Shekhar Kunal

854 total citations
56 papers, 447 citations indexed

About

Shekhar Kunal is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Shekhar Kunal has authored 56 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 17 papers in Cardiology and Cardiovascular Medicine and 16 papers in Surgery. Recurrent topics in Shekhar Kunal's work include COVID-19 Clinical Research Studies (12 papers), Long-Term Effects of COVID-19 (9 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers). Shekhar Kunal is often cited by papers focused on COVID-19 Clinical Research Studies (12 papers), Long-Term Effects of COVID-19 (9 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers). Shekhar Kunal collaborates with scholars based in India, United States and Italy. Shekhar Kunal's co-authors include Ashok Shah, Pranav Ish, Pirabu Sakthivel, Mohit Gupta, Vishal Batra, Ankit Bansal, Nipun Malhotra, Anubha Gupta, Jamal Yusuf and Saibal Mukhopadhyay and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shekhar Kunal

51 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shekhar Kunal India 11 171 148 125 99 89 56 447
Gregorio Tersalvi Switzerland 11 226 1.3× 257 1.7× 127 1.0× 89 0.9× 55 0.6× 32 502
Benjamin Rohn Germany 13 103 0.6× 141 1.0× 91 0.7× 96 1.0× 29 0.3× 37 431
Vrinda Trivedi United States 10 173 1.0× 161 1.1× 114 0.9× 91 0.9× 35 0.4× 16 419
Yael Lichter Israel 8 314 1.8× 246 1.7× 237 1.9× 40 0.4× 87 1.0× 24 542
Wally Omar United States 8 139 0.8× 176 1.2× 77 0.6× 79 0.8× 45 0.5× 11 424
Veraprapas Kittipibul United States 11 127 0.7× 157 1.1× 43 0.3× 124 1.3× 37 0.4× 60 405
Sanjeev Kumar India 9 126 0.7× 81 0.5× 75 0.6× 129 1.3× 153 1.7× 109 496
Juan Caro‐Codón Spain 10 229 1.3× 179 1.2× 172 1.4× 37 0.4× 29 0.3× 33 424
Tauseef Akhtar United States 10 66 0.4× 242 1.6× 55 0.4× 58 0.6× 35 0.4× 38 410
Ahmet Lütfullah Orhan Türkiye 13 108 0.6× 336 2.3× 65 0.5× 112 1.1× 54 0.6× 50 524

Countries citing papers authored by Shekhar Kunal

Since Specialization
Citations

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

Fields of papers citing papers by Shekhar Kunal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shekhar Kunal

This figure shows the co-authorship network connecting the top 25 collaborators of Shekhar Kunal. A scholar is included among the top collaborators of Shekhar Kunal 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 Shekhar Kunal. Shekhar Kunal 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.
Gupta, Mohit, Shekhar Kunal, Manu Kumar Shetty, et al.. (2025). Comparative evaluation of machine learning models versus TIMI score in ST-segment-elevation myocardial infarction patients. Indian Heart Journal. 77(3). 133–141.
2.
Kunal, Shekhar, et al.. (2024). Serial evaluation of biventricular function in COVID-19 recovered patients using speckle tracking echocardiography. Indian Heart Journal. 76(4). 297–302. 1 indexed citations
4.
Gupta, Mohit, Shekhar Kunal, M.P. Girish, et al.. (2023). Impact of COVID-19 vaccination on mortality after acute myocardial infarction. PLoS ONE. 18(9). e0291090–e0291090. 1 indexed citations
5.
Nanavati, Ruchi, et al.. (2023). Multisystem inflammatory syndrome in neonates (MIS-N): a systematic review. European Journal of Pediatrics. 182(5). 2283–2298. 7 indexed citations
6.
Gupta, Nitesh, Nipun Malhotra, Shekhar Kunal, & Pranav Ish. (2022). Management of bronchial asthma in 2021. Monaldi Archives for Chest Disease. 92(4). 1 indexed citations
7.
Sakthivel, Pirabu, Pranav Ish, & Shekhar Kunal. (2022). MIS-A after COVID-19: Points to Ponder. Indian Journal of Critical Care Medicine. 26(4). 533–533. 2 indexed citations
8.
Arora, Sameer, Muthiah Vaduganathan, Gregg C. Fonarow, et al.. (2022). Prevalence and Prognostic Implications of Reduced Left Ventricular Ejection Fraction Among Patients with STEMI in India. ESC Heart Failure. 9(6). 3836–3845. 8 indexed citations
9.
Kunal, Shekhar, Ankit Bansal, Manu Kumar Shetty, et al.. (2022). Heart rate variability as a marker of cardiovascular dysautonomia in post-COVID-19 syndrome using artificial intelligence. Indian Pacing and Electrophysiology Journal. 22(2). 70–76. 49 indexed citations
10.
Kunal, Shekhar, et al.. (2021). Global implication of booster doses of COVID-19 vaccine. Infezioni in Medicina. 29(4). 643–647. 3 indexed citations
11.
Kunal, Shekhar, et al.. (2021). Very late stent thrombosis associated with COVID-19 infection: a case report and review of the literature. Monaldi Archives for Chest Disease. 92(2). 2 indexed citations
12.
Bansal, Ankit, Mohit Gupta, M.P. Girish, et al.. (2021). Prevalence and patterns of coronary artery anomalies in 28,800 adult patients undergoing angiography in a large tertiary care centre in India. Monaldi Archives for Chest Disease. 92(3). 3 indexed citations
13.
Malhotra, Nipun & Shekhar Kunal. (2020). The Catch-22 of the COVID-19 “Lockdown”. Advances in respiratory medicine. 88(3). 285–286. 3 indexed citations
14.
Kunal, Shekhar, et al.. (2020). Cardiovascular system and COVID-19: perspectives from a developing country. SHILAP Revista de lepidopterología. 90(2). 27 indexed citations
15.
Kunal, Shekhar, et al.. (2019). Superior vena cava syndrome due to pacemaker leads: an Indian report with a review of management practices. Monaldi Archives for Chest Disease. 89(1).
16.
Kunal, Shekhar, et al.. (2019). Warfarin-induced diffuse alveolar hemorrhage: Case report and a review of the literature. Lung India. 36(6). 534–534. 3 indexed citations
17.
Kunal, Shekhar, et al.. (2017). Occurrence of Bronchial Anthracofibrosis in Respiratory Symptomatics with Exposure to Biomass Fuel Smoke. Advances in respiratory medicine. 85(3). 127–135. 7 indexed citations
18.
Kunal, Shekhar, Sudhir Jain, & Ashok Shah. (2017). Middle lobe syndrome: An exceptional presentation of concomitant lepidic adenocarcinoma and bronchial anthracofibrosis. Monaldi Archives for Chest Disease. 87(3). 864–864.
19.
Kunal, Shekhar, Ashok Shah, & Avi Kumar. (2017). Frequency and effect of type 1 hypersensitivity in patients from India with chronic obstructive pulmonary disease and associated upper airways symptoms. Asia Pacific Allergy. 7(4). 199–205. 3 indexed citations
20.
Shah, Ashok & Shekhar Kunal. (2017). A review of 42 asthmatic children with allergic bronchopulmonary aspergillosis. Asia Pacific Allergy. 7(3). 148–155. 9 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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