Latika Gupta

4.6k total citations
205 papers, 2.2k citations indexed

About

Latika Gupta is a scholar working on Epidemiology, Rheumatology and Immunology. According to data from OpenAlex, Latika Gupta has authored 205 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Epidemiology, 63 papers in Rheumatology and 25 papers in Immunology. Recurrent topics in Latika Gupta's work include Inflammatory Myopathies and Dermatomyositis (63 papers), Rheumatoid Arthritis Research and Therapies (21 papers) and Spondyloarthritis Studies and Treatments (18 papers). Latika Gupta is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (63 papers), Rheumatoid Arthritis Research and Therapies (21 papers) and Spondyloarthritis Studies and Treatments (18 papers). Latika Gupta collaborates with scholars based in India, United Kingdom and United States. Latika Gupta's co-authors include Vikas Agarwal, Ashish Goel, Durga Prasanna Misra, R Naveen, Olena Zimba, Rohit Aggarwal, Pankti Mehta, Amita Aggarwal, Armen Yuri Gasparyan and Sakir Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Annals of the Rheumatic Diseases.

In The Last Decade

Latika Gupta

180 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Latika Gupta India 23 606 507 261 257 234 205 2.2k
Durga Prasanna Misra India 27 226 0.4× 689 1.4× 179 0.7× 123 0.5× 326 1.4× 197 2.7k
T.A. Duong France 24 383 0.6× 619 1.2× 356 1.4× 83 0.3× 178 0.8× 83 3.4k
Sharon B. Murphy United States 39 273 0.5× 184 0.4× 279 1.1× 246 1.0× 170 0.7× 112 4.5k
Jason Madan United Kingdom 26 515 0.8× 160 0.3× 471 1.8× 75 0.3× 385 1.6× 133 2.9k
Michael S. Broder United States 40 976 1.6× 772 1.5× 994 3.8× 227 0.9× 544 2.3× 248 8.7k
Rebecca Grainger New Zealand 25 108 0.2× 506 1.0× 458 1.8× 126 0.5× 279 1.2× 140 2.3k
László Gulàcsi Hungary 34 413 0.7× 450 0.9× 924 3.5× 218 0.8× 69 0.3× 251 3.8k
Arash Mostaghimi United States 30 597 1.0× 201 0.4× 399 1.5× 72 0.3× 235 1.0× 262 3.7k
Márta Péntek Hungary 33 364 0.6× 427 0.8× 584 2.2× 219 0.9× 47 0.2× 203 3.2k
Olena Zimba Ukraine 20 95 0.2× 262 0.5× 161 0.6× 125 0.5× 420 1.8× 100 1.6k

Countries citing papers authored by Latika Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Latika Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Latika Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Latika Gupta. A scholar is included among the top collaborators of Latika Gupta 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 Latika Gupta. Latika Gupta 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.
Venerito, Vincenzo, Latika Gupta, Steven J. Mileto, Florenzo Iannone, & Emre Bılgın. (2025). Ethical challenges and regulatory pathways for artificial intelligence in rheumatology. Rheumatology Advances in Practice. 9(2). rkaf035–rkaf035.
2.
Sen, Parikshit, et al.. (2024). Digital approaches in myositis. Health Policy and Technology. 13(4). 100906–100906. 1 indexed citations
3.
Sheeran, Thomas, et al.. (2024). Management of bone health in idiopathic inflammatory myopathies: A two‐center audit in the United Kingdom and Hong Kong. International Journal of Rheumatic Diseases. 27(9). e15268–e15268. 1 indexed citations
4.
Tseng, Chih‐Wei, et al.. (2024). Statin‐associated muscle symptoms: A comprehensive exploration of epidemiology, pathophysiology, diagnosis, and clinical management strategies. International Journal of Rheumatic Diseases. 27(9). e15337–e15337. 10 indexed citations
5.
Benlidayı, İlke Coşkun, et al.. (2024). Exercise for improving bone health in patients with AIRDs: Understanding underlying biology and physiology. International Journal of Rheumatic Diseases. 27(11). e15402–e15402. 1 indexed citations
6.
Newell, Richard G., et al.. (2024). The social media Infodemic of health-related misinformation and technical solutions. Health Policy and Technology. 13(2). 100846–100846. 24 indexed citations
7.
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
8.
Gupta, Latika, et al.. (2023). VITAMIN D3 AND Α-TOCOPHEROL ACETATE AMELIORATE INFLAMMATORY AND FIBROTIC PROCESSES IN SYSTEMIC SCLEROSIS: PRECLINICAL EVIDENCE. Research Explorer (The University of Manchester). 71(1). 1 indexed citations
9.
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.
10.
Ziadé, Nelly, et al.. (2023). The Impact of Social Media on Vaccination: A Narrative Review. Journal of Korean Medical Science. 38(40). e326–e326. 25 indexed citations
11.
Gupta, Latika, Martin Krusche, Vincenzo Venerito, & Thomas Hügle. (2023). Harnessing the potential of digital rheumatology. Health Policy and Technology. 12(1). 100730–100730. 1 indexed citations
12.
Porcelli, Brunetta, Miriana d’Alessandro, Latika Gupta, et al.. (2023). Anti-Cytosolic 5′-Nucleotidase 1A in the Diagnosis of Patients with Suspected Idiopathic Inflammatory Myopathies: An Italian Real-Life, Single-Centre Retrospective Study. Biomedicines. 11(7). 1963–1963. 3 indexed citations
13.
Chatterjee, Tulika, et al.. (2023). The Cultural Context of Plagiarism and Research Misconduct in the Asian Region. Journal of Korean Medical Science. 38(12). e88–e88. 14 indexed citations
14.
15.
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
16.
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
17.
Naveen, R, et al.. (2021). COVID-19 and Myositis: What We Know So Far. Current Rheumatology Reports. 23(8). 63–63. 85 indexed citations
18.
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
19.
Ahmed, Sakir & Latika Gupta. (2020). SOCIAL MEDIA FOR MEDICAL JOURNALS. SHILAP Revista de lepidopterología. 1(1). 26–32. 12 indexed citations
20.

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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