Da-Qiang Li
Impact in
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- Peptidase Inhibition and Analysis
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- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
Papers in
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- Histone Deacetylase Inhibitors Research 7
- Ubiquitin and proteasome pathways 6
- Protein Degradation and Inhibitors 5
- Epigenetics and DNA Methylation 3
- Glycosylation and Glycoproteins Research 2
- Oncology 8
- Peptidase Inhibition and Analysis 4
- Cancer-related Molecular Pathways 2
- Co-authors
- Suresh B. Pakala (3 shared papers)Rakesh Kumar (3 shared papers)Sujit S. Nair (1 shared paper)Jeyanthy Eswaran (1 shared paper)Rakesh Kumar (1 shared paper)Sirigiri Divijendra Natha Reddy (2 shared papers)Kazufumi Ohshiro (2 shared papers)Xiaowu Dong (5 shared papers)
- Journals
- European Journal of Medicinal Chemistry (4 papers)Journal of Medicinal Chemistry (3 papers)Proceedings of the National Academy of Sciences (2 papers)Chemical Communications (1 paper)Cell Cycle (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Da-Qiang Li
17 papers receiving 421 citations
Peers
Comparison fields: 5 of 73
- Oncology 139
- Molecular Biology 334
- Cancer Research 44
- Computational Theory and Mathematics 41
- Pathology and Forensic Medicine 45
Countries citing papers authored by Da-Qiang Li
This map shows the geographic impact of Da-Qiang Li'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-Qiang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da-Qiang Li more than expected).
Fields of papers citing papers by Da-Qiang Li
This network shows the impact of papers produced by Da-Qiang Li. 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-Qiang Li. The network helps show where Da-Qiang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Da-Qiang Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 96 | |
| 2 | 2009 | 72 | |
| 3 | 2010 | 48 | |
| 4 | 2014 | 47 | |
| 5 | 2010 | 37 | |
| 6 | 2015 | 27 | |
| 7 | 2004 | 21 | |
| 8 | 2018 | 16 | |
| 9 | 2014 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2013 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Da-Qiang Li
Da-Qiang Li is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pathology and Forensic Medicine and Materials Chemistry, having authored 19 papers that have together received 425 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (7 papers), Ubiquitin and proteasome pathways (6 papers), Protein Degradation and Inhibitors (5 papers), Peptidase Inhibition and Analysis (4 papers), Epigenetics and DNA Methylation (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related Molecular Pathways (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Oncology (139 citations), Molecular Biology (334 citations), Cancer Research (44 citations), Computational Theory and Mathematics (41 citations) and Pathology and Forensic Medicine (45 citations). Da-Qiang Li has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Suresh B. Pakala, Rakesh Kumar, Sujit S. Nair, Jeyanthy Eswaran, Rakesh Kumar, Sirigiri Divijendra Natha Reddy, Kazufumi Ohshiro, Rakesh Kumar, Xiaowu Dong and Yongzhou Hu. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences, Chemical Communications and Cell Cycle.
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.