David J. MacEwan

8.9k citations
93 papers · 4.5k indexed · h-index 38

Impact in

Papers in

David J. MacEwan

92 papers receiving 4.4k citations

Peers

David J. MacEwan
Comparison fields: 5 of 116
  • Cancer Research 684
  • Immunology 948
  • Hematology 415
  • Molecular Biology 2.6k
  • Cellular and Molecular Neuroscience 644
Replace Matilde Caivano with:
Matilde Caivano United Kingdom
Juan Miguel Redondo Spain
James D. Clark United States
Richard M. Mortensen United States
Matthew Jarpe United States
Lih‐Ling Lin United States
Helen Reddy United Kingdom
Shigeru Nakashima Japan
David T. Dudley United States
Paul Shapiro United States
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Citations per field
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Citations per year

Countries citing papers authored by David J. MacEwan

Since Specialization
Citations

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

Fields of papers citing papers by David J. MacEwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. MacEwan. 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 David J. MacEwan. The network helps show where David J. MacEwan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20214
3 20219
4 202116
5 202139
6 2017117
7 201455
8 201360
9 201241
10 201171
11 20116
12 201053
13 2008183
14 20088
15 200332
16 2001147
17 200018
18 199912
19 199983
20 199514

About David J. MacEwan

David J. MacEwan is a scholar working on Cancer Research, Immunology, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 93 papers that have together received 4.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (19 papers), Cell death mechanisms and regulation (13 papers), Receptor Mechanisms and Signaling (13 papers), NF-κB Signaling Pathways (13 papers), Genomics, phytochemicals, and oxidative stress (10 papers), Immune Response and Inflammation (10 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Cancer Research (684 citations), Immunology (948 citations), Hematology (415 citations), Molecular Biology (2.6k citations) and Cellular and Molecular Neuroscience (644 citations). David J. MacEwan has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Stuart A. Rushworth, Kristian M. Bowles, Lyubov Zaitseva, Megan Y. Murray, Graeme Milligan, Peter Vandenabeele, Michelle Connell, Shona M. McFarlane, Niraj Shah and Maria A. O’Connell. Their work appears in journals such as Biochemical Society Transactions, FEBS Letters, Biochemical Journal, Cell Cycle and The Journal of Immunology.

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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