GR Sridhar

2.7k citations
111 papers · 1.7k · h-index 23

Impact in

Papers in

GR Sridhar

100 papers receiving 1.6k citations

Peers

GR Sridhar
Comparison fields: 5 of 147
  • Endocrinology, Diabetes and Metabolism 495
  • Pharmacology 251
  • Physiology 258
  • Health Information Management 45
  • Biological Psychiatry 23
Replace James M Wright with:
James M Wright Canada
Juma Al Kaabi United Arab Emirates
Halla Mustafa United Arab Emirates
Elizabeth D. Kantor United States
Staffan Hägg Sweden
Sudesna Chatterjee United Kingdom
Peter E. Penson United Kingdom
Leon A. Simons Australia
Ensieh Nasli‐Esfahani Iran
Norman Delanty Ireland
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Citations per field
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Citations per year

Countries citing papers authored by GR Sridhar

Since Specialization
Citations

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

Fields of papers citing papers by GR Sridhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000175
2 2007152
3 1994107
4 201587
5 202083
6 201364
7
Impact of medical homes on quality, healthcare utilization, and costs.
201264
8 200646
9 201046
10 200938
11 201438
12 201234
13 201634
14 201331
15 200531
16 201027
17 201727
18 201026
19
Psychosocial aspects of women with polycystic ovary syndrome from south India.
200826
20 200726

About GR Sridhar

GR Sridhar is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Pharmacology and Computational Theory and Mathematics, having authored 111 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes Management and Education (19 papers), Cholinesterase and Neurodegenerative Diseases (13 papers), Chronic Disease Management Strategies (12 papers), Computational Drug Discovery Methods (11 papers), Diabetes Management and Research (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Mental Health Treatment and Access (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (495 citations), Pharmacology (251 citations), Physiology (258 citations), Health Information Management (45 citations) and Biological Psychiatry (23 citations). GR Sridhar has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Allam Appa Rao, Undurti N. Das, Прасад, S. Ch. Agalarov, James R. Williamson, C.D. Stout, Viswanathan Mohan, Venkata Putcha, Chuandong Li and Andrea DeVries. Their work appears in journals such as World Journal of Diabetes, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Lipids in Health and Disease, Metabolic Syndrome and Related Disorders and Journal of General Internal 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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