GR Sridhar

2.7k citations
132 papers · 1.9k · h-index 23

Impact in

Papers in

GR Sridhar

113 papers receiving 1.7k citations

Peers

GR Sridhar
Comparison fields: 5 of 143
  • Endocrinology, Diabetes and Metabolism 442
  • Pharmacology 246
  • Health Information Management 64
  • Health Informatics 14
  • Physiology 232
Replace Juma Al Kaabi with:
Juma Al Kaabi United Arab Emirates
Halla Mustafa United Arab Emirates
Brian Corrigan United States
Weichung Joe Shih United States
Sandosh Padmanabhan United Kingdom
Mohsen Moohebati Iran
Guy Fagherazzi France
Sudesna Chatterjee United Kingdom
Concepción M. Aguilera Spain
Ju‐Chi Liu Taiwan
GR Sridhar relative to Juma Al Kaabi United Arab Emirates Juma Al Kaabi's profile →
Citations per field
00.5×10×12.6×
Juma Al Kaabi · 1×
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 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000178
2 2007154
3 1994123
4 201593
5 202090
6
Impact of medical homes on quality, healthcare utilization, and costs.
201265
7 201362
8 200653
9 201047
10 200942
11 201442
12 201636
13 201234
14
A clinical decision support system using multilayer perceptron neural network to assess well being in diabetes.
200934
15 201334
16 200532
17 201731
18 201029
19 200727
20
Psychosocial aspects of women with polycystic ovary syndrome from south India.
200827

About GR Sridhar

GR Sridhar is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology, Physiology and Epidemiology, having authored 132 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes Management and Education (19 papers), Cholinesterase and Neurodegenerative Diseases (15 papers), Computational Drug Discovery Methods (10 papers), Diabetes Management and Research (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Machine Learning in Bioinformatics (6 papers), Bioinformatics and Genomic Networks (6 papers) and Artificial Intelligence in Healthcare (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (442 citations), Pharmacology (246 citations), Health Information Management (64 citations), Health Informatics (14 citations) and Physiology (232 citations). GR Sridhar has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Allam Appa Rao, Undurti N. Das, S. Ch. Agalarov, C.D. Stout, James R. Williamson, Viswanathan Mohan, Venkata Putcha, Chuandong Li, Lydia Chwastiak and Nikhil Tandon. Their work appears in journals such as Metabolic Syndrome and Related Disorders, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Lipids in Health and Disease, World Journal of Diabetes 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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