Marc J. Kaufman
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Bertha K. MadrasPerry F. RenshawL. PinskyAmy C. JanesLuis C. MaasScott E. LukasBlaise deB. FrederickJack H. Mendelson
- Topics
- Hormonal and reproductive studies (26 papers)Advanced MRI Techniques and Applications (26 papers)Neuroscience and Neuropharmacology Research (25 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Marc J. Kaufman
129 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 139
- Cellular and Molecular Neuroscience 1.7k
- Molecular Biology 1.4k
- Cognitive Neuroscience 1.2k
- Radiology, Nuclear Medicine and Imaging 704
- Endocrinology, Diabetes and Metabolism 677
Countries citing papers authored by Marc J. Kaufman
This map shows the geographic impact of Marc J. 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 Marc J. Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc J. Kaufman more than expected).
Fields of papers citing papers by Marc J. Kaufman
This network shows the impact of papers produced by Marc J. 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 Marc J. Kaufman. The network helps show where Marc J. Kaufman may publish in the future.
Co-authorship network of co-authors of Marc J. Kaufman
This figure shows the co-authorship network connecting the top 25 collaborators of Marc J. Kaufman. A scholar is included among the top collaborators of Marc J. 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 Marc J. Kaufman. Marc J. 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 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 14 | |
| 6 | 16 | |
| 7 | 74 | |
| 8 | 23 | |
| 9 | 15 | |
| 10 | 50 | |
| 11 | 145 | |
| 12 | 16 | |
| 13 | 36 | |
| 14 | 354 | |
| 15 | 20 | |
| 16 | 5 | |
| 17 | 47 | |
| 18 | 37 | |
| 19 | 15 | |
| 20 | 61 |
About Marc J. Kaufman
Marc J. Kaufman is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Virology, having authored 133 papers that have together received 4.7k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (26 papers), Advanced MRI Techniques and Applications (26 papers) and Neuroscience and Neuropharmacology Research (25 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Cognitive Neuroscience (1.2k citations) and Toxicology (196 citations). Marc J. Kaufman has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Bertha K. Madras, Perry F. Renshaw, L. Pinsky, Amy C. Janes, Luis C. Maas, Scott E. Lukas, Blaise deB. Frederick, Jack H. Mendelson, Bruce M. Cohen and A. Eden Evins. Their work appears in journals such as Nature, JAMA 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.