Kim E. Barrett

222 papers receiving 7.6k citations

Kim E. Barrett's Hit Papers

Ganong's Review of Medical Physiology 2009 · 668 citations
6680+5+11Years since publication200400600

Peers

Kim E. Barrett
Comparison fields: 5 of 176
  • Gastroenterology 781
  • Sensory Systems 279
  • Physiology 257
  • Immunology 1.1k
  • Molecular Biology 3.5k
Replace David Gall with:
David Gall Canada
Toshiro Sugiyama Japan
Mark Donowitz United States
Christoph Becker Germany
Burkhard Göke Germany
Guido Adler Germany
Nathalie Vergnolle Canada
Ping Li China
Mauro Piacentini Italy
Masataka Mori Japan
Kim E. Barrett relative to David Gall Canada David Gall's profile →
Citations per field
00.5×11×
David Gall · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kim E. Barrett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kim E. Barrett Line = papers co-authored together Kim E. Barrett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ganong's Review of Medical Physiology
Hit paper breakdown →
2009668
2 2000398
3 2006253
4 1997167
5 1994164
6 1998155
7 1998142
8 1991137
9 1994133
10 2000132
11 1993131
12
Cytokine production in the rheumatoid joint: implications for treatment.
1990129
13 2005115
14 2016115
15 2004113
16 2007109
17 1986107
18 2014106
19 1996103
20 2002100

About Kim E. Barrett

Kim E. Barrett is a scholar working on Molecular Biology, Surgery, Immunology, Oncology and Gastroenterology, having authored 230 papers that have together received 7.8k indexed citations. Recurring topics across this work include Mast cells and histamine (37 papers), Helicobacter pylori-related gastroenterology studies (36 papers), Ion Transport and Channel Regulation (34 papers), Drug Transport and Resistance Mechanisms (19 papers), Gastrointestinal motility and disorders (18 papers), Gut microbiota and health (16 papers), Cystic Fibrosis Research Advances (13 papers) and Protein Kinase Regulation and GTPase Signaling (13 papers). The work is most often cited by research in Gastroenterology (781 citations), Sensory Systems (279 citations), Physiology (257 citations), Immunology (1.1k citations) and Molecular Biology (3.5k citations). Kim E. Barrett has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent 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. Their work appears in journals such as Gastroenterology, American Journal of Physiology-Cell Physiology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Journal of Biological Chemistry and Inflammation Research.

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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