Catherine E. Hagan

1.2k citations
15 papers · 839 · h-index 11

Impact in

Papers in

Catherine E. Hagan

15 papers receiving 828 citations

Peers

Catherine E. Hagan
Comparison fields: 5 of 113
  • Biological Psychiatry 67
  • Behavioral Neuroscience 78
  • Cellular and Molecular Neuroscience 313
  • Small Animals 78
  • Equine 12
Replace Cristina de Oliveira Massoco with:
Cristina de Oliveira Massoco Brazil
R. W. Storts United States
Mariusz Sacharczuk Poland
Andrew J. Steelman United States
Leah C. Solberg Woods United States
Marcela Julio‐Pieper Chile
Panu Hendolin Finland
Ono H Japan
Chad B. Sandusky United States
Geeta Ramesh United States
Catherine E. Hagan relative to Cristina de Oliveira Massoco Brazil Cristina de Oliveira Massoco's profile →
Citations per field
00.5×4.7×
Cristina de Oliveira Massoco · 1×
Citations per year

Countries citing papers authored by Catherine E. Hagan

Since Specialization
Citations

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

Fields of papers citing papers by Catherine E. Hagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Catherine E. Hagan, 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 Catherine E. Hagan Line = papers co-authored together Catherine E. Hagan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2015239
2 2011215
3 201293
4
Segmented filamentous bacteria: commensal microbes with potential effects on research.
201478
5 200158
6 201246
7 201326
8 201522
9 201121
10 199816
11 201010
12 20246
13 20234
14 20203
15 20222

About Catherine E. Hagan

Catherine E. Hagan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Immunology and Biomedical Engineering, having authored 15 papers that have together received 839 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Gut microbiota and health (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Planarian Biology and Electrostimulation (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Biological Psychiatry (67 citations), Behavioral Neuroscience (78 citations), Cellular and Molecular Neuroscience (313 citations), Small Animals (78 citations) and Equine (12 citations). Catherine E. Hagan has collaborated with scholars based in United States, Italy and Portugal. Frequent co-authors include Craig L. Franklin, Aaron C. Ericsson, John F. Neumaier, Scott A. Givan, William G. Spollen, J. Wade Davis, Nathan J. Bivens, Mark A. McIntosh, Daniel I. Messinger and Charles Chavkin. Their work appears in journals such as Topics in companion animal medicine, Journal of Neuroscience, Clinical Gastroenterology and Hepatology, American Journal Of Pathology and Neuron.

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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