Nithya Sukumar

27 papers receiving 997 citations

Nithya Sukumar's Hit Papers

Gestational diabetes: opportunities for improving maternal and child health 2020 · 307 citations
3070+2+4Years since publication100200300

Peers

Nithya Sukumar
Comparison fields: 5 of 75
  • Obstetrics and Gynecology 407
  • Rheumatology 317
  • Endocrinology, Diabetes and Metabolism 124
  • Pediatrics, Perinatology and Child Health 58
  • Health Information Management 18
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Beata Stach‐Lempinen Finland
Jyoti A Deshpande India
Mina Amiri Iran
Fumi Hirayama Australia
Christos Zoupas Greece
Eila T. J. Suvanto Finland
Chang Ye Canada
José Geraldo Lopes Ramos Brazil
Fatma Ferda Verit Türkiye
Niranjan P Joshi India
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Citations per year

Countries citing papers authored by Nithya Sukumar

Since Specialization
Citations

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

Fields of papers citing papers by Nithya Sukumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gestational diabetes: opportunities for improving maternal and child health
Hit paper breakdown →
2020307
2 2016107
3 201176
4 201475
5 201674
6 202170
7 202149
8 201942
9 201641
10 202037
11 201824
12 202423
13 201816
14 202216
15 202314
16 201812
17 20218
18 20228
19 20238
20 20236

About Nithya Sukumar

Nithya Sukumar is a scholar working on Obstetrics and Gynecology, Rheumatology, Physiology, General Health Professions and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 1k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (16 papers), Folate and B Vitamins Research (9 papers), Mobile Health and mHealth Applications (4 papers), Physical Activity and Health (4 papers), Pancreatic function and diabetes (2 papers), Pain Mechanisms and Treatments (1 paper), Birth, Development, and Health (1 paper) and Thyroid Disorders and Treatments (1 paper). The work is most often cited by research in Obstetrics and Gynecology (407 citations), Rheumatology (317 citations), Endocrinology, Diabetes and Metabolism (124 citations), Pediatrics, Perinatology and Child Health (58 citations) and Health Information Management (18 citations). Nithya Sukumar has collaborated with scholars based in United Kingdom, India and Australia. Frequent co-authors include Ponnusamy Saravanan, Hema Venkataraman, Yonas Ghebremichael‐Weldeselassie, Snorri Björn Rafnsson, Chittaranjan Sakerlal Yajnik, Antonysunil Adaikalakoteswari, Raj S. Bhopal, Ngianga‐Bakwin Kandala, Vinod Bhagu Patel and Oyinlola O Oyebode. Their work appears in journals such as Diabetes, BJOG An International Journal of Obstetrics & Gynaecology, The Lancet Diabetes & Endocrinology, Diabetologia and Diabetic Medicine.

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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