Sunitha Jothydev

406 citations
30 papers · 300 · h-index 10

Impact in

Papers in

Sunitha Jothydev

27 papers receiving 265 citations

Peers

Sunitha Jothydev
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 192
  • Family Practice 10
  • Health Information Management 18
  • General Health Professions 33
  • Genetics 35
Replace Pauline Schaepelynck with:
Pauline Schaepelynck France
Alexander Seibold Germany
Deborah Conte Santos Brazil
Jesús Moreno-Fernández Spain
E Requeda France
Annie Nikolajsen Denmark
Kristen Kulasa United States
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Citations per field
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Citations per year

Countries citing papers authored by Sunitha Jothydev

Since Specialization
Citations

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

Fields of papers citing papers by Sunitha Jothydev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Sunitha Jothydev, 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 Sunitha Jothydev Line = papers co-authored together Sunitha Jothydev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201255
2 201036
3 200936
4 201534
5 201731
6 201221
7 202118
8 201411
9 202310
10 20159
11 20168
12 20116
13 20175
14 20205
15 20212
16 20222
17 20231
18 20231
19 20171
20 20221

About Sunitha Jothydev

Sunitha Jothydev is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Genetics, Surgery and Molecular Biology, having authored 30 papers that have together received 300 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Diabetes Treatment and Management (8 papers), Chronic Disease Management Strategies (5 papers), Diabetes and associated disorders (4 papers), Diabetes Management and Education (4 papers), Artificial Intelligence in Healthcare (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (192 citations), Family Practice (10 citations), Health Information Management (18 citations), General Health Professions (33 citations) and Genetics (35 citations). Sunitha Jothydev has collaborated with scholars based in India, United States and Oman. Frequent co-authors include Jothydev Kesavadev, Gopika Krishnan, Arun Shankar, Banshi Saboo, Shashank Joshi, John Shin, Ranjit Unnikrishnan, Robert A. Vigersky, Ambady Ramachandran and Ashok Kumar Das. Their work appears in journals such as Diabetes, Diabetes Technology & Therapeutics, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Endocrine Practice and Current Diabetes Reviews.

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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