R. Welsh

1.7k total citations
24 papers, 1.2k citations indexed

About

R. Welsh is a scholar working on Cell Biology, Orthopedics and Sports Medicine and Complementary and alternative medicine. According to data from OpenAlex, R. Welsh has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 9 papers in Orthopedics and Sports Medicine and 8 papers in Complementary and alternative medicine. Recurrent topics in R. Welsh's work include Muscle metabolism and nutrition (10 papers), Sports Performance and Training (9 papers) and Cardiovascular and exercise physiology (8 papers). R. Welsh is often cited by papers focused on Muscle metabolism and nutrition (10 papers), Sports Performance and Training (9 papers) and Cardiovascular and exercise physiology (8 papers). R. Welsh collaborates with scholars based in United States. R. Welsh's co-authors include John M. Davis, Carl Foster, L. L. Hector, Nathan L. Alderson, J. Mark Davis, A. C. Snyder, Harriet G. Williams, Ann C. Snyder, Jason J. Winnick and E. Angela Murphy and has published in prestigious journals such as American Journal of Clinical Nutrition, Medicine & Science in Sports & Exercise and Experimental Biology and Medicine.

In The Last Decade

R. Welsh

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Welsh United States 12 779 456 377 282 261 24 1.2k
A L. G mez United States 10 795 1.0× 480 1.1× 251 0.7× 364 1.3× 285 1.1× 17 1.3k
K. M. Tarpenning Australia 15 786 1.0× 360 0.8× 309 0.8× 282 1.0× 242 0.9× 26 1.2k
Matthew Bridge United Kingdom 12 478 0.6× 331 0.7× 161 0.4× 336 1.2× 295 1.1× 22 1.0k
Noel D. Duncan Australia 13 694 0.9× 432 0.9× 197 0.5× 381 1.4× 425 1.6× 18 1.3k
Kaoru Takamatsu Japan 18 563 0.7× 343 0.8× 338 0.9× 510 1.8× 242 0.9× 66 1.2k
Mitchell A. Collins United States 17 619 0.8× 203 0.4× 386 1.0× 394 1.4× 102 0.4× 40 1.2k
Alexander J. Koch United States 21 644 0.8× 465 1.0× 302 0.8× 281 1.0× 547 2.1× 57 1.3k
Roger Ramsbottom United Kingdom 17 810 1.0× 197 0.4× 439 1.2× 400 1.4× 150 0.6× 37 1.5k
Luiz Guilherme Antonacci Guglielmo Brazil 21 1.1k 1.4× 225 0.5× 572 1.5× 328 1.2× 214 0.8× 145 1.7k
Bruno Sesboüé France 15 392 0.5× 208 0.5× 225 0.6× 362 1.3× 150 0.6× 51 1.0k

Countries citing papers authored by R. Welsh

Since Specialization
Citations

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

Fields of papers citing papers by R. Welsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Welsh

This figure shows the co-authorship network connecting the top 25 collaborators of R. Welsh. A scholar is included among the top collaborators of R. Welsh 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. Welsh. R. Welsh 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.
Jones, Karyn Ogata, Claire Kelly, R. Welsh, et al.. (2020). A qualitative study on participants’ experiences with a community-based mindful walking intervention and mobile device activity measurement. Complementary Therapies in Medicine. 57. 102640–102640. 10 indexed citations
2.
Shi, Lu, R. Welsh, Lior Rennert, et al.. (2019). A pilot study of mindful walking training on physical activity and health outcomes among adults with inadequate activity. Complementary Therapies in Medicine. 44. 116–122. 13 indexed citations
3.
Kemper, Karen & R. Welsh. (2010). Physical Activity Behaviors of Students of a Rural Historically Black College. Journal of American College Health. 58(4). 327–334. 10 indexed citations
4.
Winnick, Jason J., et al.. (2005). Carbohydrate Feedings during Team Sport Exercise Preserve Physical and CNS Function. Medicine & Science in Sports & Exercise. 37(2). 306–315. 91 indexed citations
5.
Welsh, R., et al.. (2002). Carbohydrates and physical/mental performance during intermittent exercise to fatigue. Medicine & Science in Sports & Exercise. 34(4). 723–731. 151 indexed citations
6.
Welsh, R., et al.. (2002). Carbohydrates and physical/mental performance during intermittent exercise to fatigue. Medicine & Science in Sports & Exercise. 34(4). 723–731. 49 indexed citations
7.
Mitchell, Kim H., et al.. (2001). IMPACT FORCES AT THE KNEE JOINT ??A COMPARATIVE STUDY ON RUNNING STYLES. Medicine & Science in Sports & Exercise. 33(5). S128–S128. 2 indexed citations
8.
Davis, John M., Nathan L. Alderson, & R. Welsh. (2000). Serotonin and central nervous system fatigue: nutritional considerations. American Journal of Clinical Nutrition. 72(2). 573S–578S. 187 indexed citations
9.
Davis, John M., et al.. (2000). Effects of Carbohydrate and Chromium Ingestion during Intermittent High-Intensity Exercise to Fatigue. International Journal of Sport Nutrition and Exercise Metabolism. 10(4). 476–485. 43 indexed citations
10.
Davis, John M., et al.. (1999). Effects of Branched-Chain Amino Acids and Carbohydrate on Fatigue During Intermittent, High-Intensity Running. International Journal of Sports Medicine. 20(5). 309–314. 76 indexed citations
11.
Welsh, R., et al.. (1997). CARBOHYDRATE AND BRANCHED-CHAIN AMINO ACID FEEDINGS SUPPRESS BRAIN 5-HT DURING PROLONGED EXERCISE 1096. Medicine & Science in Sports & Exercise. 29(Supplement). 192–192. 2 indexed citations
12.
Davis, J. Mark, et al.. (1997). EFFECTS OF CARBOHYDRATE AND CHROMIUM INGESTION ON FATIGUE DURING INTERMITTENT, HIGH INTENSITY EXERCISE 1572. Medicine & Science in Sports & Exercise. 29(Supplement). 277–277. 1 indexed citations
13.
Foster, Carl, et al.. (1996). Athletic performance in relation to training load.. PubMed. 95(6). 370–4. 229 indexed citations
14.
Foster, Carl, et al.. (1995). Effects of specific versus cross-training on running performance. European Journal of Applied Physiology. 70(4). 367–372. 273 indexed citations
15.
Snyder, A. C., et al.. (1994). A Simplified Approach to Estimating the Maximal Lactate Steady State. International Journal of Sports Medicine. 15(1). 27–31. 37 indexed citations
16.
Hector, L. L., et al.. (1993). 950 LONGITUDINAL EVALUATION OF THE CROSS TRAINING HYPOTHESIS. Medicine & Science in Sports & Exercise. 25(Supplement). S169–S169. 1 indexed citations
17.
Welsh, R., et al.. (1993). The state of infant hearing impairment identification programs.. PubMed. 35(4). 49–52. 3 indexed citations
18.
Snyder, A. C., et al.. (1993). 473 A SIMPLIFIED APPROACH TO ESTIMATING THE MAXIMAL LACTATE STEADY STATE. Medicine & Science in Sports & Exercise. 25(Supplement). S84–S84. 3 indexed citations
19.
Welsh, R.. (1976). Punitive Parenting. Science News. 109(25). 387–387.
20.
Chaffee, R. R. J., Steven M. Horvath, Robert E. Smith, & R. Welsh. (1966). Cellular biochemistry and organ mass of cold- and heat-acclimated monkeys.. PubMed. 25(4). 1177–84. 12 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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