Tom Metcalf

2.2k total citations · 1 hit paper
9 papers, 694 citations indexed

About

Tom Metcalf is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Molecular Biology. According to data from OpenAlex, Tom Metcalf has authored 9 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Tom Metcalf's work include Malaria Research and Control (8 papers), Invertebrate Immune Response Mechanisms (5 papers) and Mosquito-borne diseases and control (4 papers). Tom Metcalf is often cited by papers focused on Malaria Research and Control (8 papers), Invertebrate Immune Response Mechanisms (5 papers) and Mosquito-borne diseases and control (4 papers). Tom Metcalf collaborates with scholars based in United Kingdom, Sweden and France. Tom Metcalf's co-authors include Oliver Billker, Julian C. Rayner, Burcu Anar, Ellen Bushell, Colin Herd, Theo Sanderson, Gareth Girling, Akhil B. Vaidya, Michael W. Mather and Katarzyna Modrzynska and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Tom Metcalf

9 papers receiving 693 citations

Hit Papers

Functional Profiling of a Plasmodium Genome Reveals an Ab... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Metcalf United Kingdom 7 466 260 206 126 117 9 694
Gareth Girling United Kingdom 7 406 0.9× 226 0.9× 149 0.7× 111 0.9× 141 1.2× 9 619
Babita Mahajan United States 14 478 1.0× 201 0.8× 220 1.1× 138 1.1× 99 0.8× 24 683
Kirsten Heiß Germany 18 421 0.9× 230 0.9× 233 1.1× 135 1.1× 98 0.8× 26 746
Suzanne Li United States 7 507 1.1× 312 1.2× 158 0.8× 121 1.0× 155 1.3× 7 779
Jean‐Philippe Semblat France 18 497 1.1× 242 0.9× 229 1.1× 105 0.8× 84 0.7× 35 995
Sujaan Das United Kingdom 10 429 0.9× 173 0.7× 149 0.7× 154 1.2× 174 1.5× 12 598
Silvia Haase Australia 14 559 1.2× 165 0.6× 204 1.0× 177 1.4× 113 1.0× 21 727
Anna Olivieri Italy 13 623 1.3× 176 0.7× 281 1.4× 106 0.8× 96 0.8× 22 832
Gavin G. Rutledge United Kingdom 4 390 0.8× 171 0.7× 114 0.6× 125 1.0× 105 0.9× 6 516
Daniel Wilinski United States 10 406 0.9× 503 1.9× 161 0.8× 87 0.7× 77 0.7× 12 842

Countries citing papers authored by Tom Metcalf

Since Specialization
Citations

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

Fields of papers citing papers by Tom Metcalf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Metcalf

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Metcalf. A scholar is included among the top collaborators of Tom Metcalf 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 Tom Metcalf. Tom Metcalf 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.
Yang, Annie, Francis Galaway, Tom Metcalf, et al.. (2021). Systematic Identification of Plasmodium Falciparum Sporozoite Membrane Protein Interactions Reveals an Essential Role for the p24 Complex in Host Infection. Apollo (University of Cambridge). 2 indexed citations
2.
Witmer, Kathrin, et al.. (2021). Using scRNA-seq to Identify Transcriptional Variation in the Malaria Parasite Ookinete Stage. Frontiers in Cellular and Infection Microbiology. 11. 9 indexed citations
3.
Anar, Burcu, Tom Metcalf, Jean‐Philippe Semblat, et al.. (2020). Analysis of erythrocyte signalling pathways during Plasmodium falciparum infection identifies targets for host-directed antimalarial intervention. Nature Communications. 11(1). 4015–4015. 42 indexed citations
4.
Howick, Virginia M., Andrew J. C. Russell, Tallulah Andrews, et al.. (2019). The Malaria Cell Atlas: Single parasite transcriptomes across the complete Plasmodium life cycle. Science. 365(6455). 164 indexed citations
5.
Hillier, Craig, Mercedes Pardo, Lu Yu, et al.. (2019). Landscape of the Plasmodium Interactome Reveals Both Conserved and Species-Specific Functionality. Cell Reports. 28(6). 1635–1647.e5. 45 indexed citations
6.
Hillier, Craig, Lu Yu, Ellen Bushell, et al.. (2019). Landscape of the <i>Plasmodium</i> Interactome. SSRN Electronic Journal. 1 indexed citations
7.
Shears, Melanie J., Yi Sun, Christine S. Hopp, et al.. (2018). Alpha-v–containing integrins are host receptors for the Plasmodium falciparum sporozoite surface protein, TRAP. Proceedings of the National Academy of Sciences. 115(17). 4477–4482. 32 indexed citations
8.
Brugat, Thibaut, Adam J. Reid, Jingwen Lin, et al.. (2017). Antibody-independent mechanisms regulate the establishment of chronic Plasmodium infection. Nature Microbiology. 2(4). 16276–16276. 33 indexed citations
9.
Bushell, Ellen, Ana Gomes, Theo Sanderson, et al.. (2017). Functional Profiling of a Plasmodium Genome Reveals an Abundance of Essential Genes. Cell. 170(2). 260–272.e8. 366 indexed citations breakdown →

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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