Vasudevan Sudha

164 total papers · 6.5k total citations
101 papers, 2.7k citations indexed

About

Vasudevan Sudha is a scholar working on Nutrition and Dietetics, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Vasudevan Sudha has authored 101 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Nutrition and Dietetics, 38 papers in Public Health, Environmental and Occupational Health and 27 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Vasudevan Sudha's work include Nutritional Studies and Diet (29 papers), Food composition and properties (27 papers) and Diet and metabolism studies (16 papers). Vasudevan Sudha is often cited by papers focused on Nutritional Studies and Diet (29 papers), Food composition and properties (27 papers) and Diet and metabolism studies (16 papers). Vasudevan Sudha collaborates with scholars based in India, United States and United Kingdom. Vasudevan Sudha's co-authors include Viswanathan Mohan, G. Radhika, Ranjit Mohan Anjana, R Sathya, Ranjit Unnikrishnan, Anbazhagan Ganesan, Kamala Krishnaswamy, Rajendra Pradeepa, Nagarajan Lakshmipriya and Mohan Deepa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Vasudevan Sudha

91 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vasudevan Sudha 909 846 759 565 435 101 2.7k
Arpita Basu 531 0.6× 866 1.0× 831 1.1× 467 0.8× 546 1.3× 92 4.0k
Nancy M. Betts 966 1.1× 694 0.8× 502 0.7× 530 0.9× 329 0.8× 75 3.4k
Priyanga Ranasinghe 662 0.7× 856 1.0× 1.2k 1.6× 559 1.0× 341 0.8× 133 4.7k
Liisa Valsta 1.6k 1.8× 1.3k 1.6× 586 0.8× 818 1.4× 235 0.5× 117 4.2k
Madeleine J. Ball 451 0.5× 830 1.0× 401 0.5× 627 1.1× 284 0.7× 90 3.3k
Zahra Bahadoran 645 0.7× 486 0.6× 730 1.0× 887 1.6× 316 0.7× 129 3.3k
Nicole M. Wedick 759 0.8× 622 0.7× 845 1.1× 510 0.9× 269 0.6× 36 2.5k
Noushin Mohammadifard 1.1k 1.3× 593 0.7× 494 0.7× 599 1.1× 208 0.5× 148 2.6k
J. Maatela 668 0.7× 736 0.9× 399 0.5× 390 0.7× 272 0.6× 60 4.5k
Agnieszka Micek 1.3k 1.4× 543 0.6× 331 0.4× 601 1.1× 164 0.4× 99 3.4k

Countries citing papers authored by Vasudevan Sudha

Since Specialization
Citations

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

Fields of papers citing papers by Vasudevan Sudha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasudevan Sudha

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

All Works

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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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