K. Wasserman
- Complementary and alternative medicine top 0.01%
- Cardiovascular and exercise physiology 30
- Orthopedics and Sports Medicine top 0.2%
- Sports Performance and Training 20
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- Heart Rate Variability and Autonomic Control 11
- Rehabilitation top 1%
- Cell Biology top 1%
- Muscle metabolism and nutrition 7
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- Chronic Obstructive Pulmonary Disease (COPD) Research 9
- Respiratory Support and Mechanisms 5
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- Hemodynamic Monitoring and Therapy 7
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- Neuroscience of respiration and sleep 5
K. Wasserman
51 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Complementary and alternative medicine 5.0k
- Orthopedics and Sports Medicine 2.5k
- Cardiology and Cardiovascular Medicine 3.5k
- Rehabilitation 407
- Cell Biology 818
Countries citing papers authored by K. Wasserman
This map shows the geographic impact of K. Wasserman'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 K. Wasserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Wasserman more than expected).
Fields of papers citing papers by K. Wasserman
This network shows the impact of papers produced by K. Wasserman. 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 K. Wasserman. The network helps show where K. Wasserman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K. Wasserman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 1 | |
| 2 | 1998 | 7 | |
| 3 | 1993 | 53 | |
| 4 | 1993 | 125 | |
| 5 | 1992 | 53 | |
| 6 | 1992 | 1 | |
| 7 | 1991 | 2 | |
| 8 | 1989 | 6 | |
| 9 | 1989 | 45 | |
| 10 | Anaerobiosis, lactate, and gas exchange during exercise: the issues. | 1986 | 17 |
| 11 | 1986 | 171 | |
| 12 | A constant which determines the duration of tolerance to high intensity work | 1982 | 77 |
| 13 | 1982 | 15 | |
| 14 | 1982 | 10 | |
| 15 | 1980 | 52 | |
| 16 | 1978 | 24 | |
| 17 | 1978 | 48 | |
| 18 | 1976 | 79 | |
| 19 | 1973 | 263 | |
| 20 | 1966 | 21 |
About K. Wasserman
K. Wasserman is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 51 papers that have together received 7.5k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (30 papers), Sports Performance and Training (20 papers), Heart Rate Variability and Autonomic Control (11 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Muscle metabolism and nutrition (7 papers), Hemodynamic Monitoring and Therapy (7 papers), Respiratory Support and Mechanisms (5 papers) and Neuroscience of respiration and sleep (5 papers). The work is most often cited by research in Complementary and alternative medicine (5.0k citations), Orthopedics and Sports Medicine (2.5k citations), Cardiology and Cardiovascular Medicine (3.5k citations), Rehabilitation (407 citations) and Cell Biology (818 citations). K. Wasserman has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Brian J. Whipp, W. L. Beaver, B J Whipp, Richard Casaburi, N. Lamarra, Thomas J. Barstow, Sankar N. Koyal, Thomas W. Storer, Issahar Ben-Dov and J. A. Davis. Their work appears in journals such as Journal of Applied Physiology, CHEST Journal, Circulation, American Journal of Physiology-Endocrinology and Metabolism and Medicine & Science in Sports & Exercise.
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.