Marc P. Kaufman
- Cardiology and Cardiovascular Medicine top 0.2%
- Complementary and alternative medicine top 0.02%
- Physiology top 0.5%
- Endocrine and Autonomic Systems top 0.2%
- Biomedical Engineering top 2%
- Co-authors
- K. J. RybickiShawn G. HayesD. M. RottoJ. H. MitchellGary A. IwamotoJ. M. HillJohn C. LonghurstTony G. Waldrop
- Topics
- Heart Rate Variability and Autonomic Control (118 papers)Neuroscience of respiration and sleep (63 papers)Pain Mechanisms and Treatments (58 papers)
- Cited by
- Complementary and alternative medicineEndocrine and Autonomic SystemsCardiology and Cardiovascular Medicine
- Partner nations
- United StatesFranceIndia
In The Last Decade
Marc P. Kaufman
186 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Cardiology and Cardiovascular Medicine 4.8k
- Complementary and alternative medicine 3.0k
- Physiology 2.7k
- Endocrine and Autonomic Systems 1.7k
- Biomedical Engineering 1.1k
Countries citing papers authored by Marc P. Kaufman
This map shows the geographic impact of Marc P. 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 P. 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 P. Kaufman more than expected).
Fields of papers citing papers by Marc P. Kaufman
This network shows the impact of papers produced by Marc P. 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 P. Kaufman. The network helps show where Marc P. Kaufman may publish in the future.
Co-authorship network of co-authors of Marc P. Kaufman
This figure shows the co-authorship network connecting the top 25 collaborators of Marc P. Kaufman. A scholar is included among the top collaborators of Marc P. 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 P. Kaufman. Marc P. 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 | 2 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 58 | |
| 7 | 38 | |
| 8 | 27 | |
| 9 | 54 | |
| 10 | 56 | |
| 11 | 24 | |
| 12 | 100 | |
| 13 | 32 | |
| 14 | 10 | |
| 15 | 243 | |
| 16 | 5 | |
| 17 | Afferents from limb skeletal muscle | 22 |
| 18 | 13 | |
| 19 | 41 | |
| 20 | Discharge characteristics of ventrolateral medullary cells responsive to static muscular contraction | 1 |
About Marc P. Kaufman
Marc P. Kaufman is a scholar working on Endocrine and Autonomic Systems, Complementary and alternative medicine and Cardiology and Cardiovascular Medicine, having authored 187 papers that have together received 7.9k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (118 papers), Neuroscience of respiration and sleep (63 papers) and Pain Mechanisms and Treatments (58 papers). The work is most often cited by research in Complementary and alternative medicine (3.0k citations), Endocrine and Autonomic Systems (1.7k citations) and Cardiology and Cardiovascular Medicine (4.8k citations). Marc P. Kaufman has collaborated with scholars based in United States, France and India. Frequent co-authors include K. J. Rybicki, Shawn G. Hayes, D. M. Rotto, J. H. Mitchell, Gary A. Iwamoto, J. M. Hill, John C. Longhurst, Tony G. Waldrop, C. M. Adreani and Jennifer L. McCord. Their work appears in journals such as Circulation Research, The Journal of Physiology and Journal of Neurophysiology.
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.