Ananda Basu

67 total papers · 1.6k total citations
33 papers, 941 citations indexed

About

Ananda Basu is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Ananda Basu has authored 33 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 13 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Molecular Biology. Recurrent topics in Ananda Basu's work include Adipose Tissue and Metabolism (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Diabetes Management and Research (7 papers). Ananda Basu is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Diabetes Management and Research (7 papers). Ananda Basu collaborates with scholars based in United States, Canada and Italy. Ananda Basu's co-authors include Robert A. Rizza, Rita Basu, Debabrata Mukhopadhyay, Michael D. Jensen, Debashis Nandy, Shelly K. Roberts, Nisha Charkoudian, Pankaj Shah, Michael J. Joyner and Adrian Vella and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Cancer Research.

In The Last Decade

Ananda Basu

31 papers receiving 915 citations

Author Peers

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

Author Last Decade Papers Cites
Ananda Basu 381 343 269 186 171 33 941
Olga T. Hardy 352 0.9× 447 1.3× 271 1.0× 139 0.7× 321 1.9× 19 1.2k
Audrey Koı̈tka 277 0.7× 335 1.0× 164 0.6× 306 1.6× 126 0.7× 23 1.1k
G. Triantafyllou 539 1.4× 108 0.3× 253 0.9× 186 1.0× 149 0.9× 30 1.2k
Jacobie Steenbergen 275 0.7× 267 0.8× 245 0.9× 83 0.4× 107 0.6× 31 925
Wei Liu 193 0.5× 475 1.4× 299 1.1× 165 0.9× 156 0.9× 50 1.2k
Yuya Fujishima 335 0.9× 190 0.6× 439 1.6× 240 1.3× 170 1.0× 49 1.2k
Rick I. Meijer 493 1.3× 182 0.5× 146 0.5× 381 2.0× 247 1.4× 32 1.1k
Miikka‐Juhani Honka 383 1.0× 334 1.0× 229 0.9× 132 0.7× 210 1.2× 39 915
W. Y. Fujimoto 229 0.6× 455 1.3× 124 0.5× 298 1.6× 182 1.1× 17 953
Müjde Aktürk 202 0.5× 411 1.2× 217 0.8× 123 0.7× 187 1.1× 80 1.1k

Countries citing papers authored by Ananda Basu

Since Specialization
Citations

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

Fields of papers citing papers by Ananda Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ananda Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Ananda Basu. A scholar is included among the top collaborators of Ananda Basu 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 Ananda Basu. Ananda Basu 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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