Vikas Agarwal

9.6k total citations
372 papers, 5.1k citations indexed

About

Vikas Agarwal is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Vikas Agarwal has authored 372 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Rheumatology, 74 papers in Pulmonary and Respiratory Medicine and 70 papers in Epidemiology. Recurrent topics in Vikas Agarwal's work include Systemic Lupus Erythematosus Research (46 papers), Vasculitis and related conditions (44 papers) and Rheumatoid Arthritis Research and Therapies (40 papers). Vikas Agarwal is often cited by papers focused on Systemic Lupus Erythematosus Research (46 papers), Vasculitis and related conditions (44 papers) and Rheumatoid Arthritis Research and Therapies (40 papers). Vikas Agarwal collaborates with scholars based in India, United States and United Kingdom. Vikas Agarwal's co-authors include Durga Prasanna Misra, Ramnath Misra, Latika Gupta, Amita Aggarwal, Olena Zimba, Able Lawrence, Armen Yuri Gasparyan, Aman Sharma, Anupam Wakhlu and Upendra Rathore and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Vikas Agarwal

339 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikas Agarwal India 34 1.3k 792 712 682 647 372 5.1k
Michael S. Broder United States 40 772 0.6× 819 1.0× 1.0k 1.5× 976 1.4× 544 0.8× 248 8.7k
Varda Shalev Israel 42 510 0.4× 616 0.8× 941 1.3× 920 1.3× 342 0.5× 215 6.4k
Yi–Ju Chen Taiwan 49 1.1k 0.8× 696 0.9× 882 1.2× 1.6k 2.4× 247 0.4× 246 7.8k
Durga Prasanna Misra India 27 689 0.5× 756 1.0× 195 0.3× 226 0.3× 326 0.5× 197 2.7k
Xavier Bosch Spain 52 2.0k 1.5× 1.8k 2.3× 3.3k 4.6× 1.5k 2.2× 802 1.2× 420 11.5k
David J. Cohen United States 43 361 0.3× 1.1k 1.4× 2.8k 3.9× 751 1.1× 310 0.5× 152 7.0k
K A Fleming United Kingdom 49 386 0.3× 710 0.9× 1.1k 1.6× 2.3k 3.4× 772 1.2× 188 6.8k
Ruchika Gupta India 30 348 0.3× 791 1.0× 1.2k 1.7× 757 1.1× 175 0.3× 431 4.6k
Russell E. Ware United States 63 712 0.5× 671 0.8× 558 0.8× 812 1.2× 827 1.3× 410 15.7k
John M. Weiner United States 40 390 0.3× 921 1.2× 767 1.1× 1.1k 1.6× 192 0.3× 170 6.7k

Countries citing papers authored by Vikas Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Agarwal. A scholar is included among the top collaborators of Vikas Agarwal 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 Vikas Agarwal. Vikas Agarwal 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.
Agarwal, Vikas, et al.. (2025). Autophagy in myositis, a dysregulated pathway, and a target for therapy. Autoimmunity Reviews. 24(7). 103817–103817.
2.
Dutta, A. K., Ankita Hiwale, Neha Singh, et al.. (2025). Angiopoietin-like protein 2 mediates vasculopathy-driven fibrogenesis in a mouse model of systemic sclerosis. Journal of Clinical Investigation. 135(15).
3.
Misra, Durga Prasanna, Upendra Rathore, Prabhakar Mishra, et al.. (2024). Prevalence, Predictors, and Prognosis of Serious Infections in Takayasu Arteritis: A Cohort Study. The Journal of Rheumatology. 51(12). 1187–1192. 2 indexed citations
4.
Gupta, Latika, Hui Lu, Elizabeth Bowler, et al.. (2024). Assessing the sensitivity and specificity of myositis-specific and associated autoantibodies: a sub-study from the MyoCite cohort. Lara D. Veeken. 63(9). 2363–2371. 4 indexed citations
5.
Tomelleri, Alessandro, Chengappa Kavadichanda, Kritika Singh, et al.. (2023). POS0708 VALIDATION OF THE REVISED 2022 AMERICAN COLLEGE OF RHEUMATOLOGY/ EULAR CLASSIFICATION CRITERIA FOR TAKAYASU ARTERITIS. Annals of the Rheumatic Diseases. 82. 639–640. 1 indexed citations
6.
Mehta, Pankti, Harshit Singh, Alok Nath, et al.. (2023). Peripheral T helper subset profiling in idiopathic inflammatory myositis: Proof of concept. Reumatología Clínica (English Edition). 19(3). 143–149.
7.
8.
Misra, Durga Prasanna, Prabhakar Mishra, Upendra Rathore, et al.. (2023). Paediatric-onset Takayasu's arteritis associates with worse survival than adult-onset Takayasu's arteritis. A matched retrospective cohort study. Clinical and Experimental Rheumatology. 42(4). 914–922. 8 indexed citations
9.
Misra, Durga Prasanna, et al.. (2023). Tuberculosis remains a leading contributor to morbidity due to serious infections in Indian patients of SLE. Clinical Rheumatology. 42(8). 2079–2090. 3 indexed citations
10.
11.
Mishra, Prabhakar, Upendra Rathore, Kritika Singh, et al.. (2023). Increased mortality rate in Takayasu arteritis is largely driven by cardiovascular disease: a cohort study. Lara D. Veeken. 63(12). 3337–3345. 8 indexed citations
12.
Joshi, Mrudula, R Naveen, Vikas Agarwal, et al.. (2023). Assessment of quality and reliability of YouTube videos for patient and physician education on inflammatory myositis. Clinical Rheumatology. 42(5). 1339–1349. 10 indexed citations
13.
Sen, Parikshit, R Naveen, Arvind Nune, et al.. (2023). Post-COVID-19 condition in patients with autoimmune rheumatic diseases: the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study. The Lancet Rheumatology. 5(5). e247–e250. 6 indexed citations
14.
Joshi, Mrudula, Latika Gupta, Marlen Yessirkepov, et al.. (2022). Knowledge and Perceptions of Reactive Arthritis Diagnosis and Management Among Healthcare Workers During the COVID-19 Pandemic: Online Survey. Journal of Korean Medical Science. 37(50). e355–e355. 9 indexed citations
15.
Misra, Durga Prasanna, Upendra Rathore, Prabhakar Mishra, et al.. (2022). Comparison of Presentation and Prognosis of Takayasu Arteritis with or without Stroke or Transient Ischemic Attack—A Retrospective Cohort Study. Life. 12(11). 1904–1904. 15 indexed citations
16.
Yessirkepov, Marlen, Olena Zimba, Armen Yuri Gasparyan, et al.. (2022). Physicians’ perceptions about antineutrophil cytoplasmic antibody-associated vasculitis: an online survey report in the time of the COVID-19 pandemic. Clinical Rheumatology. 42(3). 831–837. 9 indexed citations
17.
Agarwal, Vikas, et al.. (2021). COVID-19, hydroxychloroquine and sudden cardiac death: implications for clinical practice in patients with rheumatic diseases. Rheumatology International. 41(2). 257–273. 3 indexed citations
18.
19.
Viswanathan, Vijay, Ankush D. Jamthikar, Deep Gupta, et al.. (2020). Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan Study. Angiology. 71(10). 920–933. 13 indexed citations
20.
Gupta, Vikas, Amita Aggarwal, Ranjan Gupta, et al.. (2017). Differences between adult and pediatric onset Henoch‐Schonlein purpura from North India. International Journal of Rheumatic Diseases. 21(1). 292–298. 18 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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