John R. MacDonald
- Developmental Neuroscience top 5%
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection 9
- Pharmacogenetics and Drug Metabolism 7
- Oncology top 5%
- Cancer Treatment and Pharmacology 16
- Drug Transport and Resistance Mechanisms 7
- Molecular Biology top 10%
- Cancer therapeutics and mechanisms 13
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- Advanced Fiber Laser Technologies 12
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- Solid State Laser Technologies 11
- Photonic and Optical Devices 9
- Co-authors
- A. K. KarQin-Wei YinDavid PrevetteFrank M. CollinsRonald W. OppenheimDebaditya ChoudhuryJan M. WoynarowskiStephen J. Beecher
- Journals
- Science (1 paper)Journal of Clinical Oncology (8 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
John R. MacDonald
88 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 137
- Developmental Neuroscience 153
- Pharmacology 180
- Oncology 460
- Cellular and Molecular Neuroscience 266
- Molecular Biology 838
Countries citing papers authored by John R. MacDonald
This map shows the geographic impact of John R. MacDonald'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 John R. MacDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. MacDonald more than expected).
Fields of papers citing papers by John R. MacDonald
This network shows the impact of papers produced by John R. MacDonald. 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 John R. MacDonald. The network helps show where John R. MacDonald may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John R. MacDonald, 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 | 2013 | 42 | |
| 2 | 2011 | 32 | |
| 3 | 2010 | 53 | |
| 4 | 2008 | 42 | |
| 5 | 2006 | 13 | |
| 6 | 2005 | 27 | |
| 7 | 2004 | 42 | |
| 8 | 2004 | 28 | |
| 9 | The law of freedom of information | 2003 | 21 |
| 10 | 2003 | 12 | |
| 11 | 2001 | 18 | |
| 12 | 2001 | 16 | |
| 13 | 2001 | 74 | |
| 14 | 2000 | 25 | |
| 15 | 1999 | 20 | |
| 16 | 1999 | 47 | |
| 17 | 1997 | 90 | |
| 18 | 1996 | 5 | |
| 19 | 1993 | 3 | |
| 20 | 1993 | 41 |
About John R. MacDonald
John R. MacDonald is a scholar working on Pharmacology, Oncology and Toxicology, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (16 papers), Cancer therapeutics and mechanisms (13 papers), Advanced Fiber Laser Technologies (12 papers), Solid State Laser Technologies (11 papers), Drug-Induced Hepatotoxicity and Protection (9 papers), Photonic and Optical Devices (9 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Developmental Neuroscience (153 citations), Pharmacology (180 citations) and Oncology (460 citations). John R. MacDonald has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include A. K. Kar, Qin-Wei Yin, David Prevette, Frank M. Collins, Ronald W. Oppenheim, Debaditya Choudhury, Jan M. Woynarowski, Stephen J. Beecher, Stephen J. Waters and Daniel D. Von Hoff. Their work appears in journals such as Science, Journal of Clinical Oncology and The Journal of Cell Biology.
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.