Jeff Maltas

696 total citations
11 papers, 235 citations indexed

About

Jeff Maltas is a scholar working on Genetics, Molecular Medicine and Sociology and Political Science. According to data from OpenAlex, Jeff Maltas has authored 11 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 4 papers in Molecular Medicine and 3 papers in Sociology and Political Science. Recurrent topics in Jeff Maltas's work include Evolution and Genetic Dynamics (10 papers), Antibiotic Resistance in Bacteria (4 papers) and Evolutionary Game Theory and Cooperation (3 papers). Jeff Maltas is often cited by papers focused on Evolution and Genetic Dynamics (10 papers), Antibiotic Resistance in Bacteria (4 papers) and Evolutionary Game Theory and Cooperation (3 papers). Jeff Maltas collaborates with scholars based in United States, France and Norway. Jeff Maltas's co-authors include Kevin B. Wood, Jacob G. Scott, Arda Durmaz, Davis T. Weaver, Andriy Marusyk, Nathan Farrokhian, Masahiro Hitomi, Artem Kaznatcheev, Patrick Ellsworth and Kris C. Wood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Evolution and PLoS Biology.

In The Last Decade

Jeff Maltas

10 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Maltas United States	8	129	82	57	31	28	11	235
Ayşegül Güvenek United States	8	166 1.3×	207 2.5×	121 2.1×	25 0.8×	22 0.8×	9	417
Guillaume Chevereau France	7	102 0.8×	251 3.1×	52 0.9×	16 0.5×	11 0.4×	8	374
Tommie C. Victor South Africa	11	47 0.4×	165 2.0×	119 2.1×	4 0.1×	6 0.2×	11	644
Zheren Zhang Netherlands	8	106 0.8×	158 1.9×	33 0.6×	4 0.1×	14 0.5×	10	263
David C. Marciano United States	11	104 0.8×	219 2.7×	110 1.9×	4 0.1×	3 0.1×	14	364
Anja R. Ollodart United States	8	74 0.6×	169 2.1×	11 0.2×	16 0.5×	7 0.3×	10	260
Safee Ullah Chaudhary Pakistan	12	24 0.2×	127 1.5×	12 0.2×	19 0.6×	5 0.2×	32	311
Elad Firnberg United States	5	166 1.3×	308 3.8×	24 0.4×	7 0.2×	19 0.7×	9	357
Gael Pérez‐Rodríguez Spain	9	16 0.1×	204 2.5×	22 0.4×	4 0.1×	8 0.3×	24	290
Marius Surleac Romania	11	21 0.2×	180 2.2×	113 2.0×	12 0.4×	5 0.2×	30	400

Countries citing papers authored by Jeff Maltas

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Maltas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Maltas

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

All Works

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11 of 11 papers shown

Weaver, Davis T., et al.. (2025). Fitness seascapes are necessary for realistic modeling of the evolutionary response to drug therapy. Science Advances. 11(24). eadv1268–eadv1268.

Maltas, Jeff, Anh Huynh, & Kevin B. Wood. (2025). Dynamic collateral sensitivity profiles highlight opportunities and challenges for optimizing antibiotic treatments. PLoS Biology. 23(1). e3002970–e3002970. 2 indexed citations

Maltas, Jeff, et al.. (2024). Frequency-Dependent Ecological Interactions Increase the Prevalence, and Shape the Distribution, of Preexisting Drug Resistance. PubMed. 2(2). 6 indexed citations

Weaver, Davis T., et al.. (2024). Reinforcement learning informs optimal treatment strategies to limit antibiotic resistance. Proceedings of the National Academy of Sciences. 121(16). e2303165121–e2303165121. 10 indexed citations

Maltas, Jeff, et al.. (2023). Drug dependence in cancer is exploitable by optimally constructed treatment holidays. Nature Ecology & Evolution. 8(1). 147–162. 14 indexed citations

Farrokhian, Nathan, Jeff Maltas, Arda Durmaz, et al.. (2022). Measuring competitive exclusion in non–small cell lung cancer. Science Advances. 8(26). eabm7212–eabm7212. 31 indexed citations

Maltas, Jeff, et al.. (2020). Antibiotic interactions shape short-term evolution of resistance in E. faecalis. PLoS Pathogens. 16(3). e1008278–e1008278. 27 indexed citations

Maltas, Jeff, et al.. (2020). Evolution in alternating environments with tunable interlandscape correlations. Evolution. 75(1). 10–24. 7 indexed citations

Maltas, Jeff, et al.. (2019). Using Selection by Nonantibiotic Stressors to Sensitize Bacteria to Antibiotics. Molecular Biology and Evolution. 37(5). 1394–1406. 14 indexed citations

10.

Maltas, Jeff & Kevin B. Wood. (2019). Pervasive and diverse collateral sensitivity profiles inform optimal strategies to limit antibiotic resistance. PLoS Biology. 17(10). e3000515–e3000515. 75 indexed citations

11.

Maltas, Jeff, et al.. (2016). Population Density Modulates Drug Inhibition and Gives Rise to Potential Bistability of Treatment Outcomes for Bacterial Infections. PLoS Computational Biology. 12(10). e1005098–e1005098. 49 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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