Daren Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
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- Retinoids in leukemia and cellular processes 5
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- Protease and Inhibitor Mechanisms 4
- Co-authors
- Kurt R. Stenmark (3 shared papers)Alessandro Rinaldo (9 shared papers)Yi Yu (10 shared papers)Min Li (2 shared papers)Timothy A. McKinsey (2 shared papers)Dao Pan (4 shared papers)Maria G. Frid (2 shared papers)Amanda Flockton (2 shared papers)
- Journals
- Carcinogenesis (2 papers)Circulation (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Prevention Research (2 papers)The Annals of Statistics (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Daren Wang
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 302
- Statistics and Probability 88
- Pulmonary and Respiratory Medicine 334
- Molecular Biology 678
- Hepatology 54
Countries citing papers authored by Daren Wang
This map shows the geographic impact of Daren Wang'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 Daren Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daren Wang more than expected).
Fields of papers citing papers by Daren Wang
This network shows the impact of papers produced by Daren Wang. 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 Daren Wang. The network helps show where Daren Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daren Wang, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 194 | |
| 2 | 2017 | 191 | |
| 3 | 2013 | 174 | |
| 4 | 2014 | 146 | |
| 5 | 2013 | 130 | |
| 6 | 2011 | 71 | |
| 7 | 2009 | 43 | |
| 8 | 2020 | 41 | |
| 9 | 2004 | 29 | |
| 10 | 2003 | 28 | |
| 11 | 2021 | 25 | |
| 12 | 2011 | 21 | |
| 13 | 2020 | 19 | |
| 14 | 2017 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2016 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2023 | 13 | |
| 19 | 2007 | 13 | |
| 20 | 2023 | 12 |
About Daren Wang
Daren Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Statistics and Probability and Surgery, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Retinoids in leukemia and cellular processes (5 papers), Liver physiology and pathology (4 papers), Protease and Inhibitor Mechanisms (4 papers), Cancer-related Molecular Pathways (3 papers), Peptidase Inhibition and Analysis (3 papers), Advanced Causal Inference Techniques (3 papers) and Advanced Statistical Process Monitoring (2 papers). The work is most often cited by research in Cancer Research (302 citations), Statistics and Probability (88 citations), Pulmonary and Respiratory Medicine (334 citations), Molecular Biology (678 citations) and Hepatology (54 citations). Daren Wang has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Kurt R. Stenmark, Alessandro Rinaldo, Yi Yu, Min Li, Timothy A. McKinsey, Dao Pan, Maria G. Frid, Amanda Flockton, Nicholas W. Morrell and B.A. McKeon. Their work appears in journals such as Carcinogenesis, Circulation, Proceedings of the National Academy of Sciences, Cancer Prevention Research and The Annals of Statistics.
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.