Wayne Croft

617 citations
35 papers · 431 · h-index 13

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 8
    • Immunotherapy and Immune Responses 3
    • CAR-T cell therapy research 5
    • Cancer Cells and Metastasis 3
    • Cancer Immunotherapy and Biomarkers 3

Wayne Croft

34 papers receiving 416 citations

Peers

Wayne Croft
Comparison fields: 5 of 94
  • Immunology 131
  • Oncology 118
  • Urology 17
  • Hematology 31
  • Molecular Biology 121
Replace G. Gobe with:
G. Gobe Australia
Lin Miao China
Joon Hyeok Kwak United States
Katharina Leucht Germany
Christina Wolf Germany
András Szabó United States
Cassandra M. Thumwood Australia
Guenther Boeck Austria
Kenji Miyadai Japan
Preeti Kumari Chaudhary South Korea
Wayne Croft relative to G. Gobe Australia G. Gobe's profile →
Citations per field
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G. Gobe · 1×
Citations per year

Countries citing papers authored by Wayne Croft

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Croft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202344
2 202241
3 201732
4 202322
5 202022
6 202121
7 201921
8 197720
9 197919
10 201315
11 198614
12 201514
13 197913
14 201412
15 201511
16 201311
17 202111
18 201710
19 201410
20 197710

About Wayne Croft

Wayne Croft is a scholar working on Immunology, Oncology, Hematology, Cellular and Molecular Neuroscience and Biotechnology, having authored 35 papers that have together received 431 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers), CAR-T cell therapy research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Cancer Cells and Metastasis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (131 citations), Oncology (118 citations), Urology (17 citations), Hematology (31 citations) and Molecular Biology (121 citations). Wayne Croft has collaborated with scholars based in United Kingdom, Sweden and Croatia. Frequent co-authors include P.L. Moss, Jianmin Zuo, Torun Nilsson, Hayden Pearce, Kriti Verma, Tomas C. Bellamy, Graham Ladds, Ewen Alexander Griffiths, Mona Elshafie and Richard P. T. Evans. Their work appears in journals such as iScience, Frontiers in Immunology, Infection and Immunity, RNA and eLife.

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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