Nithya Sukumar

26 papers receiving 602 citations

Peers

Nithya Sukumar
Comparison fields: 5 of 83
  • Obstetrics and Gynecology 267
  • Rheumatology 267
  • Pediatrics, Perinatology and Child Health 176
  • Endocrinology, Diabetes and Metabolism 139
  • Clinical Biochemistry 26
Replace Jyoti A Deshpande with:
Jyoti A Deshpande India
J. C. Hill United Kingdom
Rafaella Cristhine Pordeus Luna Brazil
Ashima Thomas India
A Mhaskar India
Dolores Moyano Spain
Vaishali Deshpande India
Ebru Dıkensoy Türkiye
Ellen C. Francis United States
Deniz Cemgil Arıkan Türkiye
Nithya Sukumar relative to Jyoti A Deshpande India Jyoti A Deshpande's profile →
Citations per field
00.5×9.3×
Jyoti A Deshpande · 1×
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201695
2 201178
3 201471
4 201666
5 202156
6 202149
7 201940
8 201636
9 202033
10 201818
11 202215
12 201814
13 201811
14 202310
15 20217
16 20234
17 20233
18 20153
19
An Open Label Study of an Occlusive Heat Patch in the Treatment of Warts
20192
20 20232

About Nithya Sukumar

Nithya Sukumar is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Rheumatology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 621 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (18 papers), Birth, Development, and Health (10 papers), Folate and B Vitamins Research (10 papers), Diabetes Management and Research (7 papers), Pregnancy and preeclampsia studies (7 papers), Bariatric Surgery and Outcomes (3 papers), Diabetes Treatment and Management (3 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Obstetrics and Gynecology (267 citations), Rheumatology (267 citations), Pediatrics, Perinatology and Child Health (176 citations), Endocrinology, Diabetes and Metabolism (139 citations) and Clinical Biochemistry (26 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, Chittaranjan S. Yajnik, Snorri Björn Rafnsson, Antonysunil Adaikalakoteswari, Ngianga‐Bakwin Kandala, Raj Bhopal, Vinod Patel and Sean M. Wilson. Their work appears in journals such as Diabetic Medicine, Diabetes, BJOG An International Journal of Obstetrics & Gynaecology, Diabetes Obesity and Metabolism and iScience.

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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