Mita Lovalekar

2.2k total citations
117 papers, 1.5k citations indexed

About

Mita Lovalekar is a scholar working on Occupational Therapy, Orthopedics and Sports Medicine and Pharmacology. According to data from OpenAlex, Mita Lovalekar has authored 117 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Occupational Therapy, 67 papers in Orthopedics and Sports Medicine and 37 papers in Pharmacology. Recurrent topics in Mita Lovalekar's work include Occupational Health and Performance (74 papers), Sports injuries and prevention (54 papers) and Musculoskeletal pain and rehabilitation (35 papers). Mita Lovalekar is often cited by papers focused on Occupational Health and Performance (74 papers), Sports injuries and prevention (54 papers) and Musculoskeletal pain and rehabilitation (35 papers). Mita Lovalekar collaborates with scholars based in United States, Australia and United Kingdom. Mita Lovalekar's co-authors include Timothy C. Sell, Scott M. Lephart, John P. Abt, Bradley C. Nindl, Takashi Nagai, Kim Beals, Karen A. Keenan, Christopher Connaboy, Brian J. Martin and Michael D. Wirt and has published in prestigious journals such as Scientific Reports, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Mita Lovalekar

107 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mita Lovalekar United States	23	740	643	349	251	204	117	1.5k
Airi Oksanen Finland	18	284 0.4×	414 0.6×	732 2.1×	115 0.5×	259 1.3×	28	1.4k
K. Neergaard Denmark	12	455 0.6×	286 0.4×	339 1.0×	190 0.8×	273 1.3×	21	1.2k
Heli Valkeinen Finland	17	583 0.8×	183 0.3×	332 1.0×	199 0.8×	64 0.3×	29	1.8k
Erika Zemková Slovakia	22	906 1.2×	86 0.1×	191 0.5×	342 1.4×	125 0.6×	129	1.7k
Xanne Janse de Jonge Australia	24	1.6k 2.2×	116 0.2×	196 0.6×	455 1.8×	247 1.2×	50	2.7k
Jeffery S. Staab United States	19	377 0.5×	279 0.4×	70 0.2×	131 0.5×	41 0.2×	42	967
Shala E. Davis United States	22	914 1.2×	119 0.2×	60 0.2×	644 2.6×	182 0.9×	55	1.8k
Jason D. Vescovi United States	31	2.4k 3.2×	172 0.3×	128 0.4×	663 2.6×	195 1.0×	66	2.9k
Andrew Murray United Kingdom	22	1.2k 1.7×	134 0.2×	52 0.1×	293 1.2×	128 0.6×	53	2.0k
Hsin‐Yi Kathy Cheng Taiwan	21	276 0.4×	63 0.1×	197 0.6×	186 0.7×	142 0.7×	65	1.1k

Countries citing papers authored by Mita Lovalekar

Since Specialization

Citations

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

Fields of papers citing papers by Mita Lovalekar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mita Lovalekar

This figure shows the co-authorship network connecting the top 25 collaborators of Mita Lovalekar. A scholar is included among the top collaborators of Mita Lovalekar 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 Mita Lovalekar. Mita Lovalekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lovalekar, Mita, et al.. (2026). Subclinically low BMD in young men is associated with compromised bone microarchitecture and lower lean mass. Journal of the Endocrine Society. 10(3). bvag003–bvag003. 1 indexed citations

Koltun, Kristen J., Mita Lovalekar, Brian J. Martin, et al.. (2025). Identifying a digital phenotype of allostatic load: association between allostatic load index score and wearable physiological response during military training. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 329(6). R946–R958.

Koltun, Kristen J., Mita Lovalekar, Brian J. Martin, et al.. (2025). Association of allostatic load measured by allostatic load index on physical performance and psychological responses during arduous military training. Physiological Reports. 13(6). e70273–e70273. 4 indexed citations

Koltun, Kristen J., et al.. (2025). Advancing the allostatic load model in military training research: from theory to application. Frontiers in Physiology. 16. 1638451–1638451.

