Kiran Deep Kaur

646 total citations
13 papers, 467 citations indexed

About

Kiran Deep Kaur is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kiran Deep Kaur has authored 13 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 5 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kiran Deep Kaur's work include Diabetes Treatment and Management (5 papers), Pancreatic function and diabetes (5 papers) and Metabolism, Diabetes, and Cancer (2 papers). Kiran Deep Kaur is often cited by papers focused on Diabetes Treatment and Management (5 papers), Pancreatic function and diabetes (5 papers) and Metabolism, Diabetes, and Cancer (2 papers). Kiran Deep Kaur collaborates with scholars based in Canada, United States and Hong Kong. Kiran Deep Kaur's co-authors include Ashish Kumar Singh, Alok Jha, Latha Sabikhi, Daniel J. Drucker, Laurie L. Baggio, Xiemin Cao, Brent A. McLean, Jacqueline L. Beaudry, Kailash N. Pandey and Elangovan Vellaichamy and has published in prestigious journals such as Endocrinology, Peptides and JCI Insight.

In The Last Decade

Kiran Deep Kaur

12 papers receiving 459 citations

Peers

Kiran Deep Kaur
Yeonmi Lee South Korea
Kiran Deep Kaur
Citations per year, relative to Kiran Deep Kaur Kiran Deep Kaur (= 1×) peers Yeonmi Lee

Countries citing papers authored by Kiran Deep Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Kiran Deep Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kiran Deep Kaur. 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 Kiran Deep Kaur. The network helps show where Kiran Deep Kaur may publish in the future.

Co-authorship network of co-authors of Kiran Deep Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Deep Kaur. A scholar is included among the top collaborators of Kiran Deep Kaur 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 Kiran Deep Kaur. Kiran Deep Kaur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Hammoud, Rola, Kiran Deep Kaur, Jacqueline A. Koehler, et al.. (2024). Glucose-dependent insulinotropic polypeptide receptor signaling alleviates gut inflammation in mice. JCI Insight. 10(3). 10 indexed citations
2.
Kaur, Kiran Deep, et al.. (2024). Chronic pramlintide decreases feeding via a reduction in meal size in male rats. Peptides. 176. 171197–171197. 2 indexed citations
3.
Pujadas, Gemma, Laurie L. Baggio, Kiran Deep Kaur, et al.. (2022). Genetic disruption of the Gipr in Apoe−/− mice promotes atherosclerosis. Molecular Metabolism. 65. 101586–101586. 16 indexed citations
4.
Kaur, Kiran Deep & Olivier Habimana. (2022). Death at the interface: Nanotechnology’s challenging frontier against microbial surface colonization. Frontiers in Chemistry. 10. 1003234–1003234. 4 indexed citations
5.
McLean, Brent A., Chi Kin Wong, Kiran Deep Kaur, Randy J. Seeley, & Daniel J. Drucker. (2021). Differential importance of endothelial and hematopoietic cell GLP-1Rs for cardiometabolic versus hepatic actions of semaglutide. JCI Insight. 6(22). 53 indexed citations
6.
Kaur, Kiran Deep, Chi Kin Wong, Laurie L. Baggio, et al.. (2021). TCF7 is not essential for glucose homeostasis in mice. Molecular Metabolism. 48. 101213–101213. 2 indexed citations
7.
Lee, Linda, et al.. (2019). Use of Prospective Radiobrachial Angiography in Transradial Cardiac Catheterization and Intervention. Cardiovascular revascularization medicine. 21(6). 797–803. 1 indexed citations
8.
Beaudry, Jacqueline L., Kiran Deep Kaur, Elodie M. Varin, et al.. (2019). The brown adipose tissue glucagon receptor is functional but not essential for control of energy homeostasis in mice. Molecular Metabolism. 22. 37–48. 68 indexed citations
9.
Yusta, Bernardo, Dianne Matthews, Jacqueline A. Koehler, et al.. (2019). Localization of Glucagon-Like Peptide-2 Receptor Expression in the Mouse. Endocrinology. 160(8). 1950–1963. 40 indexed citations
10.
Beaudry, Jacqueline L., Kiran Deep Kaur, Elodie M. Varin, et al.. (2019). Physiological roles of the GIP receptor in murine brown adipose tissue. Molecular Metabolism. 28. 14–25. 50 indexed citations
11.
Kaur, Kiran Deep, et al.. (2019). Percutaneous Coronary Intervention following Placement of Sutureless Aortic Bioprostheses. Innovations Technology and Techniques in Cardiothoracic and Vascular Surgery. 14(2). 177–182. 1 indexed citations
12.
Kaur, Kiran Deep, Alok Jha, Latha Sabikhi, & Ashish Kumar Singh. (2012). Significance of coarse cereals in health and nutrition: a review. Journal of Food Science and Technology. 51(8). 1429–1441. 182 indexed citations
13.
Vellaichamy, Elangovan, Kiran Deep Kaur, & Kailash N. Pandey. (2006). Enhanced activation of pro-inflammatory cytokines in mice lacking natriuretic peptide receptor-A. Peptides. 28(4). 893–899. 38 indexed citations

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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2026