Steven Do
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
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- Synthesis and biological activity 5
- Quinazolinone synthesis and applications 3
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- PI3K/AKT/mTOR signaling in cancer 7
- Protein Kinase Regulation and GTPase Signaling 6
- Phytochemical compounds biological activities 3
- Biochemical and Molecular Research 2
- Co-authors
- Jon Burrows (1 shared paper)John Y. Ramphal (1 shared paper)James G. Christensen (1 shared paper)Randall Schreck (1 shared paper)Lany Ruslim (1 shared paper)Jingrong Jean Cui (1 shared paper)Phuong T. Le (1 shared paper)Kenneth E. Lipson (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (8 papers)Bioorganic & Medicinal Chemistry Letters (7 papers)ACS Medicinal Chemistry Letters (2 papers)Science Signaling (1 paper)Steroids (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Steven Do
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Hepatology 251
- Genetics 132
- Pathology and Forensic Medicine 184
- Molecular Biology 712
- Oncology 234
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | 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 | 450 |
| 2 | 2013 | 168 | |
| 3 | 2012 | 164 | |
| 4 | 2016 | 97 | |
| 5 | 2011 | 64 | |
| 6 | 2018 | 36 | |
| 7 | 2011 | 34 | |
| 8 | 2019 | 32 | |
| 9 | 2017 | 26 | |
| 10 | 2020 | 26 | |
| 11 | 2015 | 25 | |
| 12 | 2019 | 20 | |
| 13 | 2015 | 13 | |
| 14 | 2012 | 12 | |
| 15 | 2001 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2008 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2010 | 3 |
About Steven Do
Steven Do is a scholar working on Organic Chemistry, Molecular Biology, Pathology and Forensic Medicine, Sensory Systems and Genetics, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Synthesis and biological activity (5 papers), Cancer Mechanisms and Therapy (4 papers), Quinazolinone synthesis and applications (3 papers), Phytochemical compounds biological activities (3 papers), Biochemical and Molecular Research (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Hepatology (251 citations), Genetics (132 citations), Pathology and Forensic Medicine (184 citations), Molecular Biology (712 citations) and Oncology (234 citations). Steven Do has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jon Burrows, John Y. Ramphal, James G. Christensen, Randall Schreck, Lany Ruslim, Jingrong Jean Cui, Phuong T. Le, Kenneth E. Lipson, Xueyan Wang and Dirk B. Mendel. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, Science Signaling and Steroids.
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.