Leonard Favreau
- Molecular Biology top 10%
- Pharmacology top 0.5%
- Surgery top 10%
- Cell Biology top 5%
- Hematology top 5%
- Co-authors
- C.B. PickettRobert RosenbergJohn B. SchenkmanM.H. SmithJack N. LindonEdwin W. SalzmanCecil B. PickettJohn J. Castellot
- Topics
- Pharmacogenetics and Drug Metabolism (13 papers)Genomics, phytochemicals, and oxidative stress (5 papers)Computational Drug Discovery Methods (5 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Leonard Favreau
43 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.2k
- Pharmacology 552
- Surgery 414
- Cell Biology 405
- Hematology 325
Countries citing papers authored by Leonard Favreau
This map shows the geographic impact of Leonard Favreau'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 Leonard Favreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard Favreau more than expected).
Fields of papers citing papers by Leonard Favreau
This network shows the impact of papers produced by Leonard Favreau. 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 Leonard Favreau. The network helps show where Leonard Favreau may publish in the future.
Co-authorship network of co-authors of Leonard Favreau
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Favreau. A scholar is included among the top collaborators of Leonard Favreau 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 Leonard Favreau. Leonard Favreau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 37 | |
| 5 | 49 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 21 | |
| 10 | 35 | |
| 11 | 140 | |
| 12 | 12 | |
| 13 | 51 | |
| 14 | 48 | |
| 15 | 24 | |
| 16 | 18 | |
| 17 | 9 | |
| 18 | 58 | |
| 19 | 47 | |
| 20 | A New Simple Semimicro Method for Colorimetric Determination of Ureabreakdown → | 482 |
About Leonard Favreau
Leonard Favreau is a scholar working on Pharmacology, Toxicology and Clinical Biochemistry, having authored 43 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Internal Medicine (269 citations), Pharmacology (552 citations) and Toxicology (105 citations). Leonard Favreau has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include C.B. Pickett, Robert Rosenberg, John B. Schenkman, M.H. Smith, Jack N. Lindon, Edwin W. Salzman, Cecil B. Pickett, John J. Castellot, Morris J. Karnovsky and Robert E. Jordan. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.