Umesh Acharya

489 citations
17 papers · 358 · h-index 9

Impact in

Papers in

Umesh Acharya

16 papers receiving 336 citations

Peers

Umesh Acharya
Comparison fields: 5 of 64
  • Reproductive Medicine 247
  • Obstetrics and Gynecology 52
  • Endocrinology, Diabetes and Metabolism 76
  • Public Health, Environmental and Occupational Health 124
  • Cardiology and Cardiovascular Medicine 55
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Citations per field
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Citations per year

Countries citing papers authored by Umesh Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Umesh Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2006121
2 200696
3 199923
4 199321
5 200621
6 200317
7 200814
8 200113
9 200911
10 20176
11 20195
12 20034
13 20072
14 19622
15 19991
16 19631
17
Studies on the effects of protein depletion and of realimentation with diets containing different levels of peanut protein or casein on the composition of liver, muscle and body of young albino rats.
19640

About Umesh Acharya

Umesh Acharya is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 358 indexed citations. Recurring topics across this work include Ovarian function and disorders (8 papers), Assisted Reproductive Technology and Twin Pregnancy (6 papers), Reproductive Biology and Fertility (5 papers), Reproductive Health and Technologies (4 papers), Maternal and Perinatal Health Interventions (2 papers), Lipid metabolism and disorders (2 papers), Biochemical effects in animals (1 paper) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in Reproductive Medicine (247 citations), Obstetrics and Gynecology (52 citations), Endocrinology, Diabetes and Metabolism (76 citations), Public Health, Environmental and Occupational Health (124 citations) and Cardiology and Cardiovascular Medicine (55 citations). Umesh Acharya has collaborated with scholars based in United Kingdom and India. Frequent co-authors include Jonathan Lord, Randal J. Thomas, Terence J. Wilkin, Terry Wilkin, Richard Fleming, A. MacPherson, Lawrence Leeman, Jane E. Norman, Antony Nicoll and D. Stewart Irvine. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, Fertility and Sterility, The Journal of the Royal College of Physicians of Edinburgh, Journal of the Science of Food and Agriculture and Human Reproduction.

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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