Anandakumar Amutha

1.8k citations
60 papers · 959 indexed · h-index 20
Topics
Diabetes Management and Research (31 papers)Diabetes and associated disorders (28 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers)
Journals
SHILAP Revista de lepidopterologíaDiabetes CareScientific Reports

In The Last Decade

Anandakumar Amutha

53 papers receiving 941 citations

Peers

Anandakumar Amutha
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 592
  • Genetics 320
  • Surgery 233
  • Epidemiology 177
  • Molecular Biology 133
Replace Irene Vinagre with:
Irene Vinagre Spain
Tomoko Nakagami Japan
Anupama Ramachandran India
Alethea L. Tennill United States
P J Guillausseau France
Sung Woo Park South Korea
Mats Martinell Sweden
Moneeza K. Siddiqui United Kingdom
Coimbatore Subramanian Shanthirani India
P. C. Y. Tong Hong Kong
Anandakumar Amutha relative to Irene Vinagre Spain Irene Vinagre's profile →
Citations per field
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Irene Vinagre · 1×
Citations per year

Countries citing papers authored by Anandakumar Amutha

Since Specialization
Citations

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

Fields of papers citing papers by Anandakumar Amutha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anandakumar Amutha

This figure shows the co-authorship network connecting the top 25 collaborators of Anandakumar Amutha. A scholar is included among the top collaborators of Anandakumar Amutha 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 Anandakumar Amutha. Anandakumar Amutha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 2
5 4
6 1
7 5
8 3
9 19
10 52
11
Lipid Profile in Childhood-and Youth-Onset Type 2 Diabetes and their Association with Microvascular Complications.
14
12 30
13 24
14 24
15 25
16 30
17 70
18 22
19 60
20 60

About Anandakumar Amutha

Anandakumar Amutha is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Health Information Management, having authored 60 papers that have together received 959 indexed citations. Recurring topics across this work include Diabetes Management and Research (31 papers), Diabetes and associated disorders (28 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (592 citations), Genetics (320 citations) and Ophthalmology (83 citations). Anandakumar Amutha has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Viswanathan Mohan, Ranjit Mohan Anjana, Ranjit Unnikrishnan, Harish Ranjani, K.M. Venkat Narayan, Mohammed K. Ali, Manjula Datta, Ulagamathesan Venkatesan, Venkatesan Radha and Ramachandran Rajalakshmi. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Scientific Reports.

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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