JS Thakur

72 papers receiving 2.0k citations

Peers

JS Thakur
Comparison fields: 5 of 150
  • Endocrinology, Diabetes and Metabolism 354
  • Organizational Behavior and Human Resource Management 195
  • Health Information Management 79
  • Public Health, Environmental and Occupational Health 299
  • Finance 109
Replace Sitanshu Sekhar Kar with:
Sitanshu Sekhar Kar India
Wichai Aekplakorn Thailand
Anwar Batieha Jordan
Alireza Delavari Iran
Shuchi Anand United States
Mohan Deepa India
Koorosh Etemad Iran
Siamak Alikhani Iran
Samuel Kingué Cameroon
Rodrigo M. Carrillo‐Larco Peru
JS Thakur relative to Sitanshu Sekhar Kar India Sitanshu Sekhar Kar's profile →
Citations per field
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Sitanshu Sekhar Kar · 1×
Citations per year

Countries citing papers authored by JS Thakur

Since Specialization
Citations

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

Fields of papers citing papers by JS Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017160
2 2017141
3 2016119
4 2010110
5 201092
6 201189
7 201386
8 200879
9 201173
10 201670
11 199665
12 201162
13
Key recommendations of high-level expert group report on universal health coverage for India.
201162
14 201059
15 201657
16 201850
17 201547
18 201444
19 201743
20 202041

About JS Thakur

JS Thakur is a scholar working on Organizational Behavior and Human Resource Management, Public Health, Environmental and Occupational Health, Epidemiology, Pediatrics, Perinatology and Child Health and Finance, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Global Public Health Policies and Epidemiology (18 papers), Healthcare Systems and Reforms (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Global Health and Epidemiology (6 papers), Chronic Disease Management Strategies (4 papers), Bone health and osteoporosis research (3 papers), Global Maternal and Child Health (3 papers) and Smoking Behavior and Cessation (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (354 citations), Organizational Behavior and Human Resource Management (195 citations), Health Information Management (79 citations), Public Health, Environmental and Occupational Health (299 citations) and Finance (109 citations). JS Thakur has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Gursimer Jeet, Sanjay Jain, Shankar Prinja, Jaya Prasad Tripathy, Meenu Singh, Sanjay Kumar Bhadada, Nata Menabde, Anil Bhansali, Arnab Pal and Pinaki Dutta. Their work appears in journals such as PLoS ONE, The Lancet Global Health, Diabetes & Metabolic Syndrome Clinical Research & Reviews, BMJ Open and Journal of Epidemiology & Community Health.

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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