John McDaniel

3.0k total citations · 1 hit paper
81 papers, 2.4k citations indexed

About

John McDaniel is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Orthopedics and Sports Medicine. According to data from OpenAlex, John McDaniel has authored 81 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 32 papers in Complementary and alternative medicine and 24 papers in Orthopedics and Sports Medicine. Recurrent topics in John McDaniel's work include Cardiovascular and exercise physiology (32 papers), Heart Rate Variability and Autonomic Control (28 papers) and Sports Performance and Training (22 papers). John McDaniel is often cited by papers focused on Cardiovascular and exercise physiology (32 papers), Heart Rate Variability and Autonomic Control (28 papers) and Sports Performance and Training (22 papers). John McDaniel collaborates with scholars based in United States, Italy and United Kingdom. John McDaniel's co-authors include Russell S. Richardson, Stephen J. Ives, Ellen L. Glickman, Corey A. Peacock, Gabriel J. Sanders, David J. Kean, Anette S. Fjeldstad, D. Walter Wray, Markus Amann and James C. Martin and has published in prestigious journals such as The Journal of Physiology, Proceedings of the IEEE and The FASEB Journal.

In The Last Decade

John McDaniel

75 papers receiving 2.3k citations

Hit Papers

The Effects of Cold and Lower Body Negative Pressure on C... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John McDaniel United States 27 788 691 436 398 281 81 2.4k
Frank Beckers Netherlands 29 2.9k 3.6× 520 0.8× 134 0.3× 591 1.5× 433 1.5× 95 4.5k
Koichi Okita Japan 30 1.0k 1.3× 999 1.4× 362 0.8× 154 0.4× 737 2.6× 121 2.8k
Dong‐Ho Han United States 28 153 0.2× 184 0.3× 82 0.2× 76 0.2× 2.3k 8.2× 90 3.8k
Joyce M. Evans United States 27 820 1.0× 189 0.3× 67 0.2× 291 0.7× 497 1.8× 82 2.0k
Moh H. Malek United States 33 177 0.2× 570 0.8× 1.1k 2.6× 1.4k 3.5× 486 1.7× 134 3.8k
Mahendra Patel United States 31 126 0.2× 25 0.0× 64 0.1× 55 0.1× 151 0.5× 113 3.3k
Roland Jung United Kingdom 40 523 0.7× 154 0.2× 150 0.3× 102 0.3× 2.0k 7.2× 121 6.1k
Jong‐Shyan Wang Taiwan 38 1.2k 1.5× 965 1.4× 162 0.4× 171 0.4× 814 2.9× 165 4.1k
John B. Charles United States 23 665 0.8× 162 0.2× 25 0.1× 136 0.3× 1.5k 5.3× 116 2.0k
Mehmet Bilgen United States 33 280 0.4× 54 0.1× 86 0.2× 967 2.4× 251 0.9× 144 3.5k

Countries citing papers authored by John McDaniel

Since Specialization
Citations

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

Fields of papers citing papers by John McDaniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John McDaniel

This figure shows the co-authorship network connecting the top 25 collaborators of John McDaniel. A scholar is included among the top collaborators of John McDaniel 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 John McDaniel. John McDaniel 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.
Zidar, David A., Grace A. McComsey, Donald D. Anthony, et al.. (2025). Distinct Cytokine Patterns Identify Acute and Convalescent Myocardial Involvement After Coronavirus Disease 2019: A Multicohort Biomarker Study. The Journal of Infectious Diseases. 231(5). e918–e920.
2.
McDaniel, John, et al.. (2023). Analysis of electrical stimulation and voluntary muscle contraction on skeletal muscle oxygen uptake and mitochondrial recovery using near-infrared spectroscopy. European Journal of Applied Physiology. 123(9). 2053–2061. 1 indexed citations
3.
Durocher, John J., et al.. (2023). Blood flow restriction as a potential therapy to restore physical function following COVID-19 infection. Frontiers in Physiology. 14. 1235172–1235172. 1 indexed citations
4.
McDaniel, John, et al.. (2022). Mechanisms that underlie blood flow regulation at rest and during exercise. AJP Advances in Physiology Education. 47(1). 26–36. 2 indexed citations
5.
Yoon, Tejin, et al.. (2022). Physiological Responses to Acute Cycling With Blood Flow Restriction. Frontiers in Physiology. 13. 800155–800155. 21 indexed citations
7.
Harper, Sara A., et al.. (2019). Comparison of Peak Torque and Aerobic Capacity Asymmetries in the Lower Limbs. 2(1). 2 indexed citations
8.
McDaniel, John, et al.. (2018). Passive limb movement intervals results in repeated hyperemic responses in those with paraplegia. Spinal Cord. 56(10). 940–948. 11 indexed citations
9.
Petersen, Jennifer L., et al.. (2018). The effects of a 7-day water aerobics exercise intervention on the cerebral hyperemic response to a cognitive task in individuals with Multiple Sclerosis. 1(3). 1 indexed citations
10.
McDaniel, John, et al.. (2018). What Lies Beneath: Why Some Pressure Injuries May Be Unpreventable for Individuals With Spinal Cord Injury. Archives of Physical Medicine and Rehabilitation. 100(6). 1042–1049. 16 indexed citations
11.
Kim, Jung‐Hyun, et al.. (2015). The Influence of Exercise on Cognitive Performance in Normobaric Hypoxia. High Altitude Medicine & Biology. 16(4). 298–305. 25 indexed citations
12.
Gunstad, John, et al.. (2015). Exercise Improves Mood State in Normobaric Hypoxia. Aerospace Medicine and Human Performance. 86(11). 976–981. 3 indexed citations
13.
McDaniel, John, et al.. (2014). Cardiovascular responses to counterweighted single-leg cycling: implications for rehabilitation. European Journal of Applied Physiology. 114(5). 961–968. 30 indexed citations
14.
McDaniel, John, et al.. (2013). Bison meat has a lower atherogenic risk than beef in healthy men. Nutrition Research. 33(4). 293–302. 15 indexed citations
15.
Elmer, Steven J., Markus Amann, John McDaniel, David T. Martin, & James C. Martin. (2012). Fatigue is specific to working muscles: no cross-over with single-leg cycling in trained cyclists. European Journal of Applied Physiology. 113(2). 479–488. 29 indexed citations
16.
Fjeldstad, Anette S., John McDaniel, Melissa A. Witman, et al.. (2011). Vascular function and multiple sclerosis. Journal of Neurology. 258(11). 2036–2042. 12 indexed citations
17.
McDaniel, John, et al.. (2010). Attenuated exercise induced hyperaemia with age: mechanistic insight from passive limb movement. The Journal of Physiology. 588(22). 4507–4517. 53 indexed citations
18.
Elmer, Steven J., John McDaniel, & James C. Martin. (2010). Alterations in neuromuscular function and perceptual responses following acute eccentric cycling exercise. European Journal of Applied Physiology. 110(6). 1225–1233. 33 indexed citations
19.
McDaniel, John, et al.. (2009). Limitations of relaxation kinetics on muscular work. Acta Physiologica. 198(2). 191–198. 5 indexed citations
20.
McDaniel, John. (2006). Lightning Protection of Distribution Lines: Things to Consider for a Reliable Design. 2. 1229–1232. 3 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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