Uma Ram

900 citations
11 papers · 379 · 2 hit papers · h-index 8

Impact in

Papers in

Uma Ram

11 papers receiving 369 citations

Uma Ram's Hit Papers

Pathophysiology from preconception, during pregnancy, and beyond 2024 · 50 citations
500+1Years since publication4080120

Peers

Uma Ram
Comparison fields: 5 of 55
  • Obstetrics and Gynecology 287
  • Pediatrics, Perinatology and Child Health 118
  • Endocrinology, Diabetes and Metabolism 63
  • Public Health, Environmental and Occupational Health 90
  • Surgery 108
Replace Suzette Coat with:
Suzette Coat Australia
John G. Manderson United Kingdom
Oscar A. Viteri United States
Sine Knorr Denmark
Emilia Huvinen Finland
Celeste Durnwald United States
I. Pharisien France
Maria Alice Souza de Oliveira Dode Brazil
Hatice Kansu-Celik Türkiye
Maria Amélia Campos Brazil
Uma Ram relative to Suzette Coat Australia Suzette Coat's profile →
Citations per field
00.5×4.5×
Suzette Coat · 1×
Citations per year

Countries citing papers authored by Uma Ram

Since Specialization
Citations

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

Fields of papers citing papers by Uma Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Epidemiology and management of gestational diabetes
Hit paper breakdown →
2024124
2 202055
3
Pathophysiology from preconception, during pregnancy, and beyond
Hit paper breakdown →
202450
4 201647
5 201644
6 201924
7 201415
8 202114
9 20234
10 20251
11 20171

About Uma Ram

Uma Ram is a scholar working on Obstetrics and Gynecology, Surgery, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 379 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (9 papers), Pregnancy and preeclampsia studies (6 papers), Bariatric Surgery and Outcomes (4 papers), Birth, Development, and Health (3 papers), Diabetes Management and Research (2 papers), Ovarian function and disorders (1 paper), Prenatal Substance Exposure Effects (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Obstetrics and Gynecology (287 citations), Pediatrics, Perinatology and Child Health (118 citations), Endocrinology, Diabetes and Metabolism (63 citations), Public Health, Environmental and Occupational Health (90 citations) and Surgery (108 citations). Uma Ram has collaborated with scholars based in India, United Kingdom and Belgium. Frequent co-authors include Christopher J. Nolan, Helena Bäckman, David Simmons, Claire L. Meek, Patrick M. Catalano, Jincy Immanuel, Arianne Sweeting, Katrien Benhalima, Marie‐France Hivert and Viswanathan Mohan. Their work appears in journals such as The Lancet, Journal of the Indian Institute of Science, Canadian Journal of Diabetes, Endocrine Practice and Archives of Women s Mental Health.

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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