Lovalekar, Mita, et al.. (2024). Micronutrient Status During Military Training and Associations With Musculoskeletal Health, Injury, and Readiness Outcomes. International Journal of Sport Nutrition and Exercise Metabolism. 34(6). 378–386. 2 indexed citations

Koltun, Kristen J., et al.. (2024). Low psychological resilience and physical fitness predict attrition from US Marine Corps Officer Candidate School training. Military Psychology. 37(6). 517–526. 2 indexed citations

Koltun, Kristen J., Adam J. Sterczala, Brian J. Martin, et al.. (2024). Effect of acute resistance exercise on bone turnover in young adults before and after concurrent resistance and interval training. Physiological Reports. 12(3). e15906–e15906. 4 indexed citations

Hughes, Julie M., Adam J. Sterczala, Mita Lovalekar, et al.. (2023). Utility of HR-pQCT in detecting training-induced changes in healthy adult bone morphology and microstructure. Frontiers in Physiology. 14. 1266292–1266292.

Beckner, Meaghan E., William R. Conkright, Mita Lovalekar, et al.. (2023). Military tactical adaptive decision making during simulated military operational stress is influenced by personality, resilience, aerobic fitness, and neurocognitive function. Frontiers in Psychology. 14. 1102425–1102425. 4 indexed citations

10.

Beckner, Meaghan E., William R. Conkright, Shawn R. Eagle, et al.. (2021). Impact of simulated military operational stress on executive function relative to trait resilience, aerobic fitness, and neuroendocrine biomarkers. Physiology & Behavior. 236. 113413–113413. 29 indexed citations

11.

Dretsch, Michael N., Christopher Connaboy, Mita Lovalekar, et al.. (2020). Structural Connectome Disruptions in Military Personnel with Mild Traumatic Brain Injury and Post-Traumatic Stress Disorder. Journal of Neurotrauma. 37(19). 2102–2112. 14 indexed citations

12.

Lovalekar, Mita, et al.. (2020). Incidence and pattern of musculoskeletal injuries among women and men during Marine Corps training in sex-integrated units. Journal of science and medicine in sport. 23(10). 932–936. 17 indexed citations

13.

Nagai, Takashi, et al.. (2018). Physical Fitness Predictors of a Warrior Task Simulation Test. The Journal of Strength and Conditioning Research. 32(9). 2562–2568. 9 indexed citations

14.

Flanagan, Shawn D., Aaron M. Sinnott, Caleb D. Johnson, et al.. (2018). Prediction of exertional lower extremity musculoskeletal injury in tactical populations: protocol for a systematic review and planned meta-analysis of prospective studies from 1955 to 2018. Systematic Reviews. 7(1). 1 indexed citations

15.

Connaboy, Christopher, et al.. (2018). THE EFFECT OF LOADED FATIGUE ON LOADED POSTURAL STABILITY. D-Scholarship@Pitt (University of Pittsburgh). 9(6). 71. 1 indexed citations

16.

Nagle, Elizabeth F., et al.. (2018). Association of Body Composition to Aerobic Capacity and Swimming Performance in Adult Fitness Swimmers. TopSCHOLAR (Western Kentucky University). 9(6). 113.

17.

Nagai, Takashi, et al.. (2017). Poor anaerobic power/capability and static balance predicted prospective musculoskeletal injuries among Soldiers of the 101st Airborne (Air Assault) Division. Journal of science and medicine in sport. 20. S11–S16. 15 indexed citations

18.

Lovalekar, Mita, et al.. (2017). Accuracy of recall of musculoskeletal injuries in elite military personnel: a cross-sectional study. BMJ Open. 7(12). e017434–e017434. 25 indexed citations

19.

Lovalekar, Mita, Karen A. Keenan, Yue‐Fang Chang, et al.. (2017). Using the capture–recapture method to estimate the incidence of musculoskeletal injuries among U.S. Army soldiers. Journal of science and medicine in sport. 20. S23–S27. 1 indexed citations

20.

Abt, John P., Timothy C. Sell, Mita Lovalekar, et al.. (2014). Injury Epidemiology of U.S. Army Special Operations Forces. Military Medicine. 179(10). 1106–1112. 61 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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