Gordon Langsley

6.6k total citations
136 papers, 4.9k citations indexed

About

Gordon Langsley is a scholar working on Public Health, Environmental and Occupational Health, Parasitology and Molecular Biology. According to data from OpenAlex, Gordon Langsley has authored 136 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Public Health, Environmental and Occupational Health, 53 papers in Parasitology and 47 papers in Molecular Biology. Recurrent topics in Gordon Langsley's work include Malaria Research and Control (47 papers), Mosquito-borne diseases and control (37 papers) and Vector-borne infectious diseases (34 papers). Gordon Langsley is often cited by papers focused on Malaria Research and Control (47 papers), Mosquito-borne diseases and control (37 papers) and Vector-borne infectious diseases (34 papers). Gordon Langsley collaborates with scholars based in France, United Kingdom and United States. Gordon Langsley's co-authors include Marie Chaussepied, Odile Mercereau‐Puijalon, Najwane Said Sadier, David M. Ojcius, Eduardo Padilla, Jintana Patarapotikul, Regina Lizundia, John G. Scaife, Dirk Werling and Christian Doerig and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gordon Langsley

133 papers receiving 4.8k citations

Author Peers

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

Author Last Decade Papers Cites
Gordon Langsley 2.2k 1.8k 1.7k 1.3k 1.2k 136 4.9k
Volker T. Heussler 2.5k 1.1× 1.0k 0.6× 1.5k 0.9× 914 0.7× 1.2k 1.1× 114 4.6k
Nicolás Fasel 2.6k 1.2× 1.4k 0.8× 571 0.3× 1.7k 1.3× 943 0.8× 117 4.5k
Kai Matuschewski 4.9k 2.2× 2.3k 1.3× 1.8k 1.0× 1.1k 0.9× 2.2k 1.9× 160 7.3k
David J. Kemp 2.7k 1.2× 1.5k 0.8× 1.2k 0.7× 615 0.5× 1.0k 0.9× 91 5.2k
Juan C. Engel 2.2k 1.0× 1.4k 0.8× 815 0.5× 2.4k 1.9× 275 0.2× 67 4.4k
Imogene Schneider 3.4k 1.6× 2.2k 1.3× 690 0.4× 509 0.4× 1.4k 1.2× 51 5.6k
Photini Sinnis 3.7k 1.7× 1.3k 0.7× 853 0.5× 722 0.6× 1.8k 1.5× 98 5.0k
Kirk Deitsch 4.0k 1.8× 1.7k 1.0× 788 0.5× 802 0.6× 1.7k 1.5× 93 5.6k
Ute Frevert 3.2k 1.5× 1.2k 0.6× 1.1k 0.7× 1.1k 0.9× 1.8k 1.5× 63 4.8k
Giel G. van Dooren 1.5k 0.7× 1.9k 1.1× 1.9k 1.2× 1.1k 0.9× 821 0.7× 61 4.5k

Countries citing papers authored by Gordon Langsley

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Langsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Langsley

