Michael J. Delves

5.5k total citations
48 papers, 1.6k citations indexed

About

Michael J. Delves is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Molecular Biology. According to data from OpenAlex, Michael J. Delves has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Public Health, Environmental and Occupational Health, 13 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Michael J. Delves's work include Malaria Research and Control (43 papers), Mosquito-borne diseases and control (28 papers) and Computational Drug Discovery Methods (7 papers). Michael J. Delves is often cited by papers focused on Malaria Research and Control (43 papers), Mosquito-borne diseases and control (28 papers) and Computational Drug Discovery Methods (7 papers). Michael J. Delves collaborates with scholars based in United Kingdom, Switzerland and United States. Michael J. Delves's co-authors include Robert E. Sinden, Didier Leroy, Ursula Straschil, Andrea Ruecker, Chandra Ramakrishnan, Andrew M. Blagborough, Sara R. Marques, Stephan Meister, Elizabeth A. Winzeler and Christian Scheurer and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Clinical Infectious Diseases.

In The Last Decade

Michael J. Delves

47 papers receiving 1.6k citations

Peers

Michael J. Delves
Quinton L. Fivelman United Kingdom
Abhai K. Tripathi United States
Leyla Y. Bustamante United Kingdom
Nirianne Palacpac Japan
Danushka S. Marapana Australia
Naresh Singh United States
Selina Bopp United States
Heather J. Painter United States
Laura A. Kirkman United States
Ursula Straschil United Kingdom
Quinton L. Fivelman United Kingdom
Michael J. Delves
Citations per year, relative to Michael J. Delves Michael J. Delves (= 1×) peers Quinton L. Fivelman

Countries citing papers authored by Michael J. Delves

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Delves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Delves. 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 Michael J. Delves. The network helps show where Michael J. Delves may publish in the future.

Co-authorship network of co-authors of Michael J. Delves

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Delves. A scholar is included among the top collaborators of Michael J. Delves 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 Michael J. Delves. Michael J. Delves 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.
Straschil, Ursula, Oliver Fischer, Ainoa Rueda‐Zubiaurre, et al.. (2023). A novel class of sulphonamides potently block malaria transmission by targeting a Plasmodium vacuole membrane protein. Disease Models & Mechanisms. 16(2). 5 indexed citations
2.
Racanè, Livio, Sanja Koštrun, Silvana Raić‐Malić, et al.. (2023). Bis-6-amidino-benzothiazole Derivative that Cures Experimental Stage 1 African Trypanosomiasis with a Single Dose. Journal of Medicinal Chemistry. 66(18). 13043–13057. 5 indexed citations
3.
Kelly, John M., et al.. (2023). Optimisation-based modelling for explainable lead discovery in malaria. Artificial Intelligence in Medicine. 147. 102700–102700. 3 indexed citations
4.
5.
Lucantoni, Leonardo, Marina Chavchich, Matthew Abraham, et al.. (2021). The Novel bis-1,2,4-Triazine MIPS-0004373 Demonstrates Rapid and Potent Activity against All Blood Stages of the Malaria Parasite. Antimicrobial Agents and Chemotherapy. 65(11). e0031121–e0031121. 7 indexed citations
6.
Miguel-Blanco, Celia, James M. Murithi, Ernest Diez Benavente, et al.. (2021). The antimalarial efficacy and mechanism of resistance of the novel chemotype DDD01034957. Scientific Reports. 11(1). 1888–1888. 7 indexed citations
7.
Witmer, Kathrin, Michael J. Delves, Oliver J. Watson, et al.. (2020). Transmission of Artemisinin-Resistant Malaria Parasites to Mosquitoes under Antimalarial Drug Pressure. Antimicrobial Agents and Chemotherapy. 65(1). 33 indexed citations
8.
Bradley, John, Harouna M Soumaré, Almahamoudou Mahamar, et al.. (2019). Transmission-blocking Effects of Primaquine and Methylene Blue Suggest Plasmodium falciparum Gametocyte Sterilization Rather Than Effects on Sex Ratio. Clinical Infectious Diseases. 69(8). 1436–1439. 18 indexed citations
9.
Zeeshan, Mohammad, David Ferguson, Steven Abel, et al.. (2019). Kinesin-8B controls basal body function and flagellum formation and is key to malaria transmission. Life Science Alliance. 2(4). e201900488–e201900488. 28 indexed citations
10.
Witmer, Kathrin, et al.. (2018). An inexpensive open source 3D-printed membrane feeder for human malaria transmission studies. Malaria Journal. 17(1). 282–282. 13 indexed citations
11.
Delves, Michael J., Fiona Angrisano, & Andrew M. Blagborough. (2018). Antimalarial Transmission-Blocking Interventions: Past, Present, and Future. Trends in Parasitology. 34(9). 735–746. 54 indexed citations
12.
Musset, L., Stéphane Pelleau, Yannick Estevez, et al.. (2015). Use of Plasmodium falciparum culture-adapted field isolates for in vitro exflagellation-blocking assay. Malaria Journal. 14(1). 234–234. 9 indexed citations
13.
Ruecker, Andrea, Derrick Mathias, Ursula Straschil, et al.. (2014). A Male and Female Gametocyte Functional Viability Assay To Identify Biologically Relevant Malaria Transmission-Blocking Drugs. Antimicrobial Agents and Chemotherapy. 58(12). 7292–7302. 87 indexed citations
14.
Straschil, Ursula, et al.. (2014). Changes in metabolic phenotypes of Plasmodium falciparum in vitro cultures during gametocyte development. Malaria Journal. 13(1). 468–468. 32 indexed citations
15.
Sala, Katarzyna, Leanna M. Upton, Sara E. Zakutansky, et al.. (2014). The Plasmodium berghei sexual stage antigen PSOP12 induces anti-malarial transmission blocking immunity both in vivo and in vitro. Vaccine. 33(3). 437–445. 26 indexed citations
16.
Blagborough, Andrew M., Michael J. Delves, Chandra Ramakrishnan, et al.. (2012). Assessing Transmission Blockade in Plasmodium spp.. Methods in molecular biology. 923. 577–600. 42 indexed citations
17.
Churcher, Thomas S., Andrew M. Blagborough, Michael J. Delves, et al.. (2012). Measuring the blockade of malaria transmission – An analysis of the Standard Membrane Feeding Assay. International Journal for Parasitology. 42(11). 1037–1044. 136 indexed citations
18.
Ramakrishnan, Chandra, Michael J. Delves, Kalpana Lal, et al.. (2012). Laboratory Maintenance of Rodent Malaria Parasites. Methods in molecular biology. 923. 51–72. 35 indexed citations
19.
Sinden, Robert E., Andrew M. Blagborough, Thomas S. Churcher, et al.. (2012). The design and interpretation of laboratory assays measuring mosquito transmission of Plasmodium. Trends in Parasitology. 28(11). 457–465. 24 indexed citations
20.
Delves, Michael J. & Robert E. Sinden. (2010). A semi-automated method for counting fluorescent malaria oocysts increases the throughput of transmission blocking studies. Malaria Journal. 9(1). 35–35. 37 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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