Michael D. Kaufman
- Pathology and Forensic Medicine top 1%
- Oncology top 5%
- Organic Chemistry top 5%
- Molecular Biology
- Immunology top 5%
- Co-authors
- Paul A. GriecoJoseph NortonAmos B. SmithHirokazu ArimotoMatthew J. LaMarcheThomas J. BeauchampJohn RoseJacob Elkins
- Topics
- Multiple Sclerosis Research Studies (22 papers)Polyomavirus and related diseases (6 papers)Asymmetric Synthesis and Catalysis (6 papers)
- Journals
- New England Journal of MedicineJournal of the American Chemical SocietyJournal of Clinical Oncology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael D. Kaufman
82 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 131
- Pathology and Forensic Medicine 1.0k
- Oncology 704
- Organic Chemistry 669
- Molecular Biology 653
- Immunology 431
Countries citing papers authored by Michael D. Kaufman
This map shows the geographic impact of Michael D. 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 Michael D. Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Kaufman more than expected).
Fields of papers citing papers by Michael D. Kaufman
This network shows the impact of papers produced by Michael D. 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 Michael D. Kaufman. The network helps show where Michael D. Kaufman may publish in the future.
Co-authorship network of co-authors of Michael D. Kaufman
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Kaufman. A scholar is included among the top collaborators of Michael D. 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 Michael D. Kaufman. Michael D. 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 | 40 | |
| 3 | 16 | |
| 4 | 105 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 199 | |
| 8 | 2 | |
| 9 | 144 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 26 | |
| 13 | 15 | |
| 14 | 49 | |
| 15 | 222 | |
| 16 | 46 | |
| 17 | Synthesis and SAR development of PD 0325901, a potent and highly bioavailable MEK inhibitor. | 1 |
| 18 | 56 | |
| 19 | 45 | |
| 20 | 5 |
About Michael D. Kaufman
Michael D. Kaufman is a scholar working on Pathology and Forensic Medicine, Oncology and Hepatology, having authored 85 papers that have together received 2.8k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (22 papers), Polyomavirus and related diseases (6 papers) and Asymmetric Synthesis and Catalysis (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Oncology (704 citations) and Organic Chemistry (669 citations). Michael D. Kaufman has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Paul A. Grieco, Joseph Norton, Amos B. Smith, Hirokazu Arimoto, Matthew J. LaMarche, Thomas J. Beauchamp, John Rose, Jacob Elkins, Gilmore O’Neill and Susan K. Johnson. Their work appears in journals such as New England Journal of Medicine, Journal of the American Chemical Society and Journal of Clinical Oncology.
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.