Stuart G. Field

608 total citations
8 papers, 417 citations indexed

About

Stuart G. Field is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Stuart G. Field has authored 8 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Stuart G. Field's work include Insect Resistance and Genetics (3 papers), Evolution and Genetic Dynamics (3 papers) and Parasite Biology and Host Interactions (2 papers). Stuart G. Field is often cited by papers focused on Insect Resistance and Genetics (3 papers), Evolution and Genetic Dynamics (3 papers) and Parasite Biology and Host Interactions (2 papers). Stuart G. Field collaborates with scholars based in United States, United Kingdom and Ghana. Stuart G. Field's co-authors include Martin J. Donnelly, Craig S. Wilding, Sara N. Mitchell, Bradley J. Stevenson, Pie Müller, Hilary Ranson, Mark J. I. Paine, Alexander Egyir-Yawson, Janet Hemingway and John Essandoh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Soil Biology and Biochemistry.

In The Last Decade

Stuart G. Field

8 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stuart G. Field United States	8	225	221	99	96	64	8	417
Caroline Fouet United States	13	213 0.9×	209 0.9×	148 1.5×	101 1.1×	87 1.4×	19	447
Christian Melaun Germany	13	166 0.7×	254 1.1×	44 0.4×	99 1.0×	39 0.6×	22	535
Chris S. Clarkson United Kingdom	6	310 1.4×	333 1.5×	71 0.7×	121 1.3×	100 1.6×	15	532
Ali Ouari Burkina Faso	12	124 0.6×	452 2.0×	156 1.6×	70 0.7×	45 0.7×	18	523
Alexander E. Yawson United Kingdom	8	475 2.1×	526 2.4×	223 2.3×	157 1.6×	89 1.4×	9	789
Mario Ludwig Germany	10	170 0.8×	164 0.7×	136 1.4×	152 1.6×	22 0.3×	14	391
Scott T. Small United States	11	143 0.6×	104 0.5×	48 0.5×	90 0.9×	46 0.7×	21	362
Joshua B. Benoit United States	9	84 0.4×	114 0.5×	49 0.5×	286 3.0×	63 1.0×	11	421
Idalyd Fonseca Colombia	9	98 0.4×	301 1.4×	211 2.1×	93 1.0×	24 0.4×	17	504
Tyler B. Krause United States	8	70 0.3×	102 0.5×	40 0.4×	132 1.4×	68 1.1×	10	355

Countries citing papers authored by Stuart G. Field

Since Specialization

Citations

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

Fields of papers citing papers by Stuart G. Field

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart G. Field. 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 Stuart G. Field. The network helps show where Stuart G. Field may publish in the future.

Co-authorship network of co-authors of Stuart G. Field

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

All Works

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8 of 8 papers shown

Weetman, David, Sara N. Mitchell, Craig S. Wilding, et al.. (2015). Contemporary evolution of resistance at the major insecticide target site gene Ace‐1 by mutation and copy number variation in the malaria mosquito Anopheles gambiae. Molecular Ecology. 24(11). 2656–2672. 54 indexed citations

Clarkson, Chris S., David Weetman, John Essandoh, et al.. (2014). Adaptive introgression between Anopheles sibling species eliminates a major genomic island but not reproductive isolation. Nature Communications. 5(1). 4248–4248. 122 indexed citations

Mitchell, Sara N., Bradley J. Stevenson, Pie Müller, et al.. (2012). Identification and validation of a gene causing cross-resistance between insecticide classes inAnopheles gambiaefrom Ghana. Proceedings of the National Academy of Sciences. 109(16). 6147–6152. 179 indexed citations

Tavener, Simon, et al.. (2011). Transient sensitivity analysis for nonlinear population models. Methods in Ecology and Evolution. 2(5). 560–575. 12 indexed citations

Field, Stuart G. & Nico K. Michiels. (2006). ACEPHALINE GREGARINE PARASITES (MONOCYSTIS SP.) ARE NOT TRANSMITTED SEXUALLY AMONG THEIR LUMBRICID EARTHWORM HOSTS. Journal of Parasitology. 92(2). 292–297. 7 indexed citations

Field, Stuart G. & Nico K. Michiels. (2005). Does the acephaline gregarine Monocystis sp. modify the surface behaviour of its earthworm host Lumbricus terrestris?. Soil Biology and Biochemistry. 38(6). 1334–1339. 7 indexed citations

Field, Stuart G., Joachim Kurtz, Edwin L. Cooper, & Nico K. Michiels. (2004). Evaluation of an innate immune reaction to parasites in earthworms. Journal of Invertebrate Pathology. 86(1-2). 45–49. 24 indexed citations

Field, Stuart G., et al.. (2003). The influence of Monocystis sp. infection on growth and mating behaviour of the earthworm Lumbricus terrestris. Canadian Journal of Zoology. 81(7). 1161–1167. 12 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.

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