Andrew Wakeham

46.2k citations
112 papers · 31.5k indexed · 22 hit papers · h-index 73
  • Immunology top 0.05%
    • Immune Cell Function and Interaction 21
    • T-cell and B-cell Immunology 18
    • Immunotherapy and Immune Responses 15
    • Immune Response and Inflammation 14
    • NF-κB Signaling Pathways 16
  • Oncology top 0.1%
    • Cancer-related Molecular Pathways 13
    • Cell death mechanisms and regulation 13
    • DNA Repair Mechanisms 11

Andrew Wakeham

111 papers receiving 30.9k citations

Hit Papers

Hypersensitivity of DJ-1-deficient mice to 1-methyl-...566199120262002201450010001.5k2.0k2.5k

Peers

Andrew Wakeham
Comparison fields: 5 of 153
  • Immunology 13.3k
  • Cancer Research 5.6k
  • Oncology 7.9k
  • Molecular Biology 17.3k
  • Immunology and Allergy 1.5k
Replace Peter Angel with:
Peter Angel Germany
Lothar Hennighausen United States
Elisabeth Kremmer Germany
William J. Henzel United States
Akihiko Yoshimura Japan
Manolis Pasparakis Germany
John M. Chirgwin United States
Atsushi Miyajima Japan
Pamela S. Ohashi Canada
Jacques J. Peschon United States
Andrew Wakeham relative to Peter Angel Germany Peter Angel's profile →
Citations per field
00.5×2.6×
Peter Angel · 1×
Citations per year

Countries citing papers authored by Andrew Wakeham

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Wakeham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20229
3 202267
4 202121
5 2019105
6 201332
7 2012259
8 201037
9 2010154
10 2007106
11 2006380
12 200572
13 2005213
14 200447
15 2003303
16 20021
17 2001187
18 2001201
19 2000409
20 1998300

About Andrew Wakeham

Andrew Wakeham is a scholar working on Immunology, Cancer Research and Oncology, having authored 112 papers that have together received 31.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (18 papers), NF-κB Signaling Pathways (16 papers), Immunotherapy and Immune Responses (15 papers), Immune Response and Inflammation (14 papers), Cancer-related Molecular Pathways (13 papers), Cell death mechanisms and regulation (13 papers) and DNA Repair Mechanisms (11 papers). The work is most often cited by research in Immunology (13.3k citations), Cancer Research (5.6k citations) and Oncology (7.9k citations). Andrew Wakeham has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Tak W. Mak, Pamela S. Ohashi, Tak W. Mak, Andrew Elia, Josef Penninger, Arda Shahinian, Thomas M. Kündig, Annick Itié, Gordon S. Duncan and José Luís de la Pompa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development, Science, Molecular and Cellular Biology and Immunity.

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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