Shanta J. Persaud

9.5k citations
213 papers · 7.5k indexed · h-index 50
Topics
Pancreatic function and diabetes (169 papers)Metabolism, Diabetes, and Cancer (66 papers)Diabetes and associated disorders (54 papers)

In The Last Decade

Shanta J. Persaud

211 papers receiving 7.3k citations

Peers

Shanta J. Persaud
Comparison fields: 5 of 128
  • Surgery 3.9k
  • Molecular Biology 3.4k
  • Endocrinology, Diabetes and Metabolism 2.6k
  • Genetics 1.5k
  • Physiology 1.2k
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Citations per field
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Citations per year

Countries citing papers authored by Shanta J. Persaud

Since Specialization
Citations

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

Fields of papers citing papers by Shanta J. Persaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shanta J. Persaud. 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 Shanta J. Persaud. The network helps show where Shanta J. Persaud may publish in the future.

Co-authorship network of co-authors of Shanta J. Persaud

This figure shows the co-authorship network connecting the top 25 collaborators of Shanta J. Persaud. A scholar is included among the top collaborators of Shanta J. Persaud 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 Shanta J. Persaud. Shanta J. Persaud 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
#WorkIndexed citations
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2 1
3 1
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5 17
6 4
7 16
8 16
9 63
10 9
11 102
12
Islet alpha-cells do not influence insulin secretion through cell-cell contact
7
13
Secretory characteristics of islets of Langerhans isolated from somatostatin-deficient mice
2
14 44
15
Reduced insulin secretory capacity in the hypertensive adult offspring of rats exposed to a high fat diet in pregnancy.
2
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Restoration of glucose-responsive insulin secretion following formation of cell clusters in the poorly responsive betaTC-3 cell line.
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17 9
18 16
19 51
20 35

About Shanta J. Persaud

Shanta J. Persaud is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 213 papers that have together received 7.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (169 papers), Metabolism, Diabetes, and Cancer (66 papers) and Diabetes and associated disorders (54 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.6k citations), Endocrine and Autonomic Systems (613 citations) and Surgery (3.9k citations). Shanta J. Persaud has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Peter M. Jones, Simon L. Howell, Astrid C. Hauge-Evans, Paul E. Squires, Aileen King, Guo Huang, Bo Liu, Stephanie A. Amiel, Henry Asare‐Anane and Dany Muller. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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