Ram Uma

624 total citations
16 papers, 421 citations indexed

About

Ram Uma is a scholar working on Obstetrics and Gynecology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ram Uma has authored 16 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Obstetrics and Gynecology, 10 papers in Surgery and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ram Uma's work include Gestational Diabetes Research and Management (16 papers), Bariatric Surgery and Outcomes (9 papers) and Pregnancy and preeclampsia studies (8 papers). Ram Uma is often cited by papers focused on Gestational Diabetes Research and Management (16 papers), Bariatric Surgery and Outcomes (9 papers) and Pregnancy and preeclampsia studies (8 papers). Ram Uma collaborates with scholars based in India, Belgium and United States. Ram Uma's co-authors include Viswanathan Mohan, Balaji Bhavadharini, Belma Malanda, Anne Belton, Arivudainambi Kayal, Ranjit Mohan Anjana, Ranjit Unnikrishnan, Kumar Maheswari, M. Mahalakshmi and Sonak Pastakia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Research and Clinical Practice.

In The Last Decade

Ram Uma

16 papers receiving 399 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ram Uma India 12 356 169 116 112 39 16 421
Arivudainambi Kayal Belgium 10 311 0.9× 154 0.9× 87 0.8× 95 0.8× 54 1.4× 10 354
Cristina Familiar Spain 8 342 1.0× 206 1.2× 118 1.0× 74 0.7× 81 2.1× 24 449
Judith Pousada Brazil 5 287 0.8× 136 0.8× 121 1.0× 67 0.6× 31 0.8× 5 363
Ute Schäfer‐Graf Germany 9 262 0.7× 125 0.7× 104 0.9× 74 0.7× 48 1.2× 64 339
Carmen Montañez Spain 9 334 0.9× 173 1.0× 105 0.9× 62 0.6× 78 2.0× 13 426
Balaji Bhavadharini India 17 570 1.6× 274 1.6× 166 1.4× 199 1.8× 82 2.1× 31 683
Breda Kirwan Ireland 9 300 0.8× 165 1.0× 105 0.9× 69 0.6× 31 0.8× 12 337
P. Brydon United Kingdom 7 314 0.9× 107 0.6× 173 1.5× 65 0.6× 35 0.9× 9 405
J.S.D. Nicholls United Kingdom 8 313 0.9× 165 1.0× 151 1.3× 93 0.8× 18 0.5× 12 378
Pilar Martínez-Del-Fresno Spain 6 289 0.8× 123 0.7× 129 1.1× 62 0.6× 67 1.7× 9 332

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-authorship network of co-authors of Ram Uma

