Steven Do
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- Phytochemical compounds biological activities 2
- PI3K/AKT/mTOR signaling in cancer 2
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- Synthesis and biological activity 4
- Cyclopropane Reaction Mechanisms 1
- Synthesis and Reactivity of Heterocycles 1
- Co-authors
- Julie M. Cherrington (1 shared paper)Kenneth E. Lipson (1 shared paper)John Ramphal (1 shared paper)Xueyan Wang (1 shared paper)Phuong Le (1 shared paper)Randall Schreck (1 shared paper)Lany Ruslim (1 shared paper)Jingrong Jean Cui (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Journal of Medicinal Chemistry (1 paper)ACS Medicinal Chemistry Letters (1 paper)Steroids (1 paper)PubMed (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Steven Do
10 papers receiving 499 citations
Peers
Comparison fields: 5 of 59
- Hepatology 240
- Pathology and Forensic Medicine 98
- Oncology 135
- Molecular Biology 269
- Pulmonary and Respiratory Medicine 73
Countries citing papers authored by Steven Do
This map shows the geographic impact of Steven Do'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 Steven Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Do more than expected).
Fields of papers citing papers by Steven Do
This network shows the impact of papers produced by Steven Do. 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 Steven Do. The network helps show where Steven Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Do, 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 | A selective small molecule inhibitor of c-Met kinase inhibits c-Met-dependent phenotypes in vitro and exhibits cytoreductive antitumor activity in vivo. | 2003 | 436 |
| 2 | 2017 | 22 | |
| 3 | 2015 | 21 | |
| 4 | 2001 | 9 | |
| 5 | 2012 | 8 | |
| 6 | 2015 | 8 | |
| 7 | 2021 | 7 | |
| 8 | 2008 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2010 | 2 |
About Steven Do
Steven Do is a scholar working on Molecular Biology, Organic Chemistry, Pathology and Forensic Medicine, Pharmaceutical Science and Toxicology, having authored 10 papers that have together received 523 indexed citations. Recurring topics across this work include Synthesis and biological activity (4 papers), Cancer Mechanisms and Therapy (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Phytochemical compounds biological activities (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cyclopropane Reaction Mechanisms (1 paper), Synthesis and Reactivity of Heterocycles (1 paper) and Postharvest Quality and Shelf Life Management (1 paper). The work is most often cited by research in Hepatology (240 citations), Pathology and Forensic Medicine (98 citations), Oncology (135 citations), Molecular Biology (269 citations) and Pulmonary and Respiratory Medicine (73 citations). Steven Do has collaborated with scholars based in United States and China. Frequent co-authors include Julie M. Cherrington, Kenneth E. Lipson, John Ramphal, Xueyan Wang, Phuong Le, Randall Schreck, Lany Ruslim, Jingrong Jean Cui, Dirk B. Mendel and James G. Christensen. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Steroids and PubMed.
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.