Urmila Thatte

2.8k citations
88 papers · 1.9k · h-index 22

Impact in

Papers in

Urmila Thatte

82 papers receiving 1.8k citations

Peers

Urmila Thatte
Comparison fields: 5 of 187
  • Complementary and alternative medicine 495
  • Pharmacology 237
  • Applied Microbiology and Biotechnology 32
  • Toxicology 53
  • Microbiology 88
Replace Nithya Gogtay with:
Nithya Gogtay India
Yong Soo Kwon South Korea
Trina Ekawati Tallei Indonesia
Pooi‐Fong Wong Malaysia
Merlin Willcox United Kingdom
Jiajie Zhang China
Yu Shi China
Shekoufeh Nikfar Iran
Mohammad Ali India
Jixiang Zhang China
Urmila Thatte relative to Nithya Gogtay India Nithya Gogtay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Urmila Thatte

Since Specialization
Citations

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

Fields of papers citing papers by Urmila Thatte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999364
2
Principles of Correlation Analysis.
2017236
3
Modulation of programmed cell death by medicinal plants.
200096
4 199779
5 201372
6 200763
7 199960
8 199759
9 201245
10 198644
11 201142
12 201337
13 201236
14 201233
15 201228
16 200928
17 201327
18
NS-2330 (Neurosearch).
200127
19 201826
20
Heavy metals in 'herbal' medicines.
200325

About Urmila Thatte

Urmila Thatte is a scholar working on Public Health, Environmental and Occupational Health, Pharmacology, Complementary and alternative medicine, Pharmacology and General Health Professions, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ethics in Clinical Research (11 papers), Biomedical Ethics and Regulation (9 papers), Phytochemicals and Medicinal Plants (8 papers), Pharmacovigilance and Adverse Drug Reactions (8 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Ethics in medical practice (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Malaria Research and Control (6 papers). The work is most often cited by research in Complementary and alternative medicine (495 citations), Pharmacology (237 citations), Applied Microbiology and Biotechnology (32 citations), Toxicology (53 citations) and Microbiology (88 citations). Urmila Thatte has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sharadini A. Dahanukar, Nirmala Rege, Nitin Gogtay, Nithya Gogtay, S A Dahanukar, Supriya Bhalerao, Piero Olliaro, David Sinclair, Renuka Munshi and Sandipan Ray. Their work appears in journals such as Journal of Proteomics, Phytotherapy Research, Vaccine, The Indian Journal of Medical Research and BMC Complementary and Alternative Medicine.

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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