Wherly P. Hoffman
- Physiology top 10%
- Molecular Biology
- Cancer Research
- Neurology top 10%
- Pharmacology top 10%
- Co-authors
- Michael L. GarriottDaniel NessLevin VaPatrick C. MaySteven M. PaulMargaret M. RackeDeena L. HepburnBruce D. Gitter
- Topics
- Effects and risks of endocrine disrupting chemicals (7 papers)Carcinogens and Genotoxicity Assessment (7 papers)Statistical Methods in Clinical Trials (4 papers)
- Journals
- Journal of NeuroscienceJournal of Pharmacology and Experimental TherapeuticsThe Annals of Statistics
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Wherly P. Hoffman
33 papers receiving 769 citations
Peers
Comparison fields: 5 of 119
- Physiology 293
- Molecular Biology 206
- Cancer Research 157
- Neurology 116
- Pharmacology 111
Countries citing papers authored by Wherly P. Hoffman
This map shows the geographic impact of Wherly P. Hoffman'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 Wherly P. Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wherly P. Hoffman more than expected).
Fields of papers citing papers by Wherly P. Hoffman
This network shows the impact of papers produced by Wherly P. Hoffman. 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 Wherly P. Hoffman. The network helps show where Wherly P. Hoffman may publish in the future.
Co-authorship network of co-authors of Wherly P. Hoffman
This figure shows the co-authorship network connecting the top 25 collaborators of Wherly P. Hoffman. A scholar is included among the top collaborators of Wherly P. Hoffman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wherly P. Hoffman. Wherly P. Hoffman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 18 | |
| 3 | 9 | |
| 4 | 14 | |
| 5 | Duration of clinical effects and absence of referred hyperalgesia after femoral vein cannulation in rats. | 3 |
| 6 | 11 | |
| 7 | 261 | |
| 8 | Duration of effects on clinical parameters and referred hyperalgesia in rats after abdominal surgery and multiple doses of analgesic. | 22 |
| 9 | 8 | |
| 10 | 65 | |
| 11 | 72 | |
| 12 | 19 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 11 | |
| 19 | 14 | |
| 20 | 4 |
About Wherly P. Hoffman
Wherly P. Hoffman is a scholar working on Small Animals, Statistics and Probability and Health, Toxicology and Mutagenesis, having authored 33 papers that have together received 819 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (7 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Neurology (116 citations) and Physiology (293 citations). Wherly P. Hoffman has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Michael L. Garriott, Daniel Ness, Levin Va, Patrick C. May, Steven M. Paul, Margaret M. Racke, Deena L. Hepburn, Bruce D. Gitter, William H. Jordan and Laura Boone. Their work appears in journals such as Journal of Neuroscience, Journal of Pharmacology and Experimental Therapeutics and The Annals of Statistics.
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.