Seth Redmond

8.3k total citations
18 papers, 1.2k citations indexed

About

Seth Redmond is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Immunology. According to data from OpenAlex, Seth Redmond has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 10 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Seth Redmond's work include Mosquito-borne diseases and control (8 papers), Malaria Research and Control (8 papers) and Insect Resistance and Genetics (7 papers). Seth Redmond is often cited by papers focused on Mosquito-borne diseases and control (8 papers), Malaria Research and Control (8 papers) and Insect Resistance and Genetics (7 papers). Seth Redmond collaborates with scholars based in United States, United Kingdom and France. Seth Redmond's co-authors include Mark C. Field, Jamuna Vadivelu, Mara Lawniczak, Daniel E. Neafsey, Dyann F. Wirth, George K. Christophides, Igor V. Sharakhov, Robert M. MacCallum, Nora J. Besansky and Michaël C. Fontaine and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Seth Redmond

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth Redmond United States 15 655 550 260 239 177 18 1.2k
Emmanuel Bischoff France 22 1.3k 1.9× 346 0.6× 95 0.4× 257 1.1× 514 2.9× 42 1.5k
A.M.W. Vermunt Netherlands 12 503 0.8× 485 0.9× 74 0.3× 134 0.6× 264 1.5× 14 1.1k
Marta Ponzi Italy 19 657 1.0× 420 0.8× 187 0.7× 50 0.2× 269 1.5× 55 1.1k
Adam J. Reid United Kingdom 19 465 0.7× 633 1.2× 88 0.3× 61 0.3× 316 1.8× 40 1.4k
Derrick Mathias United States 19 865 1.3× 256 0.5× 63 0.2× 125 0.5× 277 1.6× 52 1.4k
Inge Holm France 15 537 0.8× 298 0.5× 58 0.2× 124 0.5× 233 1.3× 26 831
Pantelis Topalis Greece 14 299 0.5× 605 1.1× 63 0.2× 283 1.2× 210 1.2× 30 977
Joel Vega-Rodríguez United States 17 763 1.2× 372 0.7× 71 0.3× 498 2.1× 302 1.7× 42 1.2k
Ian H. Cheeseman United States 17 1.0k 1.6× 270 0.5× 395 1.5× 58 0.2× 273 1.5× 28 1.3k
Magnus Manske United Kingdom 13 524 0.8× 473 0.9× 87 0.3× 44 0.2× 147 0.8× 17 1.1k

Countries citing papers authored by Seth Redmond

Since Specialization
Citations

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

Fields of papers citing papers by Seth Redmond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seth Redmond

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

All Works

18 of 18 papers shown
1.
Pham, Kien, Fayette Klaassen, Melanie H. Chitwood, et al.. (2024). Combining genomic data and infection estimates to characterize the complex dynamics of SARS-CoV-2 Omicron variants in the US. Cell Reports. 43(7). 114451–114451. 1 indexed citations
2.
Crava, Cristina M., Finny S. Varghese, Rebecca Halbach, et al.. (2021). Population genomics in the arboviral vector Aedes aegypti reveals the genomic architecture and evolution of endogenous viral elements. Molecular Ecology. 30(7). 1594–1611. 37 indexed citations
3.
Redmond, Seth, Atashi Sharma, Igor V. Sharakhov, et al.. (2020). Linked-read sequencing identifies abundant microinversions and introgression in the arboviral vector Aedes aegypti. BMC Biology. 18(1). 26–26. 13 indexed citations
4.
Love, R. Rebecca, Seth Redmond, Marco Pombi, et al.. (2019). In Silico Karyotyping of Chromosomally Polymorphic Malaria Mosquitoes in the Anopheles gambiae Complex. G3 Genes Genomes Genetics. 9(10). 3249–3262. 18 indexed citations
5.
Ghurye, Jay, Sergey Koren, Scott T. Small, et al.. (2019). A chromosome-scale assembly of the major African malaria vector Anopheles funestus. GigaScience. 8(6). 38 indexed citations
6.
Redmond, Seth, Selina Bopp, Amy K. Bei, et al.. (2018). De Novo Mutations Resolve Disease Transmission Pathways in Clonal Malaria. Molecular Biology and Evolution. 35(7). 1678–1689. 11 indexed citations
7.
Demas, Allison, Aabha Sharma, Wesley Wong, et al.. (2018). Mutations in Plasmodium falciparum actin-binding protein coronin confer reduced artemisinin susceptibility. Proceedings of the National Academy of Sciences. 115(50). 12799–12804. 99 indexed citations
8.
Miles, Alistair, Nicholas J. Harding, Giordano Bottà, et al.. (2017). Genetic diversity of the African malaria vector Anopheles gambiae. Nature. 552(7683). 96–100. 231 indexed citations
9.
Oyola, Samuel O., Cristina V. Ariani, William L. Hamilton, et al.. (2016). Whole genome sequencing of Plasmodium falciparum from dried blood spots using selective whole genome amplification. Malaria Journal. 15(1). 597–597. 94 indexed citations
10.
Redmond, Seth, Karin Eiglmeier, Christian Mitri, et al.. (2015). Association mapping by pooled sequencing identifies TOLL 11 as a protective factor against Plasmodium falciparum in Anopheles gambiae. BMC Genomics. 16(1). 779–779. 15 indexed citations
11.
Bushell, Ellen, et al.. (2014). Characterization of P lasmodium developmental transcriptomes in A nopheles gambiae midgut reveals novel regulators of malaria transmission. Cellular Microbiology. 17(2). 254–268. 25 indexed citations
12.
Martínez-Barnetche, Jesús, Juan Téllez‐Sosa, Rhoel R. Dinglasan, et al.. (2012). Transcriptome of the adult female malaria mosquito vector Anopheles albimanus. BMC Genomics. 13(1). 207–207. 33 indexed citations
13.
MacCallum, Robert M., Seth Redmond, & George K. Christophides. (2011). An expression map for Anopheles gambiae. BMC Genomics. 12(1). 620–620. 21 indexed citations
14.
Jung, Sook, Naama Menda, Seth Redmond, et al.. (2011). The Chado Natural Diversity module: a new generic database schema for large-scale phenotyping and genotyping data. Database. 2011(0). bar051–bar051. 32 indexed citations
15.
Mégy, Karyn, Scott Emrich, Daniel Lawson, et al.. (2011). VectorBase: improvements to a bioinformatics resource for invertebrate vector genomics. Nucleic Acids Research. 40(D1). D729–D734. 120 indexed citations
16.
Neafsey, Daniel E., Mara Lawniczak, Daniel J. Park, et al.. (2010). SNP Genotyping Defines Complex Gene-Flow Boundaries Among African Malaria Vector Mosquitoes. Science. 330(6003). 514–517. 135 indexed citations
17.
Redmond, Seth, Mark Carrington, Keith Gull, et al.. (2006). Chromosome-Wide Analysis of Gene Function by RNA Interference in the African Trypanosome. Eukaryotic Cell. 5(9). 1539–1549. 71 indexed citations
18.
Redmond, Seth, Jamuna Vadivelu, & Mark C. Field. (2003). RNAit: an automated web-based tool for the selection of RNAi targets in Trypanosoma brucei. Molecular and Biochemical Parasitology. 128(1). 115–118. 198 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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