Dean Kavanagh

1.3k citations
32 papers · 892 · h-index 15

Impact in

  • Hepatology top 5%
    • Liver Diseases and Immunity
    • Liver physiology and pathology
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Immune cells in cancer 3
    • Receptor Mechanisms and Signaling 2

Dean Kavanagh

30 papers receiving 870 citations

Peers

Dean Kavanagh
Comparison fields: 5 of 89
  • Hepatology 135
  • Genetics 169
  • Immunology and Allergy 57
  • Immunology 184
  • Hematology 71
Replace Rob de Waal with:
Rob de Waal Netherlands
Joachim Høg Mortensen Denmark
Philipp‐Sebastian Koch Germany
Kristin Seré Germany
Henrik J. Jürgensen Denmark
Yannic Danger France
S Fuggle United Kingdom
B. Dasgupta United States
Racquel Corpuz United States
Geoffrey Camirand United States
Dean Kavanagh relative to Rob de Waal Netherlands Rob de Waal's profile →
Citations per field
00.5×8.7×
Rob de Waal · 1×
Citations per year

Countries citing papers authored by Dean Kavanagh

Since Specialization
Citations

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

Fields of papers citing papers by Dean Kavanagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012166
2 2006132
3 201066
4 202161
5 201459
6 201157
7 201256
8 201748
9 200842
10 201534
11 200932
12 201923
13 202222
14 201215
15 201315
16 202311
17 201310
18 20198
19 20196
20 20235

About Dean Kavanagh

Dean Kavanagh is a scholar working on Immunology, Molecular Biology, Genetics, Hematology and Rehabilitation, having authored 32 papers that have together received 892 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Wound Healing and Treatments (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Immune cells in cancer (3 papers), Platelet Disorders and Treatments (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Hepatology (135 citations), Genetics (169 citations), Immunology and Allergy (57 citations), Immunology (184 citations) and Hematology (71 citations). Dean Kavanagh has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Neena Kalia, Jon Frampton, David Adams, Joseph Robinson, Peter Hampson, Janet M. Lord, Gary Reynolds, Philip N. Newsome, Paul Klenerman and Evaggelia Liaskou. Their work appears in journals such as PLoS ONE, Journal of Thrombosis and Haemostasis, eLife, Frontiers in Immunology and Basic Research in Cardiology.

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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