Anil Kumar Pasupulati

2.4k total citations
63 papers, 1.9k citations indexed

About

Anil Kumar Pasupulati is a scholar working on Nephrology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Anil Kumar Pasupulati has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Nephrology, 24 papers in Molecular Biology and 19 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Anil Kumar Pasupulati's work include Renal Diseases and Glomerulopathies (20 papers), Chronic Kidney Disease and Diabetes (17 papers) and Advanced Glycation End Products research (15 papers). Anil Kumar Pasupulati is often cited by papers focused on Renal Diseases and Glomerulopathies (20 papers), Chronic Kidney Disease and Diabetes (17 papers) and Advanced Glycation End Products research (15 papers). Anil Kumar Pasupulati collaborates with scholars based in India, United States and United Kingdom. Anil Kumar Pasupulati's co-authors include G. Bhanuprakash Reddy, Ram K. Menon, Mukesh Kumar, Palla Suryanarayana, P. Yadagiri Reddy, Prasad Chitra, Moin A. Saleem, Dhanunjay Mukhi, Gavin I. Welsh and Raghu Ganugula and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Anil Kumar Pasupulati

61 papers receiving 1.8k citations

Peers

Anil Kumar Pasupulati
Comparison fields: 5 of 101
  • Molecular Biology 830
  • Clinical Biochemistry 539
  • Endocrinology, Diabetes and Metabolism 513
  • Physiology 368
  • Nephrology 349
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Citations per field, relative to Anil Kumar Pasupulati
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Citations per year, relative to Anil Kumar Pasupulati
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Countries citing papers authored by Anil Kumar Pasupulati

Since Specialization
Citations

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

Fields of papers citing papers by Anil Kumar Pasupulati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anil Kumar Pasupulati. 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 Anil Kumar Pasupulati. The network helps show where Anil Kumar Pasupulati may publish in the future.

Co-authorship network of co-authors of Anil Kumar Pasupulati

This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kumar Pasupulati. A scholar is included among the top collaborators of Anil Kumar Pasupulati 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 Anil Kumar Pasupulati. Anil Kumar Pasupulati 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
# Work Indexed citations
1 1
2 9
3 13
4 11
5 30
6 21
7 18
8 1
9 8
10 13
11 26
12 26
13 125
14 31
15 51
16 2
17 41
18
Delay of Diabetic Cataract in Rats by Curcumin: Modulation of –crystallin Chaperone Activity
1
19 34
20 89

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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