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon Langsley. A scholar is included among the top collaborators of Gordon Langsley 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 Gordon Langsley. Gordon Langsley 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.
Hemmink, Johanneke D., et al.. (2025). Theileria annulata infects B-cells in sheep, which display lower dissemination potential compared to T. lestoquardi-infected ovine B-cells. Ticks and Tick-borne Diseases. 16(2). 102443–102443.
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More, Kunal R., Inderjeet Kaur, Quentin Giai Gianetto, et al.. (2020). Phosphorylation-Dependent Assembly of a 14-3-3 Mediated Signaling Complex during Red Blood Cell Invasion by Plasmodium falciparum Merozoites. mBio. 11(4). 12 indexed citations
4.
Venugopal, Kannan, Elisabeth Werkmeister, Nicolas Barois, et al.. (2020). Rab11A regulates dense granule transport and secretion during Toxoplasma gondii invasion of host cells and parasite replication. PLoS Pathogens. 16(5). e1008106–e1008106. 26 indexed citations
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Ansari, Hifzur Rahman, Eszter Szarka, Anita Alexa, et al.. (2018). Theileria highjacks JNK2 into a complex with the macroschizont GPI (GlycosylPhosphatidylInositol)-anchored surface protein p104. Cellular Microbiology. 21(3). e12973–e12973. 13 indexed citations
7.
Pineda, Miguel A., et al.. (2017). Apicomplexan autophagy and modulation of autophagy in parasite-infected host cells. Biomedical Journal. 40(1). 23–30. 23 indexed citations
8.
Venugopal, Kannan, Elisabeth Werkmeister, Nicolas Barois, et al.. (2017). Dual role of the Toxoplasma gondii clathrin adaptor AP1 in the sorting of rhoptry and microneme proteins and in parasite division. PLoS Pathogens. 13(4). e1006331–e1006331. 38 indexed citations
9.
Bouyer, Guillaume, Luc Reininger, Ghania Ramdani, et al.. (2016). Plasmodium falciparum infection induces dynamic changes in the erythrocyte phospho-proteome. Blood Cells Molecules and Diseases. 58. 35–44. 15 indexed citations
10.
Sakura, Takaya, Fabien Sindikubwabo, Lena K. Oesterlin, et al.. (2016). A Critical Role for Toxoplasma gondii Vacuolar Protein Sorting VPS9 in Secretory Organelle Biogenesis and Host Infection. Scientific Reports. 6(1). 38842–38842. 25 indexed citations
11.
Morse, David, et al.. (2016). Plasmodium falciparum Rab1A Localizes to Rhoptries in Schizonts. PLoS ONE. 11(6). e0158174–e0158174. 8 indexed citations
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Touré, Aminata, Gordon Langsley, & Stéphane Égée. (2012). Spermatozoa and Plasmodium zoites: the same way to invade oocyte and host cells?. Microbes and Infection. 14(10). 874–879. 5 indexed citations
14.
Haste, Nina M., et al.. (2012). Exploring the Plasmodium falciparum cyclic-adenosine monophosphate (cAMP)-dependent protein kinase (PfPKA) as a therapeutic target. Microbes and Infection. 14(10). 838–850. 32 indexed citations
15.
Cock‐Rada, Alicia, Souhila Medjkane, Natacha Janski, et al.. (2011). SMYD3 Promotes Cancer Invasion by Epigenetic Upregulation of the Metalloproteinase MMP-9. Cancer Research. 72(3). 810–820. 139 indexed citations
16.
Rached, Fathia Ben, Hana Talabani, Hélène Yera, et al.. (2011). Construction of a Plasmodium falciparum Rab‐interactome identifies CK1 and PKA as Rab‐effector kinases in malaria parasites. Biology of the Cell. 104(1). 34–47. 20 indexed citations
17.
Boulkroun, Sheerazed, Laure Guenin‐Macé, Maria‐Isabel Thoulouze, et al.. (2009). Mycolactone Suppresses T Cell Responsiveness by Altering Both Early Signaling and Posttranslational Events. The Journal of Immunology. 184(3). 1436–1444. 66 indexed citations
18.
Merckx, Anaïs, Aude Echalier, Audrey Sicard, et al.. (2008). Structures of P. falciparum Protein Kinase 7 Identify an Activation Motif and Leads for Inhibitor Design. Structure. 16(2). 228–238. 50 indexed citations
19.
Doerig, Caroline, Caroline Doerig, Daniel Parzy, et al.. (1996). A MAP kinase homologue from the human malaria parasite, Plasmodium falciparum. Gene. 177(1-2). 1–6. 56 indexed citations
20.
Patarapotikul, Jintana & Gordon Langsley. (1988). Chromosome size polymorphism inPlasmodium falciparumcan involve deletions of the subtelomeric pPFrep20 sequence. Nucleic Acids Research. 16(10). 4331–4340. 57 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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