Vikas Agarwal

9.6k citations
405 papers · 6.7k · h-index 39

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Rheumatology top 0.5%
    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • Osteoarthritis Treatment and Mechanisms

Papers in

Vikas Agarwal

368 papers receiving 6.4k citations

Peers

Vikas Agarwal
Comparison fields: 5 of 170
  • Health Informatics 294
  • Rheumatology 1.1k
  • Infectious Diseases 648
  • Health Information Management 244
  • Nephrology 249
Replace Durga Prasanna Misra with:
Durga Prasanna Misra India
Nicole Skoetz Germany
Gabriela Schmajuk United States
Keith D. Lillemoe United States
Akbar K. Waljee United States
Jinoos Yazdany United States
Joel M. Gelfand United States
Bruno Fautrel France
Gianluca Pellino Italy
Matthew D. F. McInnes Canada
Vikas Agarwal relative to Durga Prasanna Misra India Durga Prasanna Misra's profile →
Citations per field
00.5×2×4×6×8×10.0×
Durga Prasanna Misra · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Vikas Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vikas Agarwal Line = papers co-authored together Vikas Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 405 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016275
2 2022235
3 2020208
4 2021181
5 2020161
6 2010144
7 2020137
8 2007109
9 202092
10 202087
11 201183
12 202078
13 200775
14 201870
15 201067
16 202167
17 201066
18 202166
19 200561
20
Pyrexia of unknown origin: a prospective study of 100 cases.
200260

About Vikas Agarwal

Vikas Agarwal is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Infectious Diseases and Epidemiology, having authored 405 papers that have together received 6.7k indexed citations. Recurring topics across this work include Vasculitis and related conditions (39 papers), Rheumatoid Arthritis Research and Therapies (34 papers), Inflammatory Myopathies and Dermatomyositis (28 papers), Systemic Lupus Erythematosus Research (25 papers), Systemic Sclerosis and Related Diseases (23 papers), Spondyloarthritis Studies and Treatments (14 papers), Renal Diseases and Glomerulopathies (13 papers) and COVID-19 diagnosis using AI (13 papers). The work is most often cited by research in Health Informatics (294 citations), Rheumatology (1.1k citations), Infectious Diseases (648 citations), Health Information Management (244 citations) and Nephrology (249 citations). Vikas Agarwal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Durga Prasanna Misra, Latika Gupta, Ramnath Misra, Amita Aggarwal, Olena Zimba, Armen Yuri Gasparyan, Able Lawrence, Aman Sharma, Anupam Wakhlu and Upendra Rathore. Their work appears in journals such as Clinical Rheumatology, Lara D. Veeken, Journal of Korean Medical Science, Lupus and Nephrology Dialysis Transplantation.

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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