Da‐Qing Yang
Impact in
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
- Molecular Biology top 10%
- DNA Repair Mechanisms
- PI3K/AKT/mTOR signaling in cancer
- Mitochondrial Function and Pathology
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
- Oncology 10
- Cancer-related Molecular Pathways 10
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- DNA Repair Mechanisms 7
- PI3K/AKT/mTOR signaling in cancer 4
- RNA modifications and cancer 4
- RNA Research and Splicing 4
- Ubiquitin and proteasome pathways 4
- Co-authors
- Michael B. Kastan (1 shared paper)John C. Lawrence (2 shared papers)Jinghua He (2 shared papers)Isabelle Mothe‐Satney (1 shared paper)Timothy Haystead (1 shared paper)Patrick Fadden (1 shared paper)Margot P. Cleary (7 shared papers)Thomas E. Roche (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Molecular and Cellular Biology (3 papers)FEBS Letters (2 papers)Journal of Biological Chemistry (2 papers)The FASEB Journal (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Da‐Qing Yang
24 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Cancer Research 182
- Molecular Biology 828
- Oncology 237
- Biochemistry 68
- Cell Biology 108
Countries citing papers authored by Da‐Qing Yang
This map shows the geographic impact of Da‐Qing 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 Da‐Qing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da‐Qing Yang more than expected).
Fields of papers citing papers by Da‐Qing Yang
This network shows the impact of papers produced by Da‐Qing 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 Da‐Qing Yang. The network helps show where Da‐Qing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Da‐Qing 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 241 | |
| 2 | 2000 | 166 | |
| 3 | 2008 | 101 | |
| 4 | 2011 | 75 | |
| 5 | 2006 | 44 | |
| 6 | 1999 | 44 | |
| 7 | 1998 | 36 | |
| 8 | 2015 | 35 | |
| 9 | 1997 | 31 | |
| 10 | 2013 | 30 | |
| 11 | 2019 | 29 | |
| 12 | 2015 | 25 | |
| 13 | 2017 | 24 | |
| 14 | 2017 | 20 | |
| 15 | 2016 | 18 | |
| 16 | 2012 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2011 | 17 | |
| 19 | 2007 | 17 | |
| 20 | 2018 | 17 |
About Da‐Qing Yang
Da‐Qing Yang is a scholar working on Oncology, Molecular Biology, Cancer Research, Biochemistry and Clinical Biochemistry, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), DNA Repair Mechanisms (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Ubiquitin and proteasome pathways (4 papers), Microtubule and mitosis dynamics (2 papers) and Biochemical Acid Research Studies (2 papers). The work is most often cited by research in Cancer Research (182 citations), Molecular Biology (828 citations), Oncology (237 citations), Biochemistry (68 citations) and Cell Biology (108 citations). Da‐Qing Yang has collaborated with scholars based in United States, China and India. Frequent co-authors include Michael B. Kastan, John C. Lawrence, Jinghua He, Isabelle Mothe‐Satney, Timothy Haystead, Patrick Fadden, Margot P. Cleary, Thomas E. Roche, Yan Li and Paul Burn. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular and Cellular Biology, FEBS Letters, Journal of Biological Chemistry 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.