Amanda Thomson

583 total citations
9 papers, 412 citations indexed

About

Amanda Thomson is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Amanda Thomson has authored 9 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Amanda Thomson's work include Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immunotherapy and Immune Responses (2 papers). Amanda Thomson is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Immunotherapy and Immune Responses (2 papers). Amanda Thomson collaborates with scholars based in United Kingdom, United States and Sweden. Amanda Thomson's co-authors include Catharien M. U. Hilkens, Kathryn Smart, Awen Gallimore, Andrew Godkin, Martin Scurr, Tom Pembroke, Robert H. Jones, Richard Adams, Daniel G. Blount and Hayley Bridgeman and has published in prestigious journals such as Clinical Cancer Research, British Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Amanda Thomson

9 papers receiving 404 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amanda Thomson United Kingdom 6 166 162 121 76 38 9 412
Daniele Macchia Italy 11 192 1.2× 131 0.8× 109 0.9× 34 0.4× 63 1.7× 18 431
Hyeon-Beom Seo South Korea 13 189 1.1× 88 0.5× 203 1.7× 83 1.1× 29 0.8× 22 437
Lisette Bevaart Netherlands 13 330 2.0× 130 0.8× 290 2.4× 142 1.9× 18 0.5× 13 710
Shye‐Jye Tang Taiwan 12 110 0.7× 118 0.7× 220 1.8× 31 0.4× 26 0.7× 25 471
Anton V. Gorbachev United States 19 565 3.4× 192 1.2× 125 1.0× 29 0.4× 37 1.0× 27 865
Hidetomo Himuro Japan 8 150 0.9× 139 0.9× 116 1.0× 24 0.3× 49 1.3× 19 390
Seong‐Hyun Ho South Korea 9 70 0.4× 59 0.4× 119 1.0× 31 0.4× 26 0.7× 18 311
Evelyne Dombrecht Belgium 10 160 1.0× 68 0.4× 98 0.8× 187 2.5× 42 1.1× 12 472
Emira Bousoik United States 10 94 0.6× 129 0.8× 215 1.8× 36 0.5× 17 0.4× 11 434
Takeshi Minashima United States 12 66 0.4× 37 0.2× 151 1.2× 85 1.1× 26 0.7× 15 340

Countries citing papers authored by Amanda Thomson

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Thomson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Thomson

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Thomson. A scholar is included among the top collaborators of Amanda Thomson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amanda Thomson. Amanda Thomson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
McDonald, David, Gillian Hulme, Andrew Fuller, et al.. (2023). OPTIMAL : An OPTimized Imaging Mass cytometry AnaLysis framework for benchmarking segmentation and data exploration. Cytometry Part A. 105(1). 36–53. 4 indexed citations
2.
McDonald, David, Amanda Thomson, Catharien M. U. Hilkens, et al.. (2023). Distinct lung cell signatures define the temporal evolution of diffuse alveolar damage in fatal COVID-19. EBioMedicine. 99. 104945–104945. 2 indexed citations
3.
Thomson, Amanda & Catharien M. U. Hilkens. (2021). Synovial Macrophages in Osteoarthritis: The Key to Understanding Pathogenesis?. Frontiers in Immunology. 12. 678757–678757. 105 indexed citations
4.
Thomson, Amanda, Martin Scurr, Kathryn Smart, et al.. (2021). Prognostic significance of interleukin-17A-producing colorectal tumour antigen-specific T cells. British Journal of Cancer. 124(9). 1552–1555. 4 indexed citations
5.
Thomson, Amanda, Kathryn Smart, Michelle Somerville, et al.. (2019). The Ussing chamber system for measuring intestinal permeability in health and disease. BMC Gastroenterology. 19(1). 98–98. 86 indexed citations
6.
Scurr, Martin, Tom Pembroke, Anja Bloom, et al.. (2017). Low-Dose Cyclophosphamide Induces Antitumor T-Cell Responses, which Associate with Survival in Metastatic Colorectal Cancer. Clinical Cancer Research. 23(22). 6771–6780. 119 indexed citations
7.
Scurr, Martin, Tom Pembroke, Anja Bloom, et al.. (2017). Effect of Modified Vaccinia Ankara–5T4 and Low-Dose Cyclophosphamide on Antitumor Immunity in Metastatic Colorectal Cancer. JAMA Oncology. 3(10). e172579–e172579. 55 indexed citations
8.
Mohammed, Rebar N., et al.. (2016). L-selectin Is Essential for Delivery of Activated CD8+ T Cells to Virus-Infected Organs for Protective Immunity. Cell Reports. 14(4). 760–771. 32 indexed citations
9.
Pheils, Murray T., et al.. (1979). A PATTERN OF LOCAL RECURRENCE FOLLOWING RESECTION OF COLORECTAL CANCER. Australian and New Zealand Journal of Surgery. 49(6). 663–668. 5 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026