Madeline R. Luth

1.4k total citations
17 papers, 510 citations indexed

About

Madeline R. Luth is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Madeline R. Luth has authored 17 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 5 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Madeline R. Luth's work include Malaria Research and Control (8 papers), HIV/AIDS drug development and treatment (4 papers) and Computational Drug Discovery Methods (2 papers). Madeline R. Luth is often cited by papers focused on Malaria Research and Control (8 papers), HIV/AIDS drug development and treatment (4 papers) and Computational Drug Discovery Methods (2 papers). Madeline R. Luth collaborates with scholars based in United States, United Kingdom and France. Madeline R. Luth's co-authors include David E. Crowley, Lauren Hale, Elizabeth A. Winzeler, R.M. Kenney, Sabine Ottilie, Purva Gupta, David A. Fidock, Alex Rosenberg, Michael S. Behnke and L. David Sibley and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Madeline R. Luth

16 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madeline R. Luth United States 11 136 113 112 108 57 17 510
Sanaullah Khan Pakistan 14 41 0.3× 53 0.5× 68 0.6× 11 0.1× 7 0.1× 47 576
Pranav Kumar India 15 190 1.4× 127 1.1× 243 2.2× 8 0.1× 3 0.1× 37 596
Abdellatif Haggoud Morocco 13 40 0.3× 130 1.2× 144 1.3× 40 0.4× 1 0.0× 31 484
Annelie Elväng Sweden 9 61 0.4× 95 0.8× 153 1.4× 11 0.1× 10 392
Maxime Manno France 5 15 0.1× 89 0.8× 164 1.5× 8 0.1× 3 0.1× 5 507
Boris Fedorov United States 6 18 0.1× 74 0.7× 543 4.8× 7 0.1× 6 0.1× 10 759
Robert Donofrio United States 9 40 0.3× 137 1.2× 211 1.9× 7 0.1× 1 0.0× 29 558
A Bacic Australia 7 71 0.5× 258 2.3× 149 1.3× 14 0.1× 9 592
Mamta Rani India 9 10 0.1× 192 1.7× 241 2.2× 8 0.1× 5 0.1× 20 613
G. Prabakaran India 14 55 0.4× 133 1.2× 261 2.3× 2 0.0× 4 0.1× 39 476

Countries citing papers authored by Madeline R. Luth

Since Specialization
Citations

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

Fields of papers citing papers by Madeline R. Luth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madeline R. Luth. 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 Madeline R. Luth. The network helps show where Madeline R. Luth may publish in the future.

Co-authorship network of co-authors of Madeline R. Luth

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

All Works

17 of 17 papers shown
1.
Bopp, Selina, Lọla Fagbami, Amy Deik, et al.. (2025). Disruption of P. falciparum amino acid transporter elevates intracellular proline and induces resistance to Prolyl-tRNA synthetase inhibitors. Cell chemical biology. 32(10). 1293–1302.e5.
2.
Mandt, Rebecca, Madeline R. Luth, Ralph Mazitschek, et al.. (2023). Diverse evolutionary pathways challenge the use of collateral sensitivity as a strategy to suppress resistance. eLife. 12. 4 indexed citations
3.
Wang, Jinhua, Eva S. Istvan, Madeline R. Luth, et al.. (2023). Human Polo-like Kinase Inhibitors as Antiplasmodials. ACS Infectious Diseases. 9(4). 1004–1021. 4 indexed citations
4.
Payne, N. Connor, C. Johansson, Sofia A. Santos, et al.. (2022). Elucidating the path to Plasmodium prolyl-tRNA synthetase inhibitors that overcome halofuginone resistance. Nature Communications. 13(1). 4976–4976. 16 indexed citations
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.
Rocamora, Frances, Purva Gupta, Eva S. Istvan, et al.. (2021). PfMFR3: A Multidrug-Resistant Modulator in Plasmodium falciparum. ACS Infectious Diseases. 7(4). 811–825. 12 indexed citations
7.
Luth, Madeline R. & Elizabeth A. Winzeler. (2020). SnapShot: Antimalarial Drugs. Cell. 183(2). 554–554.e1. 3 indexed citations
8.
Abraham, Matthew, Kerstin Gagaring, Manu Vanaerschot, et al.. (2020). Probing the Open Global Health Chemical Diversity Library for Multistage-Active Starting Points for Next-Generation Antimalarials. ACS Infectious Diseases. 6(4). 613–628. 22 indexed citations
9.
Rosenberg, Alex, Madeline R. Luth, Elizabeth A. Winzeler, Michael S. Behnke, & L. David Sibley. (2019). Evolution of resistance in vitro reveals mechanisms of artemisinin activity in Toxoplasma gondii. Proceedings of the National Academy of Sciences. 116(52). 26881–26891. 28 indexed citations
10.
Mandt, Rebecca, María José Lafuente-Monasterio, Tomoyo Sakata‐Kato, et al.. (2019). In vitro selection predicts malaria parasite resistance to dihydroorotate dehydrogenase inhibitors in a mouse infection model. Science Translational Medicine. 11(521). 22 indexed citations
11.
Stokes, Barbara H., Euna Yoo, James M. Murithi, et al.. (2019). Covalent Plasmodium falciparum-selective proteasome inhibitors exhibit a low propensity for generating resistance in vitro and synergize with multiple antimalarial agents. PLoS Pathogens. 15(6). e1007722–e1007722. 49 indexed citations
12.
Ottilie, Sabine, et al.. (2019). Using in vitro evolution and whole genome analysis (IVIEWGA) to identify targets of antiparasitic compounds. Faculty of 1000 Research Ltd. 3. 1 indexed citations
13.
Luth, Madeline R., Purva Gupta, Sabine Ottilie, & Elizabeth A. Winzeler. (2018). Using in Vitro Evolution and Whole Genome Analysis To Discover Next Generation Targets for Antimalarial Drug Discovery. ACS Infectious Diseases. 4(3). 301–314. 53 indexed citations
14.
Debnath, Anjan, Cláudia M. Calvet, Wenxu Zhou, et al.. (2017). CYP51 is an essential drug target for the treatment of primary amoebic meningoencephalitis (PAM). PLoS neglected tropical diseases. 11(12). e0006104–e0006104. 47 indexed citations
15.
Kinsinger, Nichola M., et al.. (2016). Efficacy of post-harvest rinsing and bleach disinfection of E. coli O157:H7 on spinach leaf surfaces. Food Microbiology. 62. 212–220. 13 indexed citations
16.
Hale, Lauren, Madeline R. Luth, R.M. Kenney, & David E. Crowley. (2014). Evaluation of pinewood biochar as a carrier of bacterial strain Enterobacter cloacae UW5 for soil inoculation. Applied Soil Ecology. 84. 192–199. 76 indexed citations
17.
Hale, Lauren, Madeline R. Luth, & David E. Crowley. (2014). Biochar characteristics relate to its utility as an alternative soil inoculum carrier to peat and vermiculite. Soil Biology and Biochemistry. 81. 228–235. 153 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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