David R. Pearson

2.6k total citations
79 papers, 1.7k citations indexed

About

David R. Pearson is a scholar working on Rheumatology, Cell Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, David R. Pearson has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Rheumatology, 16 papers in Cell Biology and 15 papers in Orthopedics and Sports Medicine. Recurrent topics in David R. Pearson's work include Muscle metabolism and nutrition (16 papers), Sports Performance and Training (15 papers) and Autoimmune Bullous Skin Diseases (12 papers). David R. Pearson is often cited by papers focused on Muscle metabolism and nutrition (16 papers), Sports Performance and Training (15 papers) and Autoimmune Bullous Skin Diseases (12 papers). David R. Pearson collaborates with scholars based in United States, Australia and Chile. David R. Pearson's co-authors include D. L. Costill, W. J. Fink, William J. Kraemer, David D. Pascoe, Scott Trappe, Robert A. Robergs, William J. Fink, Bruce W. Craig, Victoria P. Werth and Keijo Häkkinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and Journal of Applied Physiology.

In The Last Decade

David R. Pearson

67 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R. Pearson United States 22 913 727 366 314 255 79 1.7k
Mark D. Schuenke United States 15 463 0.5× 555 0.8× 114 0.3× 345 1.1× 153 0.6× 26 1.7k
João Luíz Quagliotti Durigan Brazil 23 525 0.6× 210 0.3× 436 1.2× 414 1.3× 343 1.3× 142 1.7k
Mark A. Merrick United States 19 714 0.8× 209 0.3× 592 1.6× 342 1.1× 336 1.3× 36 1.7k
Vegard V. Iversen Norway 21 320 0.4× 148 0.2× 274 0.7× 326 1.0× 128 0.5× 38 2.3k
Robert Csapo Austria 23 982 1.1× 180 0.2× 164 0.4× 362 1.2× 588 2.3× 75 1.9k
Stephen Pearson United Kingdom 26 1.2k 1.4× 140 0.2× 164 0.4× 264 0.8× 580 2.3× 72 2.1k
Alejandro F. San Juan Spain 23 643 0.7× 397 0.5× 161 0.4× 307 1.0× 107 0.4× 55 2.0k
Timothy J. Quinn United States 21 484 0.5× 197 0.3× 110 0.3× 371 1.2× 127 0.5× 48 1.4k
M. O’Brien Ireland 22 1.0k 1.1× 204 0.3× 79 0.2× 205 0.7× 263 1.0× 46 1.8k
Paul W. Ackermann Sweden 33 1.8k 1.9× 210 0.3× 234 0.6× 202 0.6× 159 0.6× 116 2.6k

Countries citing papers authored by David R. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by David R. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David R. Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Pearson. A scholar is included among the top collaborators of David R. Pearson 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 David R. Pearson. David R. Pearson 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.
Bohjanen, Kimberly, et al.. (2023). Autoimmune bullous disorder flares following severe acute respiratory syndrome coronavirus 2 vaccination: a case series. Journal of Medical Case Reports. 17(1). 408–408. 2 indexed citations
2.
Pearson, David R., et al.. (2023). Treatment of sclerotic chronic graft-versus-host disease with injections of hyaluronidase. JAAD Case Reports. 38. 55–58. 2 indexed citations
3.
Morand, Eric F., Victoria P. Werth, Andrew T. Bender, et al.. (2022). 1501 Enpatoran: preclinical evidence supporting glucocorticoid dose reduction and Phase II study design in patients with SLE and/or CLE (WILLOW). SHILAP Revista de lepidopterología. A93–A94.
4.
5.
Billington, Charles J., et al.. (2021). A case of VEXAS syndrome associated with EBV-associated hemophagocytic lymphohistiocytosis. Blood Cells Molecules and Diseases. 93. 102636–102636. 26 indexed citations
6.
Pearson, David R., et al.. (2020). Malignancy in dermatomyositis: A retrospective study of 201 patients seen at the University of Pennsylvania. Journal of the American Academy of Dermatology. 83(1). 117–122. 18 indexed citations
7.
Pearson, David R., et al.. (2020). Acitretin therapy for vulvar lichen sclerosus complicated by recurrent squamous cell carcinoma. JAAD Case Reports. 8. 53–55.
8.
9.
Werth, Victoria P., David R. Pearson, Joyce Okawa, et al.. (2019). 610 Safety and efficacy of lenabasum in refractory skin-predominant dermatomyositis subjects treated on an open-label extension of trial JBT101-DM-001. Journal of Investigative Dermatology. 139(5). S105–S105. 5 indexed citations
10.
Dunnick, Cory A., Michael Lehrer, Hania K. Flaten, et al.. (2019). Dermatology Tactile Learning Tool: Development and student evaluation of an interactive 3-dimensional skin lesion model for medical student education. Journal of the American Academy of Dermatology. 88(5). 1113–1115. 2 indexed citations
11.
Patsatsi, Aikaterini, David R. Pearson, & Victoria P. Werth. (2019). Dermatomyositis in patients with autoimmune blistering diseases. International Journal of Women’s Dermatology. 5(4). 256–260. 1 indexed citations
12.
Gaffney, Rebecca G., et al.. (2019). Assessing the Correlation Between Disease Severity Indices and Quality of Life Measurement Tools in Pemphigus. Frontiers in Immunology. 10. 2571–2571. 16 indexed citations
13.
Pearson, David R., Munir Tarazi, Rebecca G. Gaffney, et al.. (2018). 515 Assessing the quality of quality of life measurement tools in autoimmune blistering disease. Journal of Investigative Dermatology. 138(5). S88–S88. 1 indexed citations
14.
Pearson, David R. & Victoria P. Werth. (2018). 274 Prevalence and relative risk of microscopic colitis and chronic diarrhea in dermatomyositis. Journal of Investigative Dermatology. 138(5). S47–S47. 1 indexed citations
15.
Pearson, David R., et al.. (2010). Amino Acid Supplements and Recovery from High-Intensity Resistance Training. The Journal of Strength and Conditioning Research. 24(4). 1125–1130. 71 indexed citations
16.
Coburn, Stephen P., Karen L. Ericson, Robert D. Reynolds, et al.. (2003). Modeling Short (7 hour)- and Long (6 week)-Term Kinetics of Vitamin B-6 Metabolism with Stable Isotopes in Humans. Advances in experimental medicine and biology. 537. 173–192. 3 indexed citations
17.
Coburn, Stephen P., Robert D. Reynolds, J. Dennis Mahuren, et al.. (2002). Elevated plasma 4-pyridoxic acid in renal insufficiency. American Journal of Clinical Nutrition. 75(1). 57–64. 33 indexed citations
18.
Volek, Jeff S., Noel D. Duncan, SCOTT A. MAZZETTI, et al.. (1999). Performance and muscle fiber adaptations to creatine supplementation and heavy resistance training. Medicine & Science in Sports & Exercise. 31(8). 1147–1156. 262 indexed citations
19.
Pearson, David R.. (1998). BRIDGING THE GAP: Strength Training is Ageless. Strength & Conditioning Journal. 20(3). 12–12.
20.
Pascoe, David D., D. L. Costill, Robert A. Robergs, et al.. (1990). Effects of exercise mode on muscle glycogen restorage during repeated days of exercise. Medicine & Science in Sports & Exercise. 22(5). 593–598. 30 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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