Sanjeev Roy

625 citations
24 papers · 460 · h-index 11

Impact in

  • Biomaterials top 10%
    • Phytochemistry and Bioactive Compounds
  • Pharmacology top 10%
    • Phytochemistry and Bioactivity Studies
    • Pharmacological Effects of Natural Compounds

Papers in

Sanjeev Roy

23 papers receiving 416 citations

Peers

Sanjeev Roy
Comparison fields: 5 of 79
  • Biomaterials 143
  • Pharmacology 79
  • Complementary and alternative medicine 52
  • Pathology and Forensic Medicine 105
  • Toxicology 13
Replace Su‐Yu Chien with:
Su‐Yu Chien Taiwan
Run-Yue Huang China
Ying Piao China
Rongling Zhong China
Thu‐Huyen Pham South Korea
Chandrasekaran Guruvayoorappan India
Naoshad Muhammad United States
Angela Cisneros United States
Seung Hwa Son South Korea
Sanjeev Roy relative to Su‐Yu Chien Taiwan Su‐Yu Chien's profile →
Citations per field
00.5×6.8×
Su‐Yu Chien · 1×
Citations per year

Countries citing papers authored by Sanjeev Roy

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005131
2 200773
3 201639
4 202036
5 200632
6 200829
7 202227
8 202225
9 202222
10 202310
11 202110
12 20236
13 20194
14 20243
15 20253
16 20202
17 20222
18 20211
19 20201
20 20211

About Sanjeev Roy

Sanjeev Roy is a scholar working on Pathology and Forensic Medicine, Rheumatology, Immunology, Neurology and Oncology, having authored 24 papers that have together received 460 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (10 papers), Phytochemistry and Bioactive Compounds (4 papers), Systemic Lupus Erythematosus Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Biomaterials (143 citations), Pharmacology (79 citations), Complementary and alternative medicine (52 citations), Pathology and Forensic Medicine (105 citations) and Toxicology (13 citations). Sanjeev Roy has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Vijay L. Kumar, Biswa Mohan Padhy, Rachna Sehgal, Vijay Kumar, Volker Jean Wagner, Martin Ullmann, Francesco Patti, María Trojano, Andrea Visconti and Tim Mant. Their work appears in journals such as Neurology, CPT Pharmacometrics & Systems Pharmacology, Therapeutic Advances in Neurological Disorders, Neurology Neuroimmunology & Neuroinflammation and Multiple Sclerosis and Related Disorders.

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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