Usha Panchapakesan

2.1k total citations
32 papers, 1.8k citations indexed

About

Usha Panchapakesan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Nephrology. According to data from OpenAlex, Usha Panchapakesan has authored 32 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Molecular Biology and 8 papers in Nephrology. Recurrent topics in Usha Panchapakesan's work include Diabetes Treatment and Management (16 papers), Chronic Kidney Disease and Diabetes (8 papers) and Advanced Glycation End Products research (8 papers). Usha Panchapakesan is often cited by papers focused on Diabetes Treatment and Management (16 papers), Chronic Kidney Disease and Diabetes (8 papers) and Advanced Glycation End Products research (8 papers). Usha Panchapakesan collaborates with scholars based in Australia, Germany and United States. Usha Panchapakesan's co-authors include Carol A. Pollock, Steven J. Chadban, Harshini Mudaliar, Muralikrishna Gangadharan Komala, Jin Ma, Huiling Wu, Amanda Mather, Xinming Chen, Simon Gross and Peng Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Usha Panchapakesan

32 papers receiving 1.8k citations

Peers

Usha Panchapakesan
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 681
  • Molecular Biology 593
  • Nephrology 585
  • Surgery 379
  • Clinical Biochemistry 321
Replace Daisuke Ogawa with:
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Elyce Ozols Australia
Daiji Kawanami Japan
Bieke F. Schrijvers Denmark
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Daisuke Ogawa Japan View profile →
Citations per field, relative to Usha Panchapakesan
Usha Panchapakesan · 1×
Citations per year, relative to Usha Panchapakesan
Usha Panchapakesan · 1×

Countries citing papers authored by Usha Panchapakesan

Since Specialization
Citations

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

Fields of papers citing papers by Usha Panchapakesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Usha Panchapakesan

This figure shows the co-authorship network connecting the top 25 collaborators of Usha Panchapakesan. A scholar is included among the top collaborators of Usha Panchapakesan 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 Usha Panchapakesan. Usha Panchapakesan 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 3
2 45
3 22
4 126
5 30
6 23
7 35
8 92
9 62
10 132
11 12
12 43
13 294
14 23
15 19
16 10
17 82
18 39
19 68
20 4

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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