Steven Do
Impact in
- Hepatology top 5%
- Liver physiology and pathology
-
- Cancer Mechanisms and Therapy
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Phytochemical compounds biological activities 2
- PI3K/AKT/mTOR signaling in cancer 2
-
- Synthesis and biological activity 4
- Quinazolinone synthesis and applications 1
- Co-authors
- Robert A. Blake (1 shared paper)Xueyan Wang (1 shared paper)Julie M. Cherrington (1 shared paper)Lany Ruslim (1 shared paper)Jon Burrows (1 shared paper)James G. Christensen (1 shared paper)Jeffrey Chen (1 shared paper)John Ramphal (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)Cureus (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Steven Do
10 papers receiving 478 citations
Peers
Comparison fields: 5 of 58
- Hepatology 240
- Pathology and Forensic Medicine 104
- Oncology 154
- Molecular Biology 293
- Pulmonary and Respiratory Medicine 86
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 | 421 |
| 2 | 2015 | 19 | |
| 3 | 2017 | 19 | |
| 4 | 2015 | 8 | |
| 5 | 2001 | 8 | |
| 6 | 2021 | 7 | |
| 7 | 2008 | 6 | |
| 8 | 2012 | 5 | |
| 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 499 indexed citations. Recurring topics across this work include Synthesis and biological activity (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cancer Mechanisms and Therapy (3 papers), Phytochemical compounds biological activities (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Postharvest Quality and Shelf Life Management (1 paper), Metabolism and Genetic Disorders (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Hepatology (240 citations), Pathology and Forensic Medicine (104 citations), Oncology (154 citations), Molecular Biology (293 citations) and Pulmonary and Respiratory Medicine (86 citations). Steven Do has collaborated with scholars based in United States and China. Frequent co-authors include Robert A. Blake, Xueyan Wang, Julie M. Cherrington, Lany Ruslim, Jon Burrows, James G. Christensen, Jeffrey Chen, John Ramphal, Dirk B. Mendel and Jingrong Jean Cui. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Steroids and Cureus.
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.