Brian E. Fee

916 citations
27 papers · 781 · h-index 15

Impact in

Papers in

    • Glioma Diagnosis and Treatment 5
    • Bacterial Genetics and Biotechnology 3
    • Inflammatory Bowel Disease 2
    • interferon and immune responses 4
    • Immune Response and Inflammation 4

Brian E. Fee

27 papers receiving 763 citations

Peers

Brian E. Fee
Comparison fields: 5 of 59
  • Endocrine and Autonomic Systems 49
  • Oncology 121
  • Genetics 46
  • Gastroenterology 33
  • Molecular Biology 265
Replace Milena Rozenberg with:
Milena Rozenberg Israel
A Giraud Australia
Gabriella Bedekovicsne Gajdos United States
Vedat O. Yilmaz United States
Xiaoqin Yuan China
Luke Fritzky United States
Rachel R. Stine United States
Afrodite Lourbakos United Kingdom
Shaida Ouladan Canada
Aviva Dahan Israel
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Citations per field
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Citations per year

Countries citing papers authored by Brian E. Fee

Since Specialization
Citations

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

Fields of papers citing papers by Brian E. Fee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010154
2 2001143
3 199786
4 200737
5 200236
6 198632
7 200830
8 201726
9 199324
10 199724
11 201424
12 201023
13 199021
14 201720
15 202017
16 198814
17 201412
18 201411
19 202110
20 20159

About Brian E. Fee

Brian E. Fee is a scholar working on Genetics, Immunology, Genetics, Molecular Biology and Oncology, having authored 27 papers that have together received 781 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), interferon and immune responses (4 papers), Immune Response and Inflammation (4 papers), Bacterial Genetics and Biotechnology (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), Cell death mechanisms and regulation (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (49 citations), Oncology (121 citations), Genetics (46 citations), Gastroenterology (33 citations) and Molecular Biology (265 citations). Brian E. Fee has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include John L. Cleveland, Gerard P. Zambetti, John Nip, Scott W. Hiebert, Walter B. Dempsey, Graham Packham, Rodger A. Liddle, Steven R. Vigna, Christine M. Eischen and Augustus O. Grant. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Oncology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Disease Models & Mechanisms and Journal of Clinical Investigation.

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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