Dinesh Kumbhare

3.5k total citations
161 papers, 2.4k citations indexed

About

Dinesh Kumbhare is a scholar working on Cell Biology, Pharmacology and Surgery. According to data from OpenAlex, Dinesh Kumbhare has authored 161 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cell Biology, 47 papers in Pharmacology and 27 papers in Surgery. Recurrent topics in Dinesh Kumbhare's work include Musculoskeletal pain and rehabilitation (44 papers), Myofascial pain diagnosis and treatment (40 papers) and Muscle metabolism and nutrition (24 papers). Dinesh Kumbhare is often cited by papers focused on Musculoskeletal pain and rehabilitation (44 papers), Myofascial pain diagnosis and treatment (40 papers) and Muscle metabolism and nutrition (24 papers). Dinesh Kumbhare collaborates with scholars based in Canada, United States and Italy. Dinesh Kumbhare's co-authors include Michael D. Noseworthy, Tatiana Zaraiskaya, Gianni Parise, Tim Snijders, Liza Grosman‐Rimon, William Parkinson, Sara Ahmed, Stuart M. Phillips, John Srbely and Joshua P. Nederveen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

Dinesh Kumbhare

150 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dinesh Kumbhare Canada 27 693 494 494 475 473 161 2.4k
Raoul Saggini Italy 26 261 0.4× 414 0.8× 316 0.6× 309 0.7× 371 0.8× 117 2.0k
Arthur J. Siegel United States 36 622 0.9× 417 0.8× 204 0.4× 1.0k 2.1× 500 1.1× 96 3.9k
Rado Pišot Slovenia 31 295 0.4× 317 0.6× 144 0.3× 1.0k 2.2× 765 1.6× 143 2.9k
Antonio Martínez‐Amat Spain 33 244 0.4× 319 0.6× 422 0.9× 724 1.5× 827 1.7× 138 3.0k
Alain Steve Comtois Canada 28 211 0.3× 189 0.4× 220 0.4× 553 1.2× 426 0.9× 128 2.4k
Pietro Fiore Italy 25 200 0.3× 384 0.8× 213 0.4× 383 0.8× 195 0.4× 113 2.3k
Haiko Sprott Switzerland 28 454 0.7× 241 0.5× 1.4k 2.9× 440 0.9× 226 0.5× 80 2.7k
Boštjan Šimunič Slovenia 30 311 0.4× 262 0.5× 150 0.3× 931 2.0× 1.2k 2.5× 141 2.9k
Roberto Casale Italy 28 185 0.3× 307 0.6× 624 1.3× 625 1.3× 133 0.3× 119 2.5k
Bert O. Eijnde Belgium 34 1.0k 1.5× 147 0.3× 348 0.7× 1.0k 2.2× 644 1.4× 130 4.1k

Countries citing papers authored by Dinesh Kumbhare

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Kumbhare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinesh Kumbhare

This figure shows the co-authorship network connecting the top 25 collaborators of Dinesh Kumbhare. A scholar is included among the top collaborators of Dinesh Kumbhare 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 Dinesh Kumbhare. Dinesh Kumbhare 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.
Négrini, Stefano, Chiara Arienti, Susan Armijo‐Olivo, et al.. (2025). Reporting GUideline for Intervention DEscription in Rehabilitation (GUIDE-Rehab): a tool to open the ‘black box’ of rehabilitation complex interventions. BMJ evidence-based medicine. bmjebm–2025.
2.
Kumbhare, Dinesh, et al.. (2024). Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research. Artificial Intelligence in Medicine. 151. 102849–102849. 5 indexed citations
3.
Rebalka, Irena A., Baraa K. Al‐Khazraji, Zubin Punthakee, et al.. (2024). Targeting skeletal muscle health with exercise in people with type 1 diabetes: A protocol for HOMET1D, a prospective observational trial with matched controls. PLoS ONE. 19(5). e0303448–e0303448. 1 indexed citations
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Hassan, Samah, et al.. (2023). Check It Before You Wreck It: A Guide to STAR-ML for Screening Machine Learning Reporting in Research. IEEE Access. 11. 101567–101579. 2 indexed citations
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Annaswamy, Thiru M., et al.. (2023). Methodological Issues Relevant to Blinding in Physical Medicine and Rehabilitation Research. American Journal of Physical Medicine & Rehabilitation. 102(7). 636–644.
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Noseworthy, Michael D., et al.. (2021). Potential Role of MRI Imaging for Myofascial Pain: A Scoping Review for the Clinicians and Theoretical Considerations. Journal of Pain Research. Volume 14. 1505–1514. 2 indexed citations
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Bent, Leah R., et al.. (2021). Exploring the effect of capsaicin-induced central sensitization on the upper limb nociceptive withdrawal reflex threshold. Experimental Brain Research. 239(11). 3405–3415. 4 indexed citations
12.
deBruin, Hubert, et al.. (2021). The Effect of Exercise on Neural Activation and Cognition: A Review of Task-Based fMRI Studies. Critical Reviews in Biomedical Engineering. 49(2). 21–52. 4 indexed citations
13.
Vadasz, Brian, Daniel W. D. West, Liza Grosman‐Rimon, et al.. (2020). Improving characterization and diagnosis quality of myofascial pain syndrome: a systematic review of the clinical and biomarker overlap with delayed onset muscle soreness. European Journal of Physical and Rehabilitation Medicine. 56(4). 469–478. 9 indexed citations
14.
Clarke, Hance, Michael Poon, Vivek Rao, et al.. (2019). Toward a phenomic analysis of chronic postsurgical pain following cardiac surgery. Canadian Journal of Pain. 3(1). 58–69. 6 indexed citations
15.
Shah, Jay, et al.. (2019). Myofascial Pain Syndrome: A Narrative Review Identifying Inconsistencies in Nomenclature. PM&R. 12(9). 916–925. 14 indexed citations
16.
Bird, Matthew D., Jay Shah, Lynn H. Gerber, et al.. (2018). Characterization of local muscle fiber anisotropy using shear wave elastography in patients with chronic myofascial pain. Annals of Physical and Rehabilitation Medicine. 61. e13–e13.
17.
Kumbhare, Dinesh, et al.. (2018). Quantitative ultrasound of trapezius muscle involvement in myofascial pain: Comparison of clinical and healthy populations using texture analysis. Annals of Physical and Rehabilitation Medicine. 61. e429–e429. 2 indexed citations
18.
Ahmed, Sara, et al.. (2018). Differentiating varying degrees of central sensitization in chronic widespread pain using quantitative ultrasound. Annals of Physical and Rehabilitation Medicine. 61. e430–e430. 1 indexed citations
19.
Kumbhare, Dinesh, Mohammad Alavinia, & Julio C. Furlan. (2018). Hypothesis Testing in Superiority, Noninferiority, and Equivalence Clinical Trials. American Journal of Physical Medicine & Rehabilitation. 98(3). 226–230. 3 indexed citations
20.
Upadhye, Suneel & Dinesh Kumbhare. (2017). Potential Harms With Long-Term Glucocorticoid Use. American Journal of Physical Medicine & Rehabilitation. 97(1). 72–74. 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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