Craig Porter

5.6k total citations · 1 hit paper
101 papers, 3.7k citations indexed

About

Craig Porter is a scholar working on Epidemiology, Physiology and Rehabilitation. According to data from OpenAlex, Craig Porter has authored 101 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Epidemiology, 38 papers in Physiology and 27 papers in Rehabilitation. Recurrent topics in Craig Porter's work include Burn Injury Management and Outcomes (33 papers), Adipose Tissue and Metabolism (32 papers) and Muscle metabolism and nutrition (20 papers). Craig Porter is often cited by papers focused on Burn Injury Management and Outcomes (33 papers), Adipose Tissue and Metabolism (32 papers) and Muscle metabolism and nutrition (20 papers). Craig Porter collaborates with scholars based in United States, Greece and United Kingdom. Craig Porter's co-authors include Labros S. Sidossis, David N. Herndon, Elisabet Børsheim, Maria Chondronikola, Tony Chao, Oscar E. Suman, Manish Kumar Saraf, Blake B. Rasmussen, Nisha Bhattarai and Elena Volpi and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Craig Porter

99 papers receiving 3.7k citations

Hit Papers

Brown Adipose Tissue Improves Whole-Body Glucose Homeosta... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Craig Porter United States 31 1.8k 1.6k 943 857 506 101 3.7k
Elisabet Børsheim United States 30 2.3k 1.2× 1.0k 0.7× 980 1.0× 857 1.0× 1.4k 2.7× 102 4.2k
Andreas Oberbach Germany 26 2.2k 1.2× 1.6k 1.0× 737 0.8× 1.9k 2.3× 460 0.9× 80 5.2k
Bettina Mittendorfer United States 47 3.9k 2.1× 2.2k 1.4× 366 0.4× 1.4k 1.7× 1.5k 3.1× 129 7.6k
Vladimír Štich Czechia 40 2.9k 1.6× 1.9k 1.2× 285 0.3× 898 1.0× 584 1.2× 108 4.7k
Marília Seelaender Brazil 40 2.3k 1.3× 841 0.5× 721 0.8× 1.3k 1.6× 448 0.9× 156 4.3k
Asle Aarsland United States 36 2.8k 1.5× 743 0.5× 894 0.9× 2.0k 2.3× 3.0k 5.9× 68 5.9k
Harry R. Gosker Netherlands 41 2.4k 1.3× 467 0.3× 375 0.4× 1.5k 1.7× 308 0.6× 109 5.9k
Olav Rooyackers Sweden 39 2.7k 1.5× 653 0.4× 348 0.4× 2.3k 2.7× 1.3k 2.6× 155 6.3k
Fredrik Lönnqvist Sweden 36 3.8k 2.0× 2.3k 1.4× 173 0.2× 1.4k 1.7× 490 1.0× 63 6.4k
Rafael Deminice Brazil 27 1.0k 0.5× 258 0.2× 639 0.7× 588 0.7× 704 1.4× 112 2.6k

Countries citing papers authored by Craig Porter

Since Specialization
Citations

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

Fields of papers citing papers by Craig Porter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig Porter

