Sunil Agarwal

17 papers receiving 3.1k citations

Sunil Agarwal's Hit Papers

Omalizumab for the Treatment of Chronic Idiopathic or Spontaneous Urticaria 2013 · 730 citations
7300+6+12Years since publication50010001.5k

Peers

Sunil Agarwal
Comparison fields: 5 of 84
  • Pathology and Forensic Medicine 1.6k
  • Rheumatology 911
  • Immunology 1.1k
  • Genetics 315
  • Neurology 428
Replace Craig H. Smith with:
Craig H. Smith United States
Gavin Giovannoni United Kingdom
Masha Fridkis‐Hareli United States
Ronit Bakimer Israel
Nicolas Molnarfi Switzerland
Steven C. Ziesmer United States
Chiaki Nakaseko Japan
Sylvain Fisson France
Naoyoshi Mori Japan
Taku Yoshio Japan
Sunil Agarwal relative to Craig H. Smith United States Craig H. Smith's profile →
Citations per field
00.5×2.7×
Craig H. Smith · 1×
Citations per year

Countries citing papers authored by Sunil Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sunil 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 Sunil Agarwal Line = papers co-authored together Sunil Agarwal links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
B-Cell Depletion with Rituximab in Relapsing–Remitting Multiple Sclerosis
Hit paper breakdown →
20081803
2
Omalizumab for the Treatment of Chronic Idiopathic or Spontaneous Urticaria
Hit paper breakdown →
2013730
3 2008424
4 201952
5 200837
6 202131
7 201912
8 200312
9 202111
10 20089
11 20178
12 20183
13 20142
14 20131
15 19801
16 20081
17 20221
18 20230

About Sunil Agarwal

Sunil Agarwal is a scholar working on Rheumatology, Surgery, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 3.1k indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Multiple Sclerosis Research Studies (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Foreign Body Medical Cases (1 paper), Vascular Procedures and Complications (1 paper), Polyomavirus and related diseases (1 paper) and Direction-of-Arrival Estimation Techniques (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (1.6k citations), Rheumatology (911 citations), Immunology (1.1k citations), Genetics (315 citations) and Neurology (428 citations). Sunil Agarwal has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Craig H. Smith, Neena Sarkar, Robert J. Fox, Douglas L. Arnold, Emmanuelle Waubant, Amit Bar‐Or, Michael Panzara, Jack P. Antel, Annette Langer‐Gould and Stephen L. Hauser. Their work appears in journals such as New England Journal of Medicine, Cells Tissues Organs, Thrombosis Research, Journal of the American College of Cardiology and Circulation.

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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