Kim E. Barrett

10.5k total citations · 1 hit paper
230 papers, 7.8k citations indexed

About

Kim E. Barrett is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Kim E. Barrett has authored 230 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 62 papers in Surgery and 49 papers in Immunology. Recurrent topics in Kim E. Barrett's work include Mast cells and histamine (37 papers), Helicobacter pylori-related gastroenterology studies (36 papers) and Ion Transport and Channel Regulation (34 papers). Kim E. Barrett is often cited by papers focused on Mast cells and histamine (37 papers), Helicobacter pylori-related gastroenterology studies (36 papers) and Ion Transport and Channel Regulation (34 papers). Kim E. Barrett collaborates with scholars based in United States, United Kingdom and Ireland. Kim E. Barrett's co-authors include Stephen J. Keely, Silvia Resta‐Lenert, Jorge Uribe, Declan F. McCole, Alexis Traynor‐Kaplan, Dean D. Metcalfe, Jane Smitham, M. Vajanaphanich, Lone S. Bertelsen and Lars Eckmann and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Kim E. Barrett

222 papers receiving 7.6k citations

Hit Papers

Ganong's Review of Medical Physiology 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kim E. Barrett United States 49 3.5k 1.6k 1.1k 960 826 230 7.8k
Alastair J.M. Watson United Kingdom 49 3.9k 1.1× 1.5k 0.9× 1.2k 1.1× 507 0.5× 1.6k 1.9× 122 8.6k
Yasuo Takahashi Japan 50 4.7k 1.3× 1.7k 1.1× 503 0.5× 1.5k 1.5× 1.2k 1.4× 395 10.2k
Nobuyuki Kobayashi Japan 44 2.0k 0.6× 1.1k 0.7× 1.5k 1.4× 1.1k 1.2× 718 0.9× 315 7.1k
Tor Savidge United States 48 3.1k 0.9× 1.5k 1.0× 1.0k 0.9× 350 0.4× 384 0.5× 159 8.5k
Mia Phillipson Sweden 40 3.3k 0.9× 1.1k 0.7× 2.5k 2.3× 414 0.4× 571 0.7× 96 8.4k
Wolfram Domschke Germany 53 1.7k 0.5× 3.4k 2.2× 1.3k 1.2× 1.6k 1.7× 1.4k 1.7× 377 9.3k
Toshio Watanabe Japan 52 2.5k 0.7× 4.4k 2.8× 1.3k 1.2× 1.6k 1.7× 983 1.2× 499 10.1k
Hui Liu China 46 6.2k 1.8× 1.0k 0.7× 1.9k 1.7× 892 0.9× 1.9k 2.3× 447 11.5k
Ping Li China 53 6.0k 1.7× 1.1k 0.7× 1.8k 1.6× 1.2k 1.3× 1.2k 1.5× 626 13.5k
Nathalie Vergnolle Canada 72 3.3k 0.9× 2.2k 1.4× 2.1k 1.9× 614 0.6× 624 0.8× 234 14.8k

Countries citing papers authored by Kim E. Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Kim E. Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim E. Barrett. 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 Kim E. Barrett. The network helps show where Kim E. Barrett may publish in the future.

