papers)Bioorganic & Medicinal Chemistry Letters (7 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Dajun Yang
191 papers receiving 6.0k citations
Dajun Yang's Hit Papers
Peers
Comparison fields: 5 of 123
- Oncology 1.8k
- Toxicology 182
- Cancer Research 709
- Molecular Biology 3.4k
- Organic Chemistry 800
Countries citing papers authored by Dajun Yang
This map shows the geographic impact of Dajun 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 Dajun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dajun Yang more than expected).
Fields of papers citing papers by Dajun Yang
This network shows the impact of papers produced by Dajun 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 Dajun Yang. The network helps show where Dajun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dajun 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 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PKCβII phosphorylates ACSL4 to amplify lipid peroxidation to induce ferroptosis Hit paper breakdown → | 2022 | 437 |
| 2 | 2004 | 298 | |
| 3 | 2001 | 271 | |
| 4 | 2006 | 250 | |
| 5 | 2011 | 226 | |
| 6 | 2017 | 173 | |
| 7 | 2015 | 169 | |
| 8 | 2019 | 166 | |
| 9 | 2003 | 164 | |
| 10 | 1999 | 158 | |
| 11 | 2009 | 156 | |
| 12 | 2019 | 125 | |
| 13 | 2008 | 124 | |
| 14 | 2005 | 100 | |
| 15 | 2001 | 96 | |
| 16 | 1996 | 95 | |
| 17 | Programmed cell death ligand 1 (PD-L1) expression on gastric cancer and its relationship with clinicopathologic factors. | 2015 | 88 |
| 18 | 2018 | 86 | |
| 19 | 2008 | 72 | |
| 20 | 2004 | 68 |
About Dajun Yang
Dajun Yang is a scholar working on Molecular Biology, Oncology, Hematology, Pulmonary and Respiratory Medicine and Genetics, having authored 201 papers that have together received 6.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (27 papers), Cancer-related Molecular Pathways (25 papers), Chronic Lymphocytic Leukemia Research (21 papers), Ubiquitin and proteasome pathways (17 papers), Chronic Myeloid Leukemia Treatments (16 papers), Chemical Synthesis and Analysis (14 papers), Protein Kinase Regulation and GTPase Signaling (13 papers) and Cancer Mechanisms and Therapy (13 papers). The work is most often cited by research in Oncology (1.8k citations), Toxicology (182 citations), Cancer Research (709 citations), Molecular Biology (3.4k citations) and Organic Chemistry (800 citations). Dajun Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shaomeng Wang, Miao‐Zhen Qiu, Ribo Guo, Manchao Zhang, Peter P. Roller, Rui‐Hua Xu, Zaneta Nikolovska‐Coleska, Yifan Zhai, York Tomita and Terrence R. Burke. Their work appears in journals such as Cancer Research, Blood, Journal of Clinical Oncology, Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.
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.