Pooja Bhati

587 total citations
40 papers, 388 citations indexed

About

Pooja Bhati is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Biomedical Engineering. According to data from OpenAlex, Pooja Bhati has authored 40 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 14 papers in Complementary and alternative medicine and 10 papers in Biomedical Engineering. Recurrent topics in Pooja Bhati's work include Heart Rate Variability and Autonomic Control (15 papers), Cardiovascular and exercise physiology (14 papers) and Muscle activation and electromyography studies (7 papers). Pooja Bhati is often cited by papers focused on Heart Rate Variability and Autonomic Control (15 papers), Cardiovascular and exercise physiology (14 papers) and Muscle activation and electromyography studies (7 papers). Pooja Bhati collaborates with scholars based in India, Saudi Arabia and New Zealand. Pooja Bhati's co-authors include M. Ejaz Hussain, Jamal Ali Moiz, Shweta Shenoy, Geetha R. Menon, Shalini Verma, Deepika Singla, Rizwan Alam, Shahnawaz Anwer, Sarfaraz Masood and Ahmad H. Alghadir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physical Activity and Health and Diabetes & Metabolic Syndrome Clinical Research & Reviews.

In The Last Decade

Pooja Bhati

36 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pooja Bhati India 11 205 163 107 68 62 40 388
Νικόλαος Κουτλιάνος Greece 12 223 1.1× 208 1.3× 81 0.8× 203 3.0× 34 0.5× 47 481
C. Lynne Dobrovolny United States 8 114 0.6× 163 1.0× 110 1.0× 38 0.6× 55 0.9× 8 825
Hélcio Kanegusuku Brazil 15 133 0.6× 116 0.7× 80 0.7× 36 0.5× 103 1.7× 51 565
A.V. Bisconti Italy 12 134 0.7× 98 0.6× 94 0.9× 211 3.1× 39 0.6× 30 471
Nuttaset Manimmanakorn Thailand 13 167 0.8× 226 1.4× 39 0.4× 188 2.8× 39 0.6× 31 585
Amanda Brown Brazil 9 82 0.4× 145 0.9× 50 0.5× 149 2.2× 57 0.9× 21 469
Mohammed Alkatan United States 12 196 1.0× 79 0.5× 30 0.3× 29 0.4× 54 0.9× 19 423
Paula J. Stotz Canada 9 112 0.5× 223 1.4× 53 0.5× 119 1.8× 22 0.4× 10 516
Kenji A. Kenno Canada 11 163 0.8× 138 0.8× 46 0.4× 303 4.5× 28 0.5× 24 617
Alex Souto Maior Brazil 13 172 0.8× 272 1.7× 94 0.9× 330 4.9× 25 0.4× 48 615

Countries citing papers authored by Pooja Bhati

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Bhati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Bhati

This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Bhati. A scholar is included among the top collaborators of Pooja Bhati 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 Pooja Bhati. Pooja Bhati 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.
Bhati, Pooja, et al.. (2023). Progressive resistance training ameliorates deteriorating cardiac autonomic dysfunction, subclinical inflammation and endothelial dysfunction in type 2 diabetes mellitus: A randomized control trial. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 17(5). 102778–102778. 13 indexed citations
2.
Aggarwal, Priya, Bhawna Narwal, Amar Kumar Mohapatra, & Pooja Bhati. (2023). Digital Twin in the Aviation Industry and the Role of Machine Learning: A Review. Lecture notes in networks and systems. 445–455.
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Bhati, Pooja, Deepika Singla, Sarfaraz Masood, & M. Ejaz Hussain. (2021). Type 2 Diabetes Mellitus Patients Manifest Greater Muscle Fatigability Than Healthy Individuals During Dynamic Fatigue Protocol. Journal of Manipulative and Physiological Therapeutics. 44(3). 205–220. 4 indexed citations
6.
Bhati, Pooja & M. Ejaz Hussain. (2021). Impact of resistance training on muscle fatigue in type 2 diabetes mellitus patients during dynamic fatigue protocol. Physiotherapy Theory and Practice. 39(1). 26–38. 1 indexed citations
7.
Bhati, Pooja, et al.. (2020). Influence of Forward Head Posture on Cervicocephalic Kinesthesia and Electromyographic Activity of Neck Musculature in Asymptomatic Individuals. Journal of Chiropractic Medicine. 19(4). 230–240. 29 indexed citations
8.
Fatima, Sadaf, et al.. (2020). Electromyographic Activity of Hip Musculature During Functional Exercises in Participants With and Without Chronic Ankle Instability. Journal of Chiropractic Medicine. 19(1). 82–90. 15 indexed citations
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Bhati, Pooja, Rizwan Alam, Jamal Ali Moiz, & M. Ejaz Hussain. (2019). Subclinical inflammation and endothelial dysfunction are linked to cardiac autonomic neuropathy in type 2 diabetes. Journal of Diabetes & Metabolic Disorders. 18(2). 419–428. 22 indexed citations
11.
Bhati, Pooja, Jamal Ali Moiz, Irshad H. Naqvi, & M. Ejaz Hussain. (2019). Diagnostic performance of resting and post-exercise heart rate variability for detecting cardiac autonomic neuropathy in type 2 diabetes mellitus. Autonomic Neuroscience. 219. 53–65. 8 indexed citations
12.
Moiz, Jamal Ali, et al.. (2019). Diagnostic Validity of Cardiopulmonary Exercise Testing for Screening Pulmonary Hypertension in Patients With Chronic Obstructive Pulmonary Disease. Journal of Cardiopulmonary Rehabilitation and Prevention. 40(3). 189–194. 7 indexed citations
13.
Bhati, Pooja & M. Ejaz Hussain. (2019). Sleep duration is a significant predictor of cardiac autonomic neuropathy in type 2 diabetes mellitus. Primary care diabetes. 13(5). 452–461. 9 indexed citations
14.
Verma, Shalini, et al.. (2018). Co-Existence of hypertension worsens post-exercise cardiac autonomic recovery in type 2 diabetes. Indian Heart Journal. 70. S82–S89. 6 indexed citations
15.
Bhati, Pooja, et al.. (2018). Heart Rate Variability following Combined Aerobic and Resistance Training in Sedentary Hypertensive Women: A Randomised Control Trial. Indian Heart Journal. 70. S28–S35. 50 indexed citations
16.
Bhati, Pooja, et al.. (2018). Lumbar Muscle Activation Pattern During Forward and Backward Walking in Participants With and Without Chronic Low Back Pain: An Electromyographic Study. Journal of Chiropractic Medicine. 17(4). 217–225. 13 indexed citations
17.
Singla, Deepika, et al.. (2018). Reliability of Electromyographic Assessment of Biceps Brachii and Triceps Brachii in Cricketers. Journal of Chiropractic Medicine. 17(3). 151–159. 5 indexed citations
18.
Bhati, Pooja, Jamal Ali Moiz, Geetha R. Menon, & M. Ejaz Hussain. (2018). Does resistance training modulate cardiac autonomic control? A systematic review and meta-analysis. Clinical Autonomic Research. 29(1). 75–103. 49 indexed citations
19.
Bhati, Pooja, et al.. (2017). Comparison of different volumes of high intensity interval training on cardiac autonomic function in sedentary young women. International Journal of Adolescent Medicine and Health. 31(6). 15 indexed citations
20.
Bhati, Pooja, Shweta Shenoy, & M. Ejaz Hussain. (2017). Exercise training and cardiac autonomic function in type 2 diabetes mellitus: A systematic review. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 12(1). 69–78. 56 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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