Co-authorship network of co-authors of Kim E. Barrett

This figure shows the co-authorship network connecting the top 25 collaborators of Kim E. Barrett. A scholar is included among the top collaborators of Kim E. Barrett 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 Kim E. Barrett. Kim E. Barrett 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
1.
Barrett, Kim E., et al.. (2025). The association of place-based disadvantage and access to deceased donor heart transplantation. American Journal of Transplantation. 26(2). 393–403.
2.
Gareau, Mélanie G. & Kim E. Barrett. (2023). Role of the microbiota-gut-brain axis in postacute COVID syndrome. American Journal of Physiology-Gastrointestinal and Liver Physiology. 324(4). G322–G328. 12 indexed citations
3.
Noormahomed, Emília Virgínia, et al.. (2023). Microbiological assessment reveals that Salmonella, Shigella and Campylobacter infections are widespread in HIV infected and uninfected patients with diarrhea in Mozambique. SHILAP Revista de lepidopterología. 3(5). e0001877–e0001877. 1 indexed citations
4.
Keely, Stephen J. & Kim E. Barrett. (2022). Intestinal secretory mechanisms and diarrhea. American Journal of Physiology-Gastrointestinal and Liver Physiology. 322(4). G405–G420. 47 indexed citations
5.
Fallon, Ciara M., Natalia Lajczak, Aoibhlinn O’Toole, et al.. (2022). Pentacyclic triterpenes modulate farnesoid X receptor expression in colonic epithelial cells: Implications for colonic secretory function. Journal of Biological Chemistry. 298(11). 102569–102569. 8 indexed citations
6.
Marchelletta, Ronald R., Moorthy Krishnan, Marianne R. Spalinger, et al.. (2021). T cell protein tyrosine phosphatase protects intestinal barrier function by restricting epithelial tight junction remodeling. Journal of Clinical Investigation. 131(17). 29 indexed citations
7.
Barrett, Kim E.. (2020). Epithelial transport in digestive diseases: mice, monolayers, and mechanisms. American Journal of Physiology-Cell Physiology. 318(6). C1136–C1143. 7 indexed citations
8.
Kim, Younjoo, et al.. (2020). Potentiation of calcium‐activated chloride secretion and barrier dysfunction may underlie EGF receptor tyrosine kinase inhibitor‐induced diarrhea. Physiological Reports. 8(13). e14490–e14490. 24 indexed citations
9.
Alisson‐Silva, Frederico, Janet Z. Liu, Sandra Diaz, et al.. (2018). Human evolutionary loss of epithelial Neu5Gc expression and species-specific susceptibility to cholera. PLoS Pathogens. 14(6). e1007133–e1007133. 23 indexed citations
10.
Barman, Susan M., et al.. (2018). Ganong's medical physiology examination and board review. 1 indexed citations
11.
Paul, Gisela, Ronald R. Marchelletta, Declan F. McCole, & Kim E. Barrett. (2011). Interferon-γ Alters Downstream Signaling Originating from Epidermal Growth Factor Receptor in Intestinal Epithelial Cells. Journal of Biological Chemistry. 287(3). 2144–2155. 22 indexed citations
12.
McCole, Declan F. & Kim E. Barrett. (2008). Decoding epithelial signals: critical role for the epidermal growth factor receptor in controlling intestinal transport function. Acta Physiologica. 195(1). 149–159. 19 indexed citations
13.
McCole, Declan F. & Kim E. Barrett. (2007). Varied role of the gut epithelium in mucosal homeostasis. Current Opinion in Gastroenterology. 23(6). 647–654. 53 indexed citations
14.
Zhang, Shen, Jason X.‐J. Yuan, Kim E. Barrett, & Hui Dong. (2004). Role of Na+/Ca2+ exchange in regulating cytosolic Ca2+ in cultured human pulmonary artery smooth muscle cells. American Journal of Physiology-Cell Physiology. 288(2). C245–C252. 113 indexed citations
15.
Barrett, Kim E.. (2002). Preparing Your Curriculum Vitae. Journal of Pediatric Gastroenterology and Nutrition. 34(4). 362–365.
16.
Barrett, Kim E. & Mark Donowitz. (2001). Gastrointestinal transport : molecular physiology. Academic Press eBooks. 10 indexed citations
17.
Keely, Stephen J. & Kim E. Barrett. (1999). ErbB2 and ErbB3 Receptors Mediate Inhibition of Calcium-dependent Chloride Secretion in Colonic Epithelial Cells. Journal of Biological Chemistry. 274(47). 33449–33454. 40 indexed citations
18.
19.
Pratha, Vijaya S., Stephen M. Thompson, Daniel L. Hogan, et al.. (1998). Utility of endoscopic biopsy samples to quantitate human duodenal ion transport. Journal of Laboratory and Clinical Medicine. 132(6). 512–518. 16 indexed citations
20.

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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