Gregory B. Waypa

40 total papers · 3.6k total citations
31 papers, 2.9k citations indexed

About

Gregory B. Waypa is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Gregory B. Waypa has authored 31 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Physiology and 10 papers in Cancer Research. Recurrent topics in Gregory B. Waypa's work include Mitochondrial Function and Pathology (14 papers), Nitric Oxide and Endothelin Effects (13 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Gregory B. Waypa is often cited by papers focused on Mitochondrial Function and Pathology (14 papers), Nitric Oxide and Endothelin Effects (13 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Gregory B. Waypa collaborates with scholars based in United States, Philippines and Taiwan. Gregory B. Waypa's co-authors include Paul T. Schumacker, Paul T. Mungai, Jeremy D. Marks, Navdeep S. Chandel, Robert D. Guzy, Kimberly A. Smith, Danijela Đokić, Molly K. Ball, Murali Prakriya and Amit Jairaman and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Circulation Research.

In The Last Decade

Gregory B. Waypa

30 papers receiving 2.9k citations

Author Peers

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

Author Last Decade Papers Cites
Gregory B. Waypa 1.5k 915 703 555 414 31 2.9k
Robert D. Guzy 2.5k 1.6× 873 1.0× 575 0.8× 1.5k 2.6× 235 0.6× 28 4.2k
Takeshi Marumo 1.5k 1.0× 867 0.9× 325 0.5× 228 0.4× 283 0.7× 59 3.7k
J. T. Sylvester 1.3k 0.9× 1.2k 1.3× 1.7k 2.5× 656 1.2× 742 1.8× 55 3.5k
Andrew W. Norris 1.6k 1.1× 1.7k 1.8× 414 0.6× 230 0.4× 180 0.4× 72 4.0k
Iain R. Hutcheson 1.4k 0.9× 626 0.7× 429 0.6× 423 0.8× 84 0.2× 50 3.2k
Jianping Jin 1.5k 1.0× 753 0.8× 186 0.3× 212 0.4× 396 1.0× 43 3.5k
Chung-Ming Hsieh 2.2k 1.4× 382 0.4× 304 0.4× 346 0.6× 114 0.3× 29 3.8k
Philip M. Bauer 1.3k 0.9× 982 1.1× 473 0.7× 315 0.6× 122 0.3× 46 2.9k
Abu B. Al‐Mehdi 958 0.6× 1.1k 1.2× 377 0.5× 283 0.5× 149 0.4× 37 2.7k
Kazuwa Nakao 2.0k 1.3× 947 1.0× 314 0.4× 225 0.4× 189 0.5× 72 4.1k

Countries citing papers authored by Gregory B. Waypa

Since Specialization
Citations

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

Fields of papers citing papers by Gregory B. Waypa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory B. Waypa. 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 Gregory B. Waypa. The network helps show where Gregory B. Waypa may publish in the future.

Co-authorship network of co-authors of Gregory B. Waypa

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory B. Waypa. A scholar is included among the top collaborators of Gregory B. Waypa 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 Gregory B. Waypa. Gregory B. Waypa 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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