R. S. Hikida

40 total papers · 1.9k total citations
26 papers, 1.4k citations indexed

About

R. S. Hikida is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Orthopedics and Sports Medicine. According to data from OpenAlex, R. S. Hikida has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Orthopedics and Sports Medicine. Recurrent topics in R. S. Hikida's work include Muscle Physiology and Disorders (12 papers), Sports Performance and Training (5 papers) and Muscle activation and electromyography studies (5 papers). R. S. Hikida is often cited by papers focused on Muscle Physiology and Disorders (12 papers), Sports Performance and Training (5 papers) and Muscle activation and electromyography studies (5 papers). R. S. Hikida collaborates with scholars based in United States, Japan and Australia. R. S. Hikida's co-authors include Robert S. Staron, F. C. Hagerman, J. E. Falkel, Daniel L. Karapondo, Andrew C. Fry, William J. Kraemer, Scott E. Gordon, Michael J. Leonardi, E. S. Malicky and Thomas F. Murray and has published in prestigious journals such as Journal of Applied Physiology, Medicine & Science in Sports & Exercise and The American Journal of Cardiology.

In The Last Decade

R. S. Hikida

25 papers receiving 1.3k citations

Hit Papers

Skeletal muscle adaptatio... 1994 2026 2004 2015 1994 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
R. S. Hikida 751 431 403 340 274 26 1.4k
Gerson Eduardo Rocha Campos 664 0.9× 348 0.8× 285 0.7× 371 1.1× 319 1.2× 23 1.5k
J. E. Falkel 1.0k 1.4× 243 0.6× 348 0.9× 394 1.2× 312 1.1× 21 1.7k
Kumika Toma 940 1.3× 251 0.6× 377 0.9× 422 1.2× 481 1.8× 15 1.7k
Régis Bonnefoy 519 0.7× 450 1.0× 212 0.5× 350 1.0× 257 0.9× 20 1.3k
Mona Esbjörnsson 615 0.8× 588 1.4× 335 0.8× 325 1.0× 277 1.0× 36 1.8k
Gregory F. Martel 549 0.7× 558 1.3× 404 1.0× 264 0.8× 208 0.8× 25 1.7k
Kerry E. Ragg 972 1.3× 216 0.5× 348 0.9× 403 1.2× 491 1.8× 12 1.6k
Allen C. Parcell 728 1.0× 282 0.7× 328 0.8× 273 0.8× 408 1.5× 52 1.5k
Tommy R. Lundberg 556 0.7× 388 0.9× 352 0.9× 146 0.4× 297 1.1× 56 1.6k
D. Ranney 644 0.9× 266 0.6× 433 1.1× 373 1.1× 472 1.7× 49 1.7k

Countries citing papers authored by R. S. Hikida

Since Specialization
Citations

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

Fields of papers citing papers by R. S. Hikida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. S. Hikida. 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 R. S. Hikida. The network helps show where R. S. Hikida may publish in the future.

Co-authorship network of co-authors of R. S. Hikida

This figure shows the co-authorship network connecting the top 25 collaborators of R. S. Hikida. A scholar is included among the top collaborators of R. S. Hikida 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 R. S. Hikida. R. S. Hikida 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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