Gareth Girling

22 total papers · 1.1k total citations
9 papers, 616 citations indexed

About

Gareth Girling is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Gareth Girling has authored 9 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Immunology. Recurrent topics in Gareth Girling's work include Malaria Research and Control (4 papers), CRISPR and Genetic Engineering (4 papers) and RNA and protein synthesis mechanisms (3 papers). Gareth Girling is often cited by papers focused on Malaria Research and Control (4 papers), CRISPR and Genetic Engineering (4 papers) and RNA and protein synthesis mechanisms (3 papers). Gareth Girling collaborates with scholars based in United Kingdom, United States and France. Gareth Girling's co-authors include Oliver Billker, Frank Schwach, Julian C. Rayner, Ellen Bushell, Burcu Anar, Ana Gomes, Colin Herd, Katarzyna Modrzynska, Tom Metcalf and Leopold Parts and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Gareth Girling

9 papers receiving 614 citations

Hit Papers

Functional Profiling of a... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gareth Girling 405 225 148 140 111 9 616
Natalie A. Counihan 399 1.0× 148 0.7× 130 0.9× 184 1.3× 154 1.4× 20 692
Ramanavelan Sakthivel 179 0.4× 281 1.2× 184 1.2× 140 1.0× 52 0.5× 11 535
Odile Billaut‐Mulot 203 0.5× 266 1.2× 123 0.8× 228 1.6× 81 0.7× 15 570
Marc Breton 184 0.5× 239 1.1× 118 0.8× 259 1.9× 44 0.4× 13 635
Kirk J. Lubick 316 0.8× 95 0.4× 267 1.8× 84 0.6× 86 0.8× 14 663
Piet Borst 301 0.7× 333 1.5× 104 0.7× 402 2.9× 80 0.7× 9 659
Mahmood M. Alam 338 0.8× 163 0.7× 118 0.8× 114 0.8× 111 1.0× 9 538
Zita Krnajski 409 1.0× 246 1.1× 166 1.1× 108 0.8× 159 1.4× 8 654
Sylvie Briquet 427 1.1× 209 0.9× 246 1.7× 132 0.9× 121 1.1× 25 663
Megan Pavy 357 0.9× 76 0.3× 98 0.7× 87 0.6× 40 0.4× 11 541

Countries citing papers authored by Gareth Girling

Since Specialization
Citations

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

Fields of papers citing papers by Gareth Girling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gareth Girling

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

All Works

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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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