A K Das

9 total papers · 1.3k total citations
6 papers, 238 citations indexed

About

A K Das is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, A K Das has authored 6 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Genetics and 1 paper in Molecular Biology. Recurrent topics in A K Das's work include Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Diabetes Management and Education (1 paper) and Nutritional Studies and Diet (1 paper). A K Das is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Diabetes Management and Education (1 paper) and Nutritional Studies and Diet (1 paper). A K Das collaborates with scholars based in India and Denmark. A K Das's co-authors include Viswanathan Mohan, Tanvir Kaur, Mohan Deepa, R. Subashini, Rajendra Pradeepa, Shashank Joshi, Anil Bhansali, SV Madhu, PP Joshi and Ranjit Unnikrishnan and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Journal of Human Hypertension and Indian Journal of Endocrinology and Metabolism.

In The Last Decade

A K Das

6 papers receiving 224 citations

Author Peers

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

Author Last Decade Papers Cites
A K Das 141 70 46 44 41 6 238
Kabiru Sada 133 0.9× 74 1.1× 39 0.8× 31 0.7× 48 1.2× 8 272
Padmini Balagopal 154 1.1× 29 0.4× 66 1.4× 39 0.9× 59 1.4× 6 288
Dinkar Shukla 128 0.9× 34 0.5× 58 1.3× 60 1.4× 98 2.4× 2 277
Mark Joshi 97 0.7× 81 1.2× 50 1.1× 95 2.2× 68 1.7× 10 305
Tony Heagerty 65 0.5× 174 2.5× 62 1.3× 66 1.5× 32 0.8× 3 296
David R Matthews 165 1.2× 32 0.5× 56 1.2× 28 0.6× 56 1.4× 6 274
Rama Raju 119 0.8× 105 1.5× 70 1.5× 61 1.4× 52 1.3× 11 274
José M. Arteagoitia 129 0.9× 52 0.7× 39 0.8× 9 0.2× 63 1.5× 11 268
Kien Keat Ng 71 0.5× 93 1.3× 49 1.1× 46 1.0× 46 1.1× 7 243
Lhamo Yangchen Sherpa 56 0.4× 71 1.0× 54 1.2× 28 0.6× 41 1.0× 9 256

Countries citing papers authored by A K Das

Since Specialization
Citations

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

Fields of papers citing papers by A K Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A K Das. 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 A K Das. The network helps show where A K Das may publish in the future.

Co-authorship network of co-authors of A K Das

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