Paul Chase

3.8k citations
78 papers · 2.8k · h-index 31

Impact in

Papers in

Paul Chase

75 papers receiving 2.7k citations

Peers

Paul Chase
Comparison fields: 5 of 134
  • Complementary and alternative medicine 1.1k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Pulmonary and Respiratory Medicine 471
  • Endocrine and Autonomic Systems 67
  • Physiology 194
Replace Hareld Kemps with:
Hareld Kemps Netherlands
Khung Keong Yeo Singapore
Michael D. Greenberg United States
Robert Wellman United States
Roman Leischik Germany
Sylvie Lévesque Canada
Jinhui Tian China
C. J. Gore Australia
Leonardo Roever Brazil
Danila Azzolina Italy
Paul Chase relative to Hareld Kemps Netherlands Hareld Kemps's profile →
Citations per field
00.5×10×16.8×
Hareld Kemps · 1×
Citations per year

Countries citing papers authored by Paul Chase

Since Specialization
Citations

This map shows the geographic impact of Paul Chase'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 Paul Chase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Chase more than expected).

Fields of papers citing papers by Paul Chase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Chase. 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 Paul Chase. The network helps show where Paul Chase may publish in the future.

Co-authors

The 25 scholars most cited alongside Paul Chase, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Chase Line = papers co-authored together Paul Chase links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007288
2 2013167
3 2008160
4 2016156
5 2007133
6 2012112
7 2007107
8 2008104
9 2009100
10 200392
11 200881
12 199472
13 200870
14 200963
15 201357
16 201355
17 201251
18 201048
19 201147
20 200946

About Paul Chase

Paul Chase is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Physiology and Artificial Intelligence, having authored 78 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (38 papers), Heart Failure Treatment and Management (11 papers), Cardiovascular Function and Risk Factors (9 papers), Physical Activity and Health (5 papers), Cardiovascular Effects of Exercise (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Complementary and alternative medicine (1.1k citations), Cardiology and Cardiovascular Medicine (1.3k citations), Pulmonary and Respiratory Medicine (471 citations), Endocrine and Autonomic Systems (67 citations) and Physiology (194 citations). Paul Chase has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Daniel Bensimhon, Jonathan Myers, Marco Guazzi, Ross Arena, Mary Ann Peberdy, Joshua Abella, Daniel E. Forman, Erin West, Sherry Pinkstaff and Shlomo Argamon. Their work appears in journals such as Medicine & Science in Sports & Exercise, International Journal of Cardiology, The American Journal of Cardiology, Journal of Cardiac Failure and American Heart Journal.

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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