Seymour Kaufman
- Molecular Biology top 1%
- Clinical Biochemistry top 0.01%
- Physiology top 0.5%
- Cell Biology top 0.2%
- Biochemistry top 0.05%
- Co-authors
- Sheldon MilstienStanley FriedmanDaniel B. FisherBruce LevenbergPaul A. FriedmanEphraim Y. LevinHerman H. VandenburghMichael D. Davis
- Topics
- Metabolism and Genetic Disorders (125 papers)Biochemical effects in animals (45 papers)Muscle metabolism and nutrition (39 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Seymour Kaufman
251 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 6.0k
- Clinical Biochemistry 4.7k
- Physiology 3.5k
- Cell Biology 2.4k
- Biochemistry 2.1k
Countries citing papers authored by Seymour Kaufman
This map shows the geographic impact of Seymour Kaufman'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 Seymour Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seymour Kaufman more than expected).
Fields of papers citing papers by Seymour Kaufman
This network shows the impact of papers produced by Seymour Kaufman. 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 Seymour Kaufman. The network helps show where Seymour Kaufman may publish in the future.
Co-authorship network of co-authors of Seymour Kaufman
This figure shows the co-authorship network connecting the top 25 collaborators of Seymour Kaufman. A scholar is included among the top collaborators of Seymour Kaufman 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 Seymour Kaufman. Seymour Kaufman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 26 | |
| 3 | 30 | |
| 4 | 15 | |
| 5 | 42 | |
| 6 | 53 | |
| 7 | 4 | |
| 8 | HCV genotype distribution among HIV co-infected individuals in Argentina: relationship with host and viral factors. | 16 |
| 9 | 22 | |
| 10 | 19 | |
| 11 | 11 | |
| 12 | 33 | |
| 13 | 5 | |
| 14 | 39 | |
| 15 | 28 | |
| 16 | 10 | |
| 17 | 17 | |
| 18 | Dihydropteridine reductase deficiency variant of phenylketonuria: a disorder of neurotransmitters. | 7 |
| 19 | 110 | |
| 20 | 37 |
About Seymour Kaufman
Seymour Kaufman is a scholar working on Clinical Biochemistry, Biochemistry and Cell Biology, having authored 252 papers that have together received 12.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (125 papers), Biochemical effects in animals (45 papers) and Muscle metabolism and nutrition (39 papers). The work is most often cited by research in Clinical Biochemistry (4.7k citations), Biochemistry (2.1k citations) and Cell Biology (2.4k citations). Seymour Kaufman has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Sheldon Milstien, Stanley Friedman, Daniel B. Fisher, Bruce Levenberg, Paul A. Friedman, Ephraim Y. Levin, Herman H. Vandenburgh, Michael D. Davis, Ross Shiman and Miki Akino. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.