Gavin McDonnell

2.5k citations
42 papers · 786 · h-index 17

Impact in

Papers in

Gavin McDonnell

41 papers receiving 763 citations

Peers

Gavin McDonnell
Comparison fields: 5 of 95
  • Pathology and Forensic Medicine 469
  • Immunology 295
  • Rheumatology 160
  • Neurology 138
  • Neurology 67
Replace Enedina Maria Lobato de Oliveira with:
Enedina Maria Lobato de Oliveira Brazil
Norman J. Kachuck United States
Ho Jin Kim South Korea
Lisa Costelloe Ireland
R. Philip Kinkel United States
Alicja Kalinowska Poland
B. C. Kieseier Germany
Sandrine Wiertlewski France
Becky Parks United States
Cristina Ramo‐Tello Spain
Gavin McDonnell relative to Enedina Maria Lobato de Oliveira Brazil Enedina Maria Lobato de Oliveira's profile →
Citations per field
00.5×1.5×
Enedina Maria Lobato de Oliveira · 1×
Citations per year

Countries citing papers authored by Gavin McDonnell

Since Specialization
Citations

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

Fields of papers citing papers by Gavin McDonnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 199961
3 200558
4 199946
5 200144
6 200438
7 200435
8 199832
9 200529
10 200726
11 199926
12 200326
13 200025
14 199920
15 201018
16 201817
17 200316
18 202215
19 199914
20 200313

About Gavin McDonnell

Gavin McDonnell is a scholar working on Pathology and Forensic Medicine, Immunology, Neurology, Rheumatology and Molecular Biology, having authored 42 papers that have together received 786 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (21 papers), Peripheral Neuropathies and Disorders (8 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (6 papers), Systemic Lupus Erythematosus Research (6 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cell Adhesion Molecules Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (469 citations), Immunology (295 citations), Rheumatology (160 citations), Neurology (138 citations) and Neurology (67 citations). Gavin McDonnell has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Stanley Hawkins, Colin A. Graham, Aidan Droogan, Orla Gray, S A McMillan, Raeburn B Forbes, JOHN DOUGLAS, Koen Vandenbroeck, Derek Middleton and Shirley Heggarty. Their work appears in journals such as Journal of Neuroimmunology, Journal of the Neurological Sciences, Journal of Neurology Neurosurgery & Psychiatry, Multiple Sclerosis Journal and Postgraduate Medical Journal.

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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