Subhranil Saha

86 papers receiving 290 citations

Peers

Subhranil Saha
Comparison fields: 5 of 79
  • Complementary and alternative medicine 170
  • Drug Discovery 1
  • Complementary and Manual Therapy 11
  • Dermatology 27
  • Statistics, Probability and Uncertainty 19
Replace Munmun Koley with:
Munmun Koley India
Lex Rutten India
Richa Singhal India
Byungmook Lim South Korea
Flávio Dantas Brazil
Chaturbhuja Nayak India
Stefanie Maxion‐Bergemann Germany
Antony Porcino Canada
E. Ernst United Kingdom
Shi-Bing Liang China
Subhranil Saha relative to Munmun Koley India Munmun Koley's profile →
Citations per field
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Munmun Koley · 1×
Citations per year

Countries citing papers authored by Subhranil Saha

Since Specialization
Citations

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

Fields of papers citing papers by Subhranil Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201322
2 201412
3 201411
4 201510
5 201510
6 20159
7 20198
8 20157
9 20197
10 20147
11 20157
12 20166
13 20196
14 20136
15 20146
16 20156
17 20205
18 20145
19 20185
20 20215

About Subhranil Saha

Subhranil Saha is a scholar working on Complementary and alternative medicine, Public Health, Environmental and Occupational Health, Pharmacology, Dermatology and General Health Professions, having authored 102 papers that have together received 316 indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (65 papers), Dermatology and Skin Diseases (10 papers), Meta-analysis and systematic reviews (10 papers), Pain Management and Placebo Effect (9 papers), Allergic Rhinitis and Sensitization (8 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Plant-based Medicinal Research (6 papers) and Acupuncture Treatment Research Studies (6 papers). The work is most often cited by research in Complementary and alternative medicine (170 citations), Drug Discovery (1 citation), Complementary and Manual Therapy (11 citations), Dermatology (27 citations) and Statistics, Probability and Uncertainty (19 citations). Subhranil Saha has collaborated with scholars based in India, Netherlands and Switzerland. Frequent co-authors include Munmun Koley, Shubhamoy Ghosh, Chaturbhuja Nayak, Aloke Kumar Ghosh, James Michael, Rajarshi Mukherjee, Mohan Giri, Navin Singh, Parthasarathi Chakraborty and Neeraj Gupta. Their work appears in journals such as Homeopathy, Journal of Traditional and Complementary Medicine, Journal of Integrative Medicine, Complementary Therapies in Medicine and World Allergy Organization Journal.

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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