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Uma. A scholar is included among the top collaborators of Ram Uma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ram Uma. Ram Uma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Hannah, Wesley, Mohan Deepa, Yonas Ghebremichael‐Weldeselassie, et al.. (2022). Prevalence of prediabetes and type 2 diabetes mellitus in south and southeast Asian women with history of gestational diabetes mellitus: Systematic review and meta-analysis. PLoS ONE. 17(12). e0278919–e0278919. 6 indexed citations
2.
Hannah, Wesley, Balaji Bhavadharini, Hannah Beks, et al.. (2021). Global burden of early pregnancy gestational diabetes mellitus (eGDM): A systematic review. Acta Diabetologica. 59(3). 403–427. 23 indexed citations
3.
Bhavadharini, Balaji, et al.. (2021). Survey of Diabetologists and Obstetricians’ Practice Patterns Related to Care for Gestational Diabetes Mellitus During the COVID-19 Pandemic in India. SHILAP Revista de lepidopterología. 12(Suppl 1). S59–S65. 1 indexed citations
4.
Sudha, Vasudevan, Balaji Bhavadharini, Rajagopal Gayathri, et al.. (2019). Association of whole grains, dairy and dietary fibre with neonatal outcomes in women with gestational diabetes mellitus: The WINGS project (WINGS – 12). SHILAP Revista de lepidopterología. 10(3). 127–127. 3 indexed citations
5.
Jayashri, Ramamoorthy, Kuppan Gokulakrishnan, Kaliyaperumal Velmurugan, et al.. (2018). 1,5 Anhydroglucitol in gestational diabetes mellitus. Journal of Diabetes and its Complications. 33(3). 231–235. 15 indexed citations
6.
Mohan, Viswanathan, Balaji Bhavadharini, Mohan Deepa, et al.. (2017). Gestational weight gain and pregnancy outcomes in relation to body mass index in Asian Indian women. Indian Journal of Endocrinology and Metabolism. 21(4). 588–588. 58 indexed citations
7.
Kanthimathi, Sekar, Manickam Chidambaram, Dhanasekaran Bodhini, et al.. (2017). Association of recently identified type 2 diabetes gene variants with Gestational Diabetes in Asian Indian population. Molecular Genetics and Genomics. 292(3). 585–591. 25 indexed citations
8.
Mohan, Viswanathan, Arivudainambi Kayal, Belma Malanda, et al.. (2016). Women in India with Gestational Diabetes Mellitus Strategy (WINGS): Methodology and development of model of care for gestational diabetes mellitus (WINGS 4). Indian Journal of Endocrinology and Metabolism. 20(5). 707–707. 23 indexed citations
9.
Bhavadharini, Balaji, Ranjit Mohan Anjana, M. Mahalakshmi, et al.. (2016). Glucose tolerance status of Asian Indian women with gestational diabetes at 6weeks to 1year postpartum (WINGS-7). Diabetes Research and Clinical Practice. 117. 22–27. 28 indexed citations
10.
Bhavadharini, Balaji, M. Mahalakshmi, Ranjit Mohan Anjana, et al.. (2016). Prevalence of Gestational Diabetes Mellitus in urban and rural Tamil Nadu using IADPSG and WHO 1999 criteria (WINGS 6). PubMed. 2(1). 8–8. 37 indexed citations
11.
Mohan, Viswanathan, Balaji Bhavadharini, Kumar Maheswari, et al.. (2016). Comparison of maternal and fetal outcomes among Asian Indian pregnant women with or without gestational diabetes mellitus: A situational analysis study (WINGS-3). Indian Journal of Endocrinology and Metabolism. 20(4). 491–491. 16 indexed citations
12.
Mohan, Viswanathan, Balaji Bhavadharini, Mohan Deepa, et al.. (2016). Elevated glycated hemoglobin predicts macrosomia among Asian Indian pregnant women (WINGS-9). Indian Journal of Endocrinology and Metabolism. 21(1). 184–184. 11 indexed citations
13.
Unnikrishnan, Ranjit, Balaji Bhavadharini, Kumar Maheswari, et al.. (2016). Current practices in the diagnosis and management of gestational diabetes mellitus in India (WINGS-5). Indian Journal of Endocrinology and Metabolism. 20(3). 364–364. 38 indexed citations
14.
Uma, Ram, Balaji Bhavadharini, Harish Ranjani, et al.. (2016). Pregnancy outcome of gestational diabetes mellitus using a structured model of care : WINGS project (WINGS‐10). Journal of obstetrics and gynaecology research. 43(3). 468–475. 17 indexed citations
15.
Bhavadharini, Balaji, M. Mahalakshmi, Kumar Maheswari, et al.. (2015). Use of capillary blood glucose for screening for gestational diabetes mellitus in resource-constrained settings. Acta Diabetologica. 53(1). 91–97. 49 indexed citations
16.
Mohan, Viswanathan, M. Mahalakshmi, Balaji Bhavadharini, et al.. (2014). Comparison of screening for gestational diabetes mellitus by oral glucose tolerance tests done in the non-fasting (random) and fasting states. Acta Diabetologica. 51(6). 1007–1013. 71 indexed citations

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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