Theo Sanderson

4.2k total citations · 3 hit papers
21 papers, 1.1k citations indexed

About

Theo Sanderson is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Theo Sanderson has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Public Health, Environmental and Occupational Health and 4 papers in Infectious Diseases. Recurrent topics in Theo Sanderson's work include Malaria Research and Control (12 papers), Mosquito-borne diseases and control (7 papers) and Machine Learning in Bioinformatics (4 papers). Theo Sanderson is often cited by papers focused on Malaria Research and Control (12 papers), Mosquito-borne diseases and control (7 papers) and Machine Learning in Bioinformatics (4 papers). Theo Sanderson collaborates with scholars based in United Kingdom, United States and Germany. Theo Sanderson's co-authors include Lucy J. Colwell, Maxwell L. Bileschi, David Belanger, Julian C. Rayner, Ellen Bushell, Burcu Anar, Tom Metcalf, Oliver Billker, Colin Herd and Akhil B. Vaidya and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Theo Sanderson

21 papers receiving 1.1k citations

Hit Papers

Functional Profiling of a Plasmodium Genome Reveals an Ab... 2017 2026 2020 2023 2017 2022 2023 100 200 300

Peers

Theo Sanderson
Axel Martinelli United Kingdom
G. Subramanian United States
Sean C. Murphy United States
Adam J. Reid United Kingdom
Heather J. Painter United States
Jenna Oberstaller United States
Nicholas J. Barrows United States
Axel Martinelli United Kingdom
Theo Sanderson
Citations per year, relative to Theo Sanderson Theo Sanderson (= 1×) peers Axel Martinelli

Countries citing papers authored by Theo Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Theo Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theo Sanderson

This figure shows the co-authorship network connecting the top 25 collaborators of Theo Sanderson. A scholar is included among the top collaborators of Theo Sanderson 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 Theo Sanderson. Theo Sanderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sanderson, Theo, I’ah Donovan-Banfield, Hassan Hartman, et al.. (2023). A molnupiravir-associated mutational signature in global SARS-CoV-2 genomes. Nature. 623(7987). 594–600. 97 indexed citations breakdown →
2.
Sanderson, Theo, Maxwell L. Bileschi, David Belanger, & Lucy J. Colwell. (2023). ProteInfer, deep neural networks for protein functional inference. eLife. 12. 82 indexed citations
3.
Sanderson, Theo, et al.. (2022). Treenome Browser: co-visualization of enormous phylogenies and millions of genomes. Bioinformatics. 39(1). 4 indexed citations
4.
Bileschi, Maxwell L., David Belanger, Drew Bryant, et al.. (2022). Using deep learning to annotate the protein universe. Nature Biotechnology. 40(6). 932–937. 164 indexed citations breakdown →
5.
Sanderson, Theo. (2022). Taxonium, a web-based tool for exploring large phylogenetic trees. eLife. 11. 29 indexed citations
6.
Zech, Fabian, Christoph Jung, Timo Jacob, et al.. (2022). Determinants of Spike infectivity, processing, and neutralization in SARS-CoV-2 Omicron subvariants BA.1 and BA.2. Cell Host & Microbe. 30(9). 1255–1268.e5. 45 indexed citations
7.
Carrasquilla, Manuela, et al.. (2022). Barcoding Genetically Distinct Plasmodium falciparum Strains for Comparative Assessment of Fitness and Antimalarial Drug Resistance. mBio. 13(5). e0093722–e0093722. 7 indexed citations
8.
Hostetler, Jessica B., Alejandro Marín-Menéndez, Theo Sanderson, et al.. (2021). Using Plasmodium knowlesi as a model for screening Plasmodium vivax blood-stage malaria vaccine targets reveals new candidates. PLoS Pathogens. 17(7). e1008864–e1008864. 20 indexed citations
9.
Aunin, Eerik, Ulrike Böhme, Theo Sanderson, et al.. (2020). Genomic and transcriptomic evidence for descent from Plasmodium and loss of blood schizogony in Hepatocystis parasites from naturally infected red colobus monkeys. PLoS Pathogens. 16(8). e1008717–e1008717. 17 indexed citations
10.
Carrasquilla, Manuela, Sophie Adjalley, Theo Sanderson, et al.. (2020). Defining multiplicity of vector uptake in transfected Plasmodium parasites. Scientific Reports. 10(1). 10894–10894. 10 indexed citations
11.
Sanderson, Theo, Peer Martin, Thomas Stach, et al.. (2020). An apicoplast‐resident folate transporter is essential for sporogony of malaria parasites. Cellular Microbiology. 23(1). e13266–e13266. 5 indexed citations
12.
Carter, Brandon, Maxwell L. Bileschi, Jamie Smith, et al.. (2019). Critiquing Protein Family Classification Models Using Sufficient Input Subsets. Journal of Computational Biology. 27(8). 1219–1231. 6 indexed citations
13.
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
14.
Verzier, Lisa, et al.. (2019). Plasmodium knowlesi as a model system for characterising Plasmodium vivax drug resistance candidate genes. PLoS neglected tropical diseases. 13(6). e0007470–e0007470. 13 indexed citations
15.
Hillier, Craig, Lu Yu, Ellen Bushell, et al.. (2019). Landscape of the <i>Plasmodium</i> Interactome. SSRN Electronic Journal. 1 indexed citations
16.
Bustamante, Leyla Y., Gareth T. Powell, Yen‐Chun Lin, et al.. (2017). Synergistic malaria vaccine combinations identified by systematic antigen screening. Proceedings of the National Academy of Sciences. 114(45). 12045–12050. 40 indexed citations
17.
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 →
18.
Pinheiro, Miguel, Md Atique Ahmed, Theo Sanderson, et al.. (2015). Plasmodium knowlesi Genome Sequences from Clinical Isolates Reveal Extensive Genomic Dimorphism. PLoS ONE. 10(4). e0121303–e0121303. 50 indexed citations
19.
Reeve, Benjamin, Theo Sanderson, Tom Ellis, & Paul S. Freemont. (2014). How Synthetic Biology Will Reconsider Natural Bioluminescence and Its Applications. Advances in biochemical engineering, biotechnology. 145. 3–30. 10 indexed citations
20.
Zimmerman, Jeffrey J., Kyoung‐Jin Yoon, E. C. Pirtle, et al.. (1997). Studies of porcine reproductive and respiratory syndrome (PRRS) virus infection in avian species. Veterinary Microbiology. 55(1-4). 329–336. 61 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