Amit Singh

1.1k citations
103 papers · 726 · h-index 16

Impact in

Papers in

Amit Singh

90 papers receiving 698 citations

Peers

Amit Singh
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 109
  • Clinical Psychology 133
  • Complementary and alternative medicine 34
  • Biological Psychiatry 10
  • Behavioral Neuroscience 10
Replace Caitlin Daly with:
Caitlin Daly United Kingdom
Dara A. Aldisi Saudi Arabia
Alberto Farinetti Italy
Juan Manuel Mendive Spain
Felipe Mendes Delpino Brazil
Ilaria Goitre Italy
Carolyn E. Bain United States
Nicole Cossrow United States
Nafiza Mat Nasir Malaysia
Adriyan Pramono Indonesia
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Citations per field
00.5×1.7×
Caitlin Daly · 1×
Citations per year

Countries citing papers authored by Amit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Amit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202037
2 202034
3 202032
4 201928
5 202026
6 202026
7 202122
8 202021
9
Hyperuricemia, High Serum Urea and Hypoproteinemia are the Risk Factor for Diabetes
200920
10 202120
11 201918
12 202018
13 201717
14 202217
15 202216
16 202116
17 202014
18 202114
19 201714
20 202314

About Amit Singh

Amit Singh is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Psychology, Cardiology and Cardiovascular Medicine, Physiology and Public Health, Environmental and Occupational Health, having authored 103 papers that have together received 726 indexed citations. Recurring topics across this work include Mindfulness and Compassion Interventions (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Dietary Effects on Health (7 papers), Diabetes Management and Education (7 papers), Heart Rate Variability and Autonomic Control (7 papers), COVID-19 and Mental Health (5 papers), Pharmacology and Obesity Treatment (4 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (109 citations), Clinical Psychology (133 citations), Complementary and alternative medicine (34 citations), Biological Psychiatry (10 citations) and Behavioral Neuroscience (10 citations). Amit Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Raghuram Nagarathna, Hongasandra Ramarao Nagendra, Akshay Anand, Suchitra S. Patil, Kashinath Metri, Hugh Alberti, Vivek Podder, Sriloy Mohanty, Padmini Tekur and Vijaya Majumdar. Their work appears in journals such as Diabetes Research and Clinical Practice, Frontiers in Public Health, Dermatology Research and Practice, Frontiers in Endocrinology and BMJ Open.

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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