Kimberley El

734 total citations
12 papers, 487 citations indexed

About

Kimberley El is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Kimberley El has authored 12 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Kimberley El's work include Pancreatic function and diabetes (11 papers), Diabetes Treatment and Management (9 papers) and Diabetes and associated disorders (2 papers). Kimberley El is often cited by papers focused on Pancreatic function and diabetes (11 papers), Diabetes Treatment and Management (9 papers) and Diabetes and associated disorders (2 papers). Kimberley El collaborates with scholars based in United States, Canada and Denmark. Kimberley El's co-authors include Jonathan E. Campbell, Sarah M. Gray, Megan E. Capozzi, David A. D’Alessio, Kyle W. Sloop, Jonathan D. Douros, Danhong Lu, Christopher B. Newgard, Thomas Becker and Mette V. Jensen and has published in prestigious journals such as Journal of Biological Chemistry, Cell Metabolism and Diabetes.

In The Last Decade

Kimberley El

11 papers receiving 474 citations

Peers

Kimberley El
Emma K. Biggs United Kingdom
Stacey Conarello United States
Glyn M. Noguchi United States
Jonathan M. Haldeman United States
Sophie L. Lewandowski United States
Alex M. Mawla United States
Emma K. Biggs United Kingdom
Kimberley El
Citations per year, relative to Kimberley El Kimberley El (= 1×) peers Emma K. Biggs

Countries citing papers authored by Kimberley El

Since Specialization
Citations

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

Fields of papers citing papers by Kimberley El

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberley El

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

All Works

12 of 12 papers shown
1.
Gray, Sarah M., Kimberley El, Paul A. Grimsrud, et al.. (2025). α cells use both PC1/3 and PC2 to process proglucagon peptides and control insulin secretion. Science Advances. 11(38). eady8048–eady8048.
2.
Lewandowski, Sophie L., Kimberley El, & Jonathan E. Campbell. (2024). Evaluating glucose-dependent insulinotropic polypeptide and glucagon as key regulators of insulin secretion in the pancreatic islet. American Journal of Physiology-Endocrinology and Metabolism. 327(1). E103–E110. 5 indexed citations
3.
El, Kimberley, Jonathan D. Douros, Francis S. Willard, et al.. (2023). The incretin co-agonist tirzepatide requires GIPR for hormone secretion from human islets. Nature Metabolism. 5(6). 945–954. 74 indexed citations
4.
Kaur, Suneet, Megan E. Capozzi, Kimberley El, et al.. (2023). The ubiquitination status of the glucagon receptor determines signal bias. Journal of Biological Chemistry. 299(5). 104690–104690. 4 indexed citations
5.
Yang, Bin, Vasily M. Gelfanov, Kimberley El, et al.. (2022). Discovery of a potent GIPR peptide antagonist that is effective in rodent and human systems. Molecular Metabolism. 66. 101638–101638. 34 indexed citations
6.
El, Kimberley, Sarah M. Gray, Megan E. Capozzi, et al.. (2021). GIP mediates the incretin effect and glucose tolerance by dual actions on α cells and β cells. Science Advances. 7(11). 91 indexed citations
7.
Gray, Sarah M., Yurong Xin, Liz Ross, et al.. (2020). Discordance between GLP-1R gene and protein expression in mouse pancreatic islet cells. Journal of Biological Chemistry. 295(33). 11529–11541. 29 indexed citations
8.
Zhang, Guofang, Mette V. Jensen, Sarah M. Gray, et al.. (2020). Reductive TCA cycle metabolism fuels glutamine- and glucose-stimulated insulin secretion. Cell Metabolism. 33(4). 804–817.e5. 99 indexed citations
9.
Capozzi, Megan E., Inna Astapova, Jonathan D. Douros, et al.. (2020). The Limited Role of Glucagon for Ketogenesis During Fasting or in Response to SGLT2 Inhibition. Diabetes. 69(5). 882–892. 50 indexed citations
10.
Kulkarni, Abhishek, Niharika Samala, Kimberley El, et al.. (2020). A 12‐lipoxygenase‐Gpr31 signaling axis is required for pancreatic organogenesis in the zebrafish. The FASEB Journal. 34(11). 14850–14862. 15 indexed citations
11.
El, Kimberley, Megan E. Capozzi, & Jonathan E. Campbell. (2020). Repositioning the Alpha Cell in Postprandial Metabolism. Endocrinology. 161(11). 18 indexed citations
12.
El, Kimberley & Jonathan E. Campbell. (2019). The role of GIP in α-cells and glucagon secretion. Peptides. 125. 170213–170213. 68 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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