Ram Uma

649 citations
17 papers · 466 · h-index 12

Impact in

    • Gestational Diabetes Research and Management
    • Pregnancy and preeclampsia studies
    • Diabetes Management and Research
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Diabetes Management and Education
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients

Papers in

Ram Uma

17 papers receiving 442 citations

Peers

Ram Uma
Comparison fields: 5 of 40
  • Obstetrics and Gynecology 361
  • Endocrinology, Diabetes and Metabolism 71
  • Pediatrics, Perinatology and Child Health 62
  • Surgery 97
  • Pharmacy 7
Replace Arivudainambi Kayal with:
Arivudainambi Kayal Belgium
Carmen Montañez Spain
Cristina Familiar Spain
Edna Stage Denmark
Emilia Huvinen Finland
S.L. Kjos United States
Björg Ásbjörnsdóttir Denmark
Anna Penny United Kingdom
Giovanna Gregori Italy
Qianqian Xu China
Ram Uma relative to Arivudainambi Kayal Belgium Arivudainambi Kayal's profile →
Citations per field
00.5×1.5×2×
Arivudainambi Kayal · 1×
Citations per year

Countries citing papers authored by Ram Uma

Since Specialization
Citations

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

Fields of papers citing papers by Ram Uma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201475
2 201763
3 201551
4 201641
5 201639
6 202132
7 201728
8 201628
9 201626
10 201619
11 201818
12 201618
13 201612
14 20228
15 20234
16 20193
17 20211

About Ram Uma

Ram Uma is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Oncology, Epidemiology and Surgery, having authored 17 papers that have together received 466 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (17 papers), Breastfeeding Practices and Influences (1 paper), Pregnancy and preeclampsia studies (1 paper), COVID-19 and healthcare impacts (1 paper), COVID-19 Impact on Reproduction (1 paper), Epigenetics and DNA Methylation (1 paper), Birth, Development, and Health (1 paper) and Bariatric Surgery and Outcomes (1 paper). The work is most often cited by research in Obstetrics and Gynecology (361 citations), Endocrinology, Diabetes and Metabolism (71 citations), Pediatrics, Perinatology and Child Health (62 citations), Surgery (97 citations) and Pharmacy (7 citations). Ram Uma has collaborated with scholars based in India, Belgium and United Kingdom. Frequent co-authors include Viswanathan Mohan, Balaji Bhavadharini, Belma Malanda, Anne B. Belton, Ranjit Mohan Anjana, Arivudainambi Kayal, Ranjit Unnikrishnan, Kumar Maheswari, Sonak Dinesh Pastakia and Mohan Deepa. Their work appears in journals such as Acta Diabetologica, Journal of Diabetes and its Complications, Molecular Genetics and Genomics, Diabetes Research and Clinical Practice and PLoS ONE.

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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