Shaun Willimott

571 citations
15 papers · 509 · h-index 13

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Chronic Lymphocytic Leukemia Research 7
    • Immune Cell Function and Interaction 3
    • Phagocytosis and Immune Regulation 3
    • Immunodeficiency and Autoimmune Disorders 2

Shaun Willimott

15 papers receiving 504 citations

Peers

Shaun Willimott
Comparison fields: 5 of 63
  • Genetics 158
  • Cancer Research 101
  • Immunology 144
  • Physiology 20
  • Oncology 105
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Chelsia Qiuxia Wang Singapore
Susanne Schnabl Austria
Ana Inés Landoni Uruguay
Bárbara Du Rocher Brazil
Maria Nyåkern Italy
Daniel Sasca Germany
Valeria Belsito Petrizzi Italy
Chelsey A. Raymond United States
Guangning Yan China
Ernest C. Medina United States
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Citations per field
00.5×1.5×1.9×
Chelsia Qiuxia Wang · 1×
Citations per year

Countries citing papers authored by Shaun Willimott

Since Specialization
Citations

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

Fields of papers citing papers by Shaun Willimott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201073
2 201361
3 200760
4 201158
5 201650
6 200835
7 201332
8 200730
9 201125
10 200720
11 200718
12 200916
13 201115
14 20099
15 20097

About Shaun Willimott

Shaun Willimott is a scholar working on Genetics, Immunology, Cancer Research, Molecular Biology and Hematology, having authored 15 papers that have together received 509 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), MicroRNA in disease regulation (3 papers), Immune Cell Function and Interaction (3 papers), Phagocytosis and Immune Regulation (3 papers), RNA Interference and Gene Delivery (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cell death mechanisms and regulation (2 papers) and Plant chemical constituents analysis (1 paper). The work is most often cited by research in Genetics (158 citations), Cancer Research (101 citations), Immunology (144 citations), Physiology (20 citations) and Oncology (105 citations). Shaun Willimott has collaborated with scholars based in United Kingdom, Spain and France. Frequent co-authors include Simon D. Wagner, Maria Baou, Kikkeri N. Naresh, Matthew J. Ahearne, Fiona M. Miall, Martin Dyer, James Barker, Sarah W. Huf, Elizabeth I. Opara and Dawn T. Smallwood. Their work appears in journals such as Haematologica, British Journal of Haematology, Molecular Immunology, Leukemia and Blood.

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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