Nicholas Rolnick

609 total citations
51 papers, 353 citations indexed

About

Nicholas Rolnick is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Nicholas Rolnick has authored 51 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Complementary and alternative medicine, 36 papers in Cardiology and Cardiovascular Medicine and 12 papers in Surgery. Recurrent topics in Nicholas Rolnick's work include Cardiovascular and exercise physiology (42 papers), Heart Rate Variability and Autonomic Control (28 papers) and Hemodynamic Monitoring and Therapy (10 papers). Nicholas Rolnick is often cited by papers focused on Cardiovascular and exercise physiology (42 papers), Heart Rate Variability and Autonomic Control (28 papers) and Hemodynamic Monitoring and Therapy (10 papers). Nicholas Rolnick collaborates with scholars based in United States, Brazil and United Kingdom. Nicholas Rolnick's co-authors include Victor Sabino de Queirós, Brad J. Schöenfeld, Dahan da Cunha Nascimento, Ivo Vieira de Sousa Neto, Richard Severin, Christopher R. Brandner, Mikhail Santos Cerqueira, Breno Guilherme de Araújo Tinôco Cabral, Paulo Moreira Silva Dantas and Evi Wezenbeek and has published in prestigious journals such as PLoS ONE, British Journal of Sports Medicine and International Journal of Environmental Research and Public Health.

In The Last Decade

Nicholas Rolnick

45 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Rolnick United States 10 275 248 87 86 28 51 353
Joshua T. Slysz Canada 9 283 1.0× 222 0.9× 106 1.2× 54 0.6× 35 1.3× 14 372
Masato Sugaya Japan 4 370 1.3× 273 1.1× 146 1.7× 36 0.4× 28 1.0× 7 408
Ben Rosenblatt United Kingdom 3 416 1.5× 298 1.2× 191 2.2× 164 1.9× 34 1.2× 3 551
Marty D. Spranger United States 11 377 1.4× 418 1.7× 57 0.7× 79 0.9× 16 0.6× 19 521
Keith George United Kingdom 10 141 0.5× 337 1.4× 104 1.2× 37 0.4× 34 1.2× 17 485
Abhinav C. Krishnan United States 8 291 1.1× 299 1.2× 45 0.5× 62 0.7× 14 0.5× 15 379
Jenna L. Taylor Australia 10 287 1.0× 302 1.2× 42 0.5× 28 0.3× 31 1.1× 29 467
M. Cautero Italy 12 373 1.4× 278 1.1× 182 2.1× 47 0.5× 16 0.6× 19 511
A. Hannequin France 10 235 0.9× 259 1.0× 26 0.3× 43 0.5× 62 2.2× 15 438
Rogério Bulhões Corvino Brazil 10 195 0.7× 139 0.6× 156 1.8× 27 0.3× 25 0.9× 17 298

Countries citing papers authored by Nicholas Rolnick

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Rolnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Rolnick

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Rolnick. A scholar is included among the top collaborators of Nicholas Rolnick 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 Nicholas Rolnick. Nicholas Rolnick 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.
Suso‐Martí, Luis, Rubén López‐Bueno, Pedro Gargallo, et al.. (2025). Effects of Blood Flow Restriction Training on Strength and Functionality in People With Knee Arthropathies: A Systematic Review and Dose‐Response Meta‐Analysis of Randomized Controlled Trials. Translational Sports Medicine. 2025(1). 3663009–3663009.
2.
Queirós, Victor Sabino de, et al.. (2025). Evaluating the effectiveness of blood flow restriction training in older adults: An overview of systematic reviews. Sports Medicine and Health Science.
3.
Rolnick, Nicholas. (2025). Manuscript Clarification for Sullivan VE, Ares AP, Cook SB. Cardiorespiratory, metabolic, and perceptual responses to blood flow restricted running in female distance runners. The Journal of Strength and Conditioning Research. 39(8). 949–949. 1 indexed citations
5.
Rolnick, Nicholas. (2024). Unpacking the blood flow restriction device features literature: autoregulation. Frontiers in Sports and Active Living. 6. 1455277–1455277. 1 indexed citations
7.
Rolnick, Nicholas, et al.. (2024). Hypoalgesia and Conditioned Pain Modulation in Blood Flow Restriction Resistance Exercise. International Journal of Sports Medicine. 45(11). 810–819. 1 indexed citations
8.
Rolnick, Nicholas. (2024). Unpacking the blood flow restriction device features literature: multi-chambered bladder design. Frontiers in Sports and Active Living. 6. 1457539–1457539. 4 indexed citations
9.
Nascimento, Dahan da Cunha, et al.. (2024). A quasi-experimental study on the energy expenditure, exercise intensity, and rating of perceived exertion of a male bodybuilding posing training. Applied Physiology Nutrition and Metabolism. 49(11). 1529–1538. 2 indexed citations
10.
Queirós, Victor Sabino de, Nicholas Rolnick, Magno F. Formiga, et al.. (2024). Body position and cuff size influence lower limb arterial occlusion pressure and its predictors: implications for standardizing the pressure applied in training with blood flow restriction. Frontiers in Physiology. 15. 1446963–1446963. 2 indexed citations
11.
Nascimento, Dahan da Cunha, et al.. (2023). Blood pressure response to dynamic resistance exercise with different times under blood flow restriction on normotensive subjects: a randomized crossover trial. Revista Brasileira de Fisiologia do Exercício. 21(4). 217–231.
13.
Rolnick, Nicholas, et al.. (2023). Autoregulated and Non-Autoregulated Blood Flow Restriction on Acute Arterial Stiffness. International Journal of Sports Medicine. 45(1). 23–32. 11 indexed citations
14.
Scott, Brendan R., et al.. (2023). An Updated Panorama of Blood-Flow-Restriction Methods. International Journal of Sports Physiology and Performance. 18(12). 1461–1465. 11 indexed citations
15.
Scott, Brendan R., Kieran J. Marston, Johnny G. Owens, Nicholas Rolnick, & Stephen D. Patterson. (2023). Current Implementation and Barriers to Using Blood Flow Restriction Training: Insights From a Survey of Allied Health Practitioners. The Journal of Strength and Conditioning Research. 38(3). 481–490. 11 indexed citations
17.
Schöenfeld, Brad J., et al.. (2023). Fiber-Type-Specific Hypertrophy with the Use of Low-Load Blood Flow Restriction Resistance Training: A Systematic Review. Journal of Functional Morphology and Kinesiology. 8(2). 51–51. 7 indexed citations
18.
Neto, Ivo Vieira de Sousa, Dahan da Cunha Nascimento, Jonato Prestes, et al.. (2022). Initial Muscle Quality Affects Individual Responsiveness of Interleukin-6 and Creatine Kinase following Acute Eccentric Exercise in Sedentary Obese Older Women. Biology. 11(4). 537–537. 7 indexed citations
19.
Nascimento, Dahan da Cunha, et al.. (2022). A Useful Blood Flow Restriction Training Risk Stratification for Exercise and Rehabilitation. Frontiers in Physiology. 13. 808622–808622. 38 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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