David Beidler
Impact in
- Toxicology top 1%
- Forensic Toxicology and Drug Analysis
- Pharmacology top 1%
- Cannabis and Cannabinoid Research
Papers in
-
- Cancer therapeutics and mechanisms 6
- Insect Resistance and Genetics 2
-
- Cannabis and Cannabinoid Research 7
- Co-authors
- Muneesh Tewari (2 shared papers)Vishva M. Dixit (2 shared papers)Guy G. Poirier (1 shared paper)Paul D. Friesen (1 shared paper)Yung Chi Cheng (2 shared papers)Sarah E. Smith (6 shared papers)Marya Liimatta (4 shared papers)Cory M. Stiff (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Blood (3 papers)Cytokine (2 papers)Journal of Biological Chemistry (2 papers)Gene Therapy (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David Beidler
32 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 100
- Toxicology 153
- Pharmacology 666
- Immunology 327
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 224
Countries citing papers authored by David Beidler
This map shows the geographic impact of David Beidler'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 Beidler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Beidler more than expected).
Fields of papers citing papers by David Beidler
This network shows the impact of papers produced by David Beidler. 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 Beidler. The network helps show where David Beidler may publish in the future.
Co-authors
The 25 scholars most cited alongside David Beidler, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 384 | |
| 2 | 1995 | 336 | |
| 3 | 2011 | 198 | |
| 4 | 1995 | 162 | |
| 5 | 2010 | 160 | |
| 6 | 1991 | 116 | |
| 7 | 2010 | 90 | |
| 8 | 1995 | 90 | |
| 9 | 1999 | 80 | |
| 10 | 2010 | 67 | |
| 11 | 2009 | 60 | |
| 12 | Camptothecin resistance involving steps subsequent to the formation of protein-linked DNA breaks in human camptothecin-resistant KB cell lines. | 1996 | 44 |
| 13 | 2013 | 41 | |
| 14 | Identification of antisense RNA transcripts from a human DNA topoisomerase I pseudogene. | 1992 | 39 |
| 15 | 1997 | 36 | |
| 16 | 1994 | 31 | |
| 17 | 2020 | 31 | |
| 18 | 2011 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 1999 | 26 |
About David Beidler
David Beidler is a scholar working on Molecular Biology, Pharmacology, Oncology, Immunology and Genetics, having authored 32 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (7 papers), Cancer therapeutics and mechanisms (6 papers), Hemoglobinopathies and Related Disorders (4 papers), Pancreatic function and diabetes (3 papers), Polyomavirus and related diseases (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Insect Resistance and Genetics (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Toxicology (153 citations), Pharmacology (666 citations), Immunology (327 citations), Molecular Biology (1.1k citations) and Cellular and Molecular Neuroscience (224 citations). David Beidler has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Muneesh Tewari, Vishva M. Dixit, Guy G. Poirier, Paul D. Friesen, Yung Chi Cheng, Sarah E. Smith, Marya Liimatta, Cory M. Stiff, Kay Ahn and Benjamin F. Cravatt. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Blood, Cytokine, Journal of Biological Chemistry and Gene Therapy.
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.