David Giesbrecht

895 total citations · 1 hit paper
17 papers, 330 citations indexed

About

David Giesbrecht is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, David Giesbrecht has authored 17 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 3 papers in Infectious Diseases and 3 papers in Computational Theory and Mathematics. Recurrent topics in David Giesbrecht's work include Malaria Research and Control (12 papers), Mosquito-borne diseases and control (9 papers) and Computational Drug Discovery Methods (3 papers). David Giesbrecht is often cited by papers focused on Malaria Research and Control (12 papers), Mosquito-borne diseases and control (9 papers) and Computational Drug Discovery Methods (3 papers). David Giesbrecht collaborates with scholars based in United States, Canada and United Kingdom. David Giesbrecht's co-authors include Steve Whyard, Jeffrey A. Bailey, Samuel L. Nsobya, Éric Marois, Jennifer Legac, Jérémy Bouyer, Roland A. Cooper, Thomas Katairo, Patrick K. Tumwebaze and Melissa D. Conrad and has published in prestigious journals such as New England Journal of Medicine, Nature Communications and PLoS ONE.

In The Last Decade

David Giesbrecht

14 papers receiving 324 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evolution of Partial Resistance to Artemisinins in Malaria Parasites in Uganda

2023 92 citations Melissa D. Conrad, Victor Asua et al. New England Journal of Medicine profile →

Peers

David Giesbrecht

PHEOH

CTM

PHARM

Charlotte Rasmussen United States

Badria El-Sayed Sudan

Julian Muwanguzi United Kingdom

Christopher L. Peatey Australia

Maurice A. Itoe United States

Agnès Zettor France

Atitaya Hitakarun Thailand

Victoria Corey United States

Jennifer L. Güler United States

Sue Fleck United Kingdom

Charlotte Rasmussen United States

David Giesbrecht

199 ×1.0

PHEOH

175 ×1.8

62 ×0.7

81 ×1.1

CTM

41 ×1.3

PHARM

Citations per year, relative to David Giesbrecht David Giesbrecht (= 1×) peers Charlotte Rasmussen

Countries citing papers authored by David Giesbrecht

Since Specialization

Citations

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

Fields of papers citing papers by David Giesbrecht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Giesbrecht

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

All Works

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17 of 17 papers shown

Morgan, Camille, Corine Karema, Hillary M. Topazian, et al.. (2025). Prevalence of asymptomatic non-falciparum and falciparum malaria in the 2014-15 Rwanda Demographic Health Survey. PLoS ONE. 20(9). e0330480–e0330480.

Orena, Stephen, Patrick K. Tumwebaze, Oswald Byaruhanga, et al.. (2024). Ex vivo susceptibilities to ganaplacide and diversity in potential resistance mediators in Ugandan Plasmodium falciparum isolates. Antimicrobial Agents and Chemotherapy. 68(9). e0046624–e0046624.

Popkin-Hall, Zachary R., Misago D. Seth, Rashid A. Madebe, et al.. (2024). Prevalence of non-falciparum malaria infections among asymptomatic individuals in four regions of Mainland Tanzania. Parasites & Vectors. 17(1). 153–153. 2 indexed citations

Hathaway, Nicholas J., Emily C. Liang, Christian P. Nixon, et al.. (2024). Interchromosomal segmental duplication drives translocation and loss of P. falciparum histidine-rich protein 3. eLife. 13.

Giesbrecht, David, Tharcisse Munyaneza, Claude Mambo Muvunyi, et al.. (2024). Expansion of artemisinin partial resistance mutations and lack of histidine rich protein-2 and -3 deletions in Plasmodium falciparum infections from Rukara, Rwanda. Malaria Journal. 23(1). 150–150. 7 indexed citations

Popkin-Hall, Zachary R., Karamoko Niaré, Alfred Simkin, et al.. (2024). High-throughput genotyping of Plasmodium vivax in the Peruvian Amazon via molecular inversion probes. Nature Communications. 15(1). 10219–10219. 1 indexed citations

Hathaway, Nicholas J., Emily C. Liang, Christian P. Nixon, et al.. (2024). Interchromosomal segmental duplication drives translocation and loss of P. falciparum histidine-rich protein 3. eLife. 13. 2 indexed citations

Giesbrecht, David, et al.. (2023). Durable wall lining for malaria control in Liberia: results of a cluster randomized trial. Malaria Journal. 22(1). 15–15. 2 indexed citations

Giesbrecht, David, Corine Karema, Oliver J. Watson, et al.. (2023). Examining the Early Distribution of the Artemisinin-Resistant Plasmodium falciparum kelch13 R561H Mutation in Areas of Higher Transmission in Rwanda. Open Forum Infectious Diseases. 10(4). ofad149–ofad149. 10 indexed citations

10.

Popkin-Hall, Zachary R., Misago D. Seth, Rashid A. Madebe, et al.. (2023). Malaria Species Positivity Rates Among Symptomatic Individuals Across Regions of Differing Transmission Intensities in Mainland Tanzania. The Journal of Infectious Diseases. 229(4). 959–968. 8 indexed citations

11.

Conrad, Melissa D., Victor Asua, David Giesbrecht, et al.. (2023). Evolution of Partial Resistance to Artemisinins in Malaria Parasites in Uganda. New England Journal of Medicine. 389(8). 722–732. 92 indexed citations breakdown →

12.

Tumwebaze, Patrick K., Melissa D. Conrad, Stephen Orena, et al.. (2022). Decreased susceptibility of Plasmodium falciparum to both dihydroartemisinin and lumefantrine in northern Uganda. Nature Communications. 13(1). 6353–6353. 63 indexed citations

13.

Giesbrecht, David, et al.. (2020). RNA Interference Is Enhanced by Knockdown of Double-Stranded RNases in the Yellow Fever Mosquito Aedes aegypti. Insects. 11(6). 327–327. 27 indexed citations

14.

Giesbrecht, David, et al.. (2019). Sex Sorting for Pest Control: It’s Raining Men!. Trends in Parasitology. 35(8). 649–662. 60 indexed citations

15.

Giesbrecht, David, et al.. (2019). Efficiency of RNA interference is improved by knockdown of dsRNA nucleases in tephritid fruit flies. Open Biology. 9(12). 190198–190198. 43 indexed citations

16.

Langevin, Scott M., et al.. (2016). Graph mapping: Multi-scale community visualization of massive graph data. Information Visualization. 16(3). 190–204. 4 indexed citations

17.

Taati, Babak, Jasper Snoek, David Giesbrecht, & Alex Mihailidis. (2010). Water Flow Detection in a Handwashing Task. 175–182. 9 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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