David H. Drewry
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 5%
- Click Chemistry and Applications
Papers in
- Cell Biology 18
- Microtubule and mitosis dynamics 11
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- Computational Drug Discovery Methods 15
- Co-authors
- William J. ZuercherRicardo MacarrónCarrow I. WellsTimothy M. WillsonSteve F. PoonDiane M. CoeAndrew B. McElroyAlison D. Axtman
- Journals
- Journal of Medicinal Chemistry (13 papers)Scientific Reports (5 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)Molecules (4 papers)ACS Medicinal Chemistry Letters (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David H. Drewry
95 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 125
- Computational Theory and Mathematics 392
- Organic Chemistry 612
- Molecular Biology 1.4k
- Cancer Research 308
- Oncology 507
Countries citing papers authored by David H. Drewry
This map shows the geographic impact of David H. Drewry'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 David H. Drewry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Drewry more than expected).
Fields of papers citing papers by David H. Drewry
This network shows the impact of papers produced by David H. Drewry. 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 David H. Drewry. The network helps show where David H. Drewry may publish in the future.
Co-authors
The 25 scholars most cited alongside David H. Drewry, 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 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 40 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 23 | |
| 12 | 2021 | 30 | |
| 13 | 2020 | 78 | |
| 14 | 2019 | 15 | |
| 15 | 2019 | 28 | |
| 16 | 2018 | 28 | |
| 17 | 2018 | 26 | |
| 18 | 2018 | 22 | |
| 19 | 2010 | 112 | |
| 20 | 2006 | 14 |
About David H. Drewry
David H. Drewry is a scholar working on Cell Biology, Computational Theory and Mathematics, Molecular Biology, Organic Chemistry and Oncology, having authored 102 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Cancer-related Molecular Pathways (12 papers), Chemical Synthesis and Analysis (11 papers), Microtubule and mitosis dynamics (11 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Click Chemistry and Applications (8 papers), Quinazolinone synthesis and applications (5 papers) and Melanoma and MAPK Pathways (5 papers). The work is most often cited by research in Computational Theory and Mathematics (392 citations), Organic Chemistry (612 citations), Molecular Biology (1.4k citations), Cancer Research (308 citations) and Oncology (507 citations). David H. Drewry has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include William J. Zuercher, Ricardo Macarrón, Carrow I. Wells, Timothy M. Willson, Steve F. Poon, Diane M. Coe, Andrew B. McElroy, Alison D. Axtman, Millard H. Lambert and Gavin Harper. Their work appears in journals such as Journal of Medicinal Chemistry, Scientific Reports, Bioorganic & Medicinal Chemistry Letters, Molecules and ACS Medicinal Chemistry Letters.
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.