Omprakash Singh

486 citations
29 papers · 355 · h-index 11

Impact in

Papers in

Omprakash Singh

27 papers receiving 346 citations

Peers

Omprakash Singh
Comparison fields: 5 of 82
  • Endocrine and Autonomic Systems 133
  • Sensory Systems 40
  • Developmental Biology 10
  • Endocrinology, Diabetes and Metabolism 73
  • Nutrition and Dietetics 59
Replace Marina A. Silveira with:
Marina A. Silveira Brazil
José de Anchieta C. Horta‐Júnior Brazil
Ivonne Bazwinsky Germany
Maria Billert Poland
Fabienne Liénard France
Elvis Espero United States
Waldemar Grzegorzewski Poland
Saori Miyagishi Japan
Natalie J. Michael United States
J. Skipor Poland
Omprakash Singh relative to Marina A. Silveira Brazil Marina A. Silveira's profile →
Citations per field
00.5×1.7×
Marina A. Silveira · 1×
Citations per year

Countries citing papers authored by Omprakash Singh

Since Specialization
Citations

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

Fields of papers citing papers by Omprakash Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202160
2 201352
3 201732
4 202127
5 201624
6 201820
7 201617
8 202316
9 201513
10 201910
11 201410
12 202410
13 202010
14 20188
15 20197
16 20217
17 20236
18 20245
19 20224
20 20164

About Omprakash Singh

Omprakash Singh is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Nutrition and Dietetics, Physiology and Reproductive Medicine, having authored 29 papers that have together received 355 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (15 papers), Biochemical Analysis and Sensing Techniques (7 papers), Adipose Tissue and Metabolism (7 papers), Neurobiology and Insect Physiology Research (6 papers), Hypothalamic control of reproductive hormones (5 papers), Neuropeptides and Animal Physiology (3 papers), Ion Channels and Receptors (3 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (133 citations), Sensory Systems (40 citations), Developmental Biology (10 citations), Endocrinology, Diabetes and Metabolism (73 citations) and Nutrition and Dietetics (59 citations). Omprakash Singh has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Praful S. Singru, Uday Singh, Santosh Kumar, Jeffrey M. Zigman, Sugandha Agarwal, Nathan P. Metzger, Deepali Gupta, Kripa Shankar, Salil Varshney and Sherri Osborne‐Lawrence. Their work appears in journals such as The Journal of Comparative Neurology, Endocrinology, Molecular Metabolism, Neuroscience and Brain Structure and Function.

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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