K. Wasserman

9.3k total citations · 3 hit papers
51 papers, 7.5k citations indexed

About

K. Wasserman is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, K. Wasserman has authored 51 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Complementary and alternative medicine, 20 papers in Orthopedics and Sports Medicine and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in K. Wasserman's work include Cardiovascular and exercise physiology (30 papers), Sports Performance and Training (20 papers) and Heart Rate Variability and Autonomic Control (11 papers). K. Wasserman is often cited by papers focused on Cardiovascular and exercise physiology (30 papers), Sports Performance and Training (20 papers) and Heart Rate Variability and Autonomic Control (11 papers). K. Wasserman collaborates with scholars based in United States, Australia and Italy. K. Wasserman's 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 and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Journal of Applied Physiology.

In The Last Decade

K. Wasserman

51 papers receiving 7.1k citations

Hit Papers

A new method for detecting anaerobic threshold by gas exc... 1972 2026 1990 2008 1986 1972 1981 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Wasserman United States 32 5.0k 3.5k 2.5k 1.6k 1.1k 51 7.5k
W. L. Beaver United States 18 4.5k 0.9× 3.1k 0.9× 2.2k 0.9× 1.3k 0.8× 1.1k 1.0× 30 7.0k
Thomas J. Barstow United States 58 7.0k 1.4× 4.1k 1.2× 4.3k 1.7× 989 0.6× 1.8k 1.6× 198 10.2k
Jere H. Mitchell United States 56 2.9k 0.6× 6.1k 1.8× 971 0.4× 701 0.4× 1.5k 1.4× 153 8.9k
J. A. Davis United States 22 2.6k 0.5× 1.5k 0.4× 1.7k 0.7× 649 0.4× 734 0.7× 32 3.9k
Wilfried Kindermann Germany 50 3.4k 0.7× 2.8k 0.8× 3.7k 1.5× 429 0.3× 1.9k 1.7× 174 8.8k
David F. Pegelow United States 43 3.6k 0.7× 2.1k 0.6× 1.5k 0.6× 3.5k 2.1× 1.2k 1.1× 86 6.8k
Keith George United Kingdom 57 3.1k 0.6× 6.7k 1.9× 2.6k 1.0× 615 0.4× 1.1k 1.0× 301 10.2k
Maureen J. MacDonald Canada 43 3.9k 0.8× 3.4k 1.0× 2.0k 0.8× 469 0.3× 2.2k 2.0× 170 7.7k
C. Gunnar Blomqvist United States 53 2.1k 0.4× 4.3k 1.2× 729 0.3× 707 0.4× 2.8k 2.5× 124 7.8k
Michael E. Tschakovsky Canada 39 2.7k 0.5× 4.2k 1.2× 934 0.4× 612 0.4× 1.3k 1.2× 103 6.0k

Countries citing papers authored by K. Wasserman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of K. Wasserman

This figure shows the co-authorship network connecting the top 25 collaborators of K. Wasserman. A scholar is included among the top collaborators of K. Wasserman 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 K. Wasserman. K. Wasserman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wasserman, K., et al.. (2014). Overview and Future Directions. 239–256. 1 indexed citations
2.
Weisman, Idelle M., et al.. (1998). Heart or Lung Disease. CHEST Journal. 113(6). 1705–1710. 7 indexed citations
3.
Patessio, A, Richard Casaburi, Mauro Carone, et al.. (1993). Comparison of Gas Exchange, Lactate, and Lactic Acidosis Thresholds in Patients with Chronic Obstructive Pulmonary Disease. American Review of Respiratory Disease. 148(3). 622–626. 53 indexed citations
4.
Barstow, Thomas J., Richard Casaburi, & K. Wasserman. (1993). O2 uptake kinetics and the O2 deficit as related to exercise intensity and blood lactate. Journal of Applied Physiology. 75(2). 755–762. 125 indexed citations
5.
Wasserman, K. & Atsushi Koike. (1992). Is the Anaerobic Threshold Truly Anaerobic?. CHEST Journal. 101(5). 211S–218S. 53 indexed citations
6.
Cooper, C.B., David Lewis, & K. Wasserman. (1992). O2 KINETICS FOR CONSTANT WORK RATE EXERCISE DETERMINED BY CEOMETRIC ANALYSIS OF CUMULATIVE OXYGEN UPTAKE. Medicine & Science in Sports & Exercise. 24(Supplement). S83–S83. 1 indexed citations
7.
Winter, U. J., et al.. (1991). Computerized Cardiopulmonary Exercise Testing. Steinkopff eBooks. 2 indexed citations
8.
Wasserman, K.. (1989). The peripheral circulation and lactic acid metabolism in heart, or cardiovascular, failure.. Circulation. 80(4). 1084–1086. 6 indexed citations
9.
Innes, J A, et al.. (1989). Respiration during recovery from exercise: effects of trapping and release of femoral blood flow. Journal of Applied Physiology. 67(6). 2608–2613. 45 indexed citations
10.
Wasserman, K.. (1986). Anaerobiosis, lactate, and gas exchange during exercise: the issues.. PubMed. 45(13). 2904–9. 17 indexed citations
11.
Beaver, W. L., K. Wasserman, & Brian J. Whipp. (1986). Bicarbonate buffering of lactic acid generated during exercise. Journal of Applied Physiology. 60(2). 472–478. 171 indexed citations
12.
Wasserman, K.. (1982). A constant which determines the duration of tolerance to high intensity work. Federation Proceedings. 7719. 77 indexed citations
14.
Whipp, Brian J., et al.. (1982). Ventilatory control during experimental maldistribution of VA/Q in the dog. Journal of Applied Physiology. 52(1). 245–253. 10 indexed citations
15.
Sue, Darryl Y., Joar Hansen, Marie‐Claude Blais, & K. Wasserman. (1980). Measurement and analysis of gas exchange during exercise using a programmable calculator. Journal of Applied Physiology. 49(3). 456–461. 52 indexed citations
16.
Stremel, Richard W., D. J. Huntsman, Richard Casaburi, Brian J. Whipp, & K. Wasserman. (1978). Control of ventilation during intravenous CO2 loading in the awake dog. Journal of Applied Physiology. 44(2). 311–316. 24 indexed citations
17.
Casaburi, Richard, Brian J. Whipp, K. Wasserman, & Sankar N. Koyal. (1978). Ventilatory and gas exchange responses to cycling with sinusoidally varying pedal rate. Journal of Applied Physiology. 44(1). 97–103. 48 indexed citations
18.
Koyal, Sankar N., Brian J. Whipp, D. J. Huntsman, G. A. Bray, & K. Wasserman. (1976). Ventilatory responses to the metabolic acidosis of treadmill and cycle ergometry. Journal of Applied Physiology. 40(6). 864–867. 79 indexed citations
19.
Beaver, W. L., K. Wasserman, & Brian J. Whipp. (1973). On-line computer analysis and breath-by-breath graphical display of exercise function tests.. Journal of Applied Physiology. 34(1). 128–132. 263 indexed citations
20.
Wasserman, K., John M. Butler, & Antonius Van Kessel. (1966). Factors affecting the pulmonary capillary blood flow pulse in man.. Journal of Applied Physiology. 21(3). 890–900. 21 indexed citations

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.

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