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Porter. A scholar is included among the top collaborators of Craig Porter 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 Craig Porter. Craig Porter 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.
Sikes, James D., Ying Zhong, Steven L. Britton, et al.. (2025). Shared and distinct adaptations to early‐life exercise training based on inborn fitness. The Journal of Physiology.
2.
Lázaro, André, et al.. (2025). Impact of the metabolic disease status in obesity and surgical weight loss on human adipose tissue bioenergetics. The Journal of Physiology. 603(9). 2583–2617. 1 indexed citations
3.
Rontoyanni, Victoria G., Tatiana Moro, Nisha Bhattarai, et al.. (2023). Skeletal Muscle Bioenergetics in Critical Limb Ischemia and Diabetes. Journal of Surgical Research. 288. 108–117. 1 indexed citations
5.
Suman, Oscar E., et al.. (2021). Rehabilitative Exercise Training for Burn Injury. Sports Medicine. 51(12). 2469–2482. 28 indexed citations
6.
Ross, Evan, et al.. (2021). The impact of catecholamines on skeletal muscle following massive burns: Friend or foe?. Burns. 47(4). 756–764. 10 indexed citations
7.
Shlofmitz, Evan, Mitsuaki Matsumura, Akiko Maehara, et al.. (2021). TCT-273 Impact of Shockwave Intravascular Lithotripsy Induced Calcium Fracture for Treatment of Stent Underexpansion Mediated In-Stent Restenosis. Journal of the American College of Cardiology. 78(19). B111–B112. 1 indexed citations
8.
Moro, Tatiana, Camille R. Brightwell, Colleen F. McKenna, et al.. (2019). Low skeletal muscle capillarization limits muscle adaptation to resistance exercise training in older adults. Experimental Gerontology. 127. 110723–110723. 61 indexed citations
9.
Malagaris, Ioannis, David N. Herndon, Efstathia Polychronopoulou, et al.. (2018). Determinants of skeletal muscle protein turnover following severe burn trauma in children. Clinical Nutrition. 38(3). 1348–1354. 9 indexed citations
10.
Zatarain, John R., Michael E. R. Nicholls, Craig Porter, et al.. (2017). Upregulation of Cystathionine-β-Synthase in Colonic Epithelia Reprograms Metabolism and Promotes Carcinogenesis. Cancer Research. 77(21). 5741–5754. 115 indexed citations
12.
Herndon, David N., et al.. (2017). The Role of Mitochondrial Stress in Muscle Wasting Following Severe Burn Trauma. Journal of Burn Care & Research. 39(1). 100–108. 13 indexed citations
13.
Chondronikola, Maria, Elena Volpi, Elisabet Børsheim, et al.. (2016). Brown Adipose Tissue Is Linked to a Distinct Thermoregulatory Response to Mild Cold in People. Frontiers in Physiology. 7. 44 indexed citations
14.
Porter, Craig, David N. Herndon, Maria Chondronikola, et al.. (2016). Human and Mouse Brown Adipose Tissue Mitochondria Have Comparable UCP1 Function. Cell Metabolism. 24(2). 246–255. 100 indexed citations
15.
Čapek, Karel, Paul Wurzer, David N. Herndon, et al.. (2016). Functional Exercise Capacity in Children With Electrical Burns. Journal of Burn Care & Research. 38(3). e647–e652. 4 indexed citations
16.
Diaz, Eva C., David N. Herndon, Jinhyung Lee, et al.. (2015). Predictors of muscle protein synthesis after severe pediatric burns. The Journal of Trauma: Injury, Infection, and Critical Care. 78(4). 816–822. 19 indexed citations
17.
Sidossis, Labros S., Craig Porter, Manish Kumar Saraf, et al.. (2015). Browning of Subcutaneous White Adipose Tissue in Humans after Severe Adrenergic Stress. Cell Metabolism. 22(2). 219–227. 315 indexed citations
18.
Porter, Craig, Paul T. Reidy, Nisha Bhattarai, Labros S. Sidossis, & Blake B. Rasmussen. (2014). Resistance Exercise Training Alters Mitochondrial Function in Human Skeletal Muscle. Medicine & Science in Sports & Exercise. 47(9). 1922–1931. 215 indexed citations
19.
Hardee, Justin P., Craig Porter, Labros S. Sidossis, et al.. (2014). Early Rehabilitative Exercise Training in the Recovery from Pediatric Burn. Medicine & Science in Sports & Exercise. 46(9). 1710–1716. 51 indexed citations
20.
Robillard, J, et al.. (1994). Ontogenic Changes and Regulation of Renal Angiotensin II Type 1 Receptor Gene Expression during Fetal and Newborn Life. Pediatric Research. 36(6). 755–762. 35 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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