Matthew D. Pahnke

25 total papers · 529 total citations
10 papers, 435 citations indexed

About

Matthew D. Pahnke is a scholar working on Physiology, Orthopedics and Sports Medicine and Complementary and alternative medicine. According to data from OpenAlex, Matthew D. Pahnke has authored 10 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 6 papers in Orthopedics and Sports Medicine and 3 papers in Complementary and alternative medicine. Recurrent topics in Matthew D. Pahnke's work include Thermoregulation and physiological responses (6 papers), Sports Performance and Training (6 papers) and Cardiovascular and exercise physiology (3 papers). Matthew D. Pahnke is often cited by papers focused on Thermoregulation and physiological responses (6 papers), Sports Performance and Training (6 papers) and Cardiovascular and exercise physiology (3 papers). Matthew D. Pahnke collaborates with scholars based in United States, China and United Kingdom. Matthew D. Pahnke's co-authors include Edward F. Coyle, Joel D. Trinity, Kelly A. Barnes, Philipp Gutruf, Amay J. Bandodkar, Roozbeh Ghaffari, John A. Rogers, Shuai Xu, Tyler R. Ray and Wei Xia and has published in prestigious journals such as Journal of Applied Physiology, Science Advances and Medicine & Science in Sports & Exercise.

In The Last Decade

Matthew D. Pahnke

10 papers receiving 420 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthew D. Pahnke 244 96 73 65 64 10 435
Christie Rose-Gottron 205 0.8× 93 1.0× 80 1.1× 65 1.0× 60 0.9× 9 478
Melissa L. Anderson 184 0.8× 162 1.7× 60 0.8× 49 0.8× 64 1.0× 9 370
Rotem Cohen 133 0.5× 32 0.3× 85 1.2× 23 0.4× 195 3.0× 9 429
Sarah Hughes 173 0.7× 46 0.5× 51 0.7× 60 0.9× 54 0.8× 16 483
Ronen Reuveny 202 0.8× 26 0.3× 89 1.2× 39 0.6× 12 0.2× 20 397
Anubha Kalra 275 1.1× 33 0.3× 70 1.0× 48 0.7× 7 0.1× 21 467
Dan Nemet 204 0.8× 12 0.1× 80 1.1× 66 1.0× 18 0.3× 25 410
Aolin Yang 196 0.8× 53 0.6× 87 1.2× 71 1.1× 22 0.3× 23 426
Adrian A. Polliack 170 0.7× 48 0.5× 20 0.3× 15 0.2× 33 0.5× 24 370
Jai Kyoung Sim 346 1.4× 42 0.4× 104 1.4× 54 0.8× 6 0.1× 26 476

Countries citing papers authored by Matthew D. Pahnke

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Pahnke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Pahnke. 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 Matthew D. Pahnke. The network helps show where Matthew D. Pahnke may publish in the future.

Co-authorship network of co-authors of Matthew D. Pahnke

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

All Works

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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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