James C. Healy

987 total citations
44 papers, 762 citations indexed

About

James C. Healy is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, James C. Healy has authored 44 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 11 papers in Molecular Biology and 11 papers in Cell Biology. Recurrent topics in James C. Healy's work include Muscle metabolism and nutrition (11 papers), Adipose Tissue and Metabolism (9 papers) and Exercise and Physiological Responses (7 papers). James C. Healy is often cited by papers focused on Muscle metabolism and nutrition (11 papers), Adipose Tissue and Metabolism (9 papers) and Exercise and Physiological Responses (7 papers). James C. Healy collaborates with scholars based in United States, Australia and Ireland. James C. Healy's co-authors include Walter H. Henricks, Michael D. Roberts, Anne C. Lind, Chhanda Bewtra, Kenneth L. Sims, James H. Harrison, Philip J. Boyer, J. Mark Tuthill, C. Brooks Mobley and Marc Rendell and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

James C. Healy

39 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James C. Healy United States 18 279 205 104 89 75 44 762
Yoon-Ho Choi South Korea 21 134 0.5× 211 1.0× 63 0.6× 41 0.5× 61 0.8× 54 1.1k
Manfred Wilhelm Germany 20 89 0.3× 123 0.6× 73 0.7× 26 0.3× 72 1.0× 40 911
Mariadelina Simeoni Italy 16 156 0.6× 173 0.8× 12 0.1× 92 1.0× 80 1.1× 59 772
Luděk Šprongl Czechia 18 391 1.4× 140 0.7× 23 0.2× 146 1.6× 54 0.7× 41 832
Ming Sun China 15 247 0.9× 230 1.1× 166 1.6× 111 1.2× 139 1.9× 37 1.1k
Ji Hyun Song South Korea 21 198 0.7× 297 1.4× 50 0.5× 65 0.7× 81 1.1× 77 1.6k
Xinrui Li China 18 131 0.5× 318 1.6× 77 0.7× 17 0.2× 51 0.7× 59 1.3k
Gavin E. Duggan Canada 12 152 0.5× 414 2.0× 149 1.4× 17 0.2× 29 0.4× 14 847

Countries citing papers authored by James C. Healy

Since Specialization
Citations

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

Fields of papers citing papers by James C. Healy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Healy. 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 James C. Healy. The network helps show where James C. Healy may publish in the future.

Co-authorship network of co-authors of James C. Healy

This figure shows the co-authorship network connecting the top 25 collaborators of James C. Healy. A scholar is included among the top collaborators of James C. Healy 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 James C. Healy. James C. Healy 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.
2.
Stewart, Lawrence & James C. Healy. (2024). Tuning and testing the FreeBSD 6 TCP stack. Swinburne Research Bank (Swinburne University of Technology). 1 indexed citations
3.
Healy, James C., et al.. (2024). Trends in Sudden Unexpected Deaths in an Australian Population: Impact of the COVID-19 Pandemic. Heart Lung and Circulation. 33(12). 1693–1698.
4.
5.
Cunningham, Rory P., et al.. (2018). Curcumin supplementation mitigates NASH development and progression in female Wistar rats. Physiological Reports. 6(14). e13789–e13789. 42 indexed citations
6.
Haun, Cody T., C. Brooks Mobley, Christopher G. Vann, et al.. (2018). Soy protein supplementation is not androgenic or estrogenic in college-aged men when combined with resistance exercise training. Scientific Reports. 8(1). 11151–11151. 17 indexed citations
7.
Romero, Matthew A., C. Brooks Mobley, Petey W. Mumford, et al.. (2017). Acute and chronic resistance training downregulates select LINE-1 retrotransposon activity markers in human skeletal muscle. American Journal of Physiology-Cell Physiology. 314(3). C379–C388. 10 indexed citations
8.
Haun, Cody T., Michael D. Roberts, Matthew A. Romero, et al.. (2017). Concomitant external pneumatic compression treatment with consecutive days of high intensity interval training reduces markers of proteolysis. European Journal of Applied Physiology. 117(12). 2587–2600. 11 indexed citations
9.
Souza, Eduardo O. De, Ryan P. Lowery, Jacob M. Wilson, et al.. (2016). Effects of Arachidonic Acid Supplementation on Acute Anabolic Signaling and Chronic Functional Performance and Body Composition Adaptations. PLoS ONE. 11(5). e0155153–e0155153. 17 indexed citations
10.
Mobley, C. Brooks, Carlton D. Fox, Brian S. Ferguson, et al.. (2015). Effects of protein type and composition on postprandial markers of skeletal muscle anabolism, adipose tissue lipolysis, and hypothalamic gene expression. Journal of the International Society of Sports Nutrition. 12(1). 14–14. 22 indexed citations
11.
Mobley, C. Brooks, Carlton D. Fox, Richard M. Thompson, et al.. (2015). Comparative effects of whey protein versus l-leucine on skeletal muscle protein synthesis and markers of ribosome biogenesis following resistance exercise. Amino Acids. 48(3). 733–750. 24 indexed citations
12.
Henricks, Walter H. & James C. Healy. (2002). Informatics Training in Pathology Residency Programs. American Journal of Clinical Pathology. 118(2). 172–178. 25 indexed citations
13.
Rendell, Marc, et al.. (1999). A comparison of the cutaneous microvascular properties of the Spontaneously Hypertensive rat and the Wistar-Kyoto rat. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 122(4). 399–406. 10 indexed citations
14.
Marble, Robert P. & James C. Healy. (1999). A neural network approach to the diagnosis of morbidity outcomes in trauma care. Artificial Intelligence in Medicine. 15(3). 299–307. 28 indexed citations
15.
Rendell, Marc, et al.. (1998). The Microvascular Composition of the Healing Wound Compared at Skin Sites with Nutritive versus Arteriovenous Perfusion. Journal of Surgical Research. 80(2). 373–379. 12 indexed citations
16.
Rendell, Marc, et al.. (1998). The Relationship of Laser–Doppler Skin Blood Flow Measurements to the Cutaneous Microvascular Anatomy. Microvascular Research. 55(1). 3–13. 34 indexed citations
17.
Healy, James C., et al.. (1997). Medical Informatics Training in Pathology Residency Programs. American Journal of Clinical Pathology. 107(1). 122–127. 27 indexed citations
18.
Healy, James C., et al.. (1997). The Cost of Diagnosis. CHEST Journal. 111(4). 870–876. 32 indexed citations
19.
Lind, Anne C., Chhanda Bewtra, James C. Healy, & Kenneth L. Sims. (1995). Prospective Peer Review in Surgical Pathology. American Journal of Clinical Pathology. 104(5). 560–566. 89 indexed citations
20.
Lyon, Harold C., et al.. (1993). The PlanAlyzer Cases for Teaching Clinical Reasoning: A Demonstration of the Cases, Discussion of the Research & Development Process, Lessons Learned and Strategies for Introducing Computer-Based Programs into Medical School Courses as a Vehicle for Curriculum Reform.. PubMed Central. 952–952. 2 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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