Tom Metcalf

2.3k citations
9 papers · 716 · 1 hit paper · h-index 7

Impact in

Papers in

Tom Metcalf

9 papers receiving 715 citations

Tom Metcalf's Hit Papers

Functional Profiling of a Plasmodium Genome Reveals an Abundance of Essential Genes 2017 · 374 citations
3740+3+6Years since publication100200300

Peers

Tom Metcalf
Comparison fields: 5 of 71
  • Parasitology 125
  • Public Health, Environmental and Occupational Health 476
  • Virology 53
  • Immunology 201
  • Molecular Biology 255
Replace Gareth Girling with:
Gareth Girling United Kingdom
Claudia Pfander United Kingdom
Kirsten Heiß Germany
Babita Mahajan United States
Silvia Haase Australia
Suzanne Li United States
Bharath Balu United States
Daniel Wilinski United States
Antoine Claessens United Kingdom
Brendan Elsworth United States
Tom Metcalf relative to Gareth Girling United Kingdom Gareth Girling's profile →
Citations per field
00.5×1.7×
Gareth Girling · 1×
Citations per year

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-authors

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

All Works

9 of 9 papers shown
#Work
1
Functional Profiling of a Plasmodium Genome Reveals an Abundance of Essential Genes
Hit paper breakdown →
2017374
2 2019173
3 201947
4 202043
5 201733
6 201832
7 202110
8
Systematic Identification of Plasmodium Falciparum Sporozoite Membrane Protein Interactions Reveals an Essential Role for the p24 Complex in Host Infection
20213
9 20191

About Tom Metcalf

Tom Metcalf is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Molecular Biology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 716 indexed citations. Recurring topics across this work include Malaria Research and Control (8 papers), Invertebrate Immune Response Mechanisms (5 papers), Mosquito-borne diseases and control (4 papers), Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (1 paper), Immunotherapy and Immune Responses (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Research on Leishmaniasis Studies (1 paper). The work is most often cited by research in Parasitology (125 citations), Public Health, Environmental and Occupational Health (476 citations), Virology (53 citations), Immunology (201 citations) and Molecular Biology (255 citations). Tom Metcalf has collaborated with scholars based in United Kingdom, Sweden and France. Frequent co-authors include Oliver Billker, Julian C. Rayner, Burcu Anar, Ellen Bushell, Colin Herd, Theo Sanderson, Gareth Girling, Leopold Parts, Gavin G. Rutledge and Michael W. Mather. Their work appears in journals such as Nature Communications, Frontiers in Cellular and Infection Microbiology, Cell Reports, Nature Microbiology and Cell.

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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