Ken Flanagan

858 citations
12 papers · 565 indexed · h-index 9

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Cell Adhesion Molecules Research 4
    • Neuroinflammation and Neurodegeneration Mechanisms 4
    • Barrier Structure and Function Studies 1

Ken Flanagan

12 papers receiving 559 citations

Peers

Ken Flanagan
Comparison fields: 5 of 67
  • Neurology 170
  • Immunology 250
  • Biological Psychiatry 28
  • Pathology and Forensic Medicine 145
  • Immunology and Allergy 42
Replace Ingrid Teige with:
Ingrid Teige Sweden
Neda Haghayegh Jahromi Switzerland
Kim B. Nguyen Australia
Hans-Joerg Fehling Germany
H. Wekerle Germany
Roberto Meza‐Romero United States
Michael Abadier United States
Manuela Paunovic Netherlands
Piotr Przanowski United States
Holger Babbe Germany
Ken Flanagan relative to Ingrid Teige Sweden Ingrid Teige's profile →
Citations per field
00.5×1.6×
Ingrid Teige · 1×
Citations per year

Countries citing papers authored by Ken Flanagan

Since Specialization
Citations

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

Fields of papers citing papers by Ken Flanagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 20201
2 20193
3 201831
4 201679
5 201550
6 201467
7 201439
8 20146
9 2014119
10 2012103
11 200829
12 200238

About Ken Flanagan

Ken Flanagan is a scholar working on Immunology and Allergy, Neurology, Immunology, Virology and Hematology, having authored 12 papers that have together received 565 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Cell Adhesion Molecules Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Barrier Structure and Function Studies (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Neurology (170 citations), Immunology (250 citations), Biological Psychiatry (28 citations), Pathology and Forensic Medicine (145 citations) and Immunology and Allergy (42 citations). Ken Flanagan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Alexander Zarbock, Nicholas Schwab, Tanja Kuhlmann, Heinz Wiendl, Lydia Sorokin, Tilman Schneider‐Hohendorf, Howard E. Gendelman, Katherine A. Estes, Katherine E. Olson and R. Lee Mosley. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Neuroimmunology, Amyloid and Vaccine.

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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