Matthew Zimmerman

1.5k total citations · 1 hit paper
41 papers, 936 citations indexed

About

Matthew Zimmerman is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Matthew Zimmerman has authored 41 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 24 papers in Epidemiology and 13 papers in Molecular Biology. Recurrent topics in Matthew Zimmerman's work include Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (16 papers) and Infectious Diseases and Mycology (7 papers). Matthew Zimmerman is often cited by papers focused on Tuberculosis Research and Epidemiology (19 papers), Mycobacterium research and diagnosis (16 papers) and Infectious Diseases and Mycology (7 papers). Matthew Zimmerman collaborates with scholars based in United States, Ethiopia and South Africa. Matthew Zimmerman's co-authors include Véronique Dartois, Zongqiang Wang, Sean F. Brady, Yözen Hernández, Bimal Koirala, David S. Perlin, Steven Park, W. Minor, Thomas Dick and Martin Gengenbacher and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew Zimmerman

39 papers receiving 919 citations

Hit Papers

A naturally inspired antibiotic to target multidrug-resis... 2022 2026 2023 2024 2022 50 100 150
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.

  1. A naturally inspired antibiotic to target multidrug-resistant pathogens
    2022 158 citations Zongqiang Wang, Bimal Koirala et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Zimmerman United States 17 353 337 324 126 124 41 936
Carolyn Shoen United States 16 335 0.9× 465 1.4× 366 1.1× 53 0.4× 125 1.0× 31 829
Santiago Ramón‐García Spain 16 393 1.1× 564 1.7× 451 1.4× 118 0.9× 280 2.3× 31 1.0k
Antônio Ferreira‐Pereira Brazil 20 415 1.2× 402 1.2× 264 0.8× 69 0.5× 59 0.5× 64 1.2k
Wonsik Lee South Korea 14 639 1.8× 454 1.3× 235 0.7× 110 0.9× 172 1.4× 43 1.1k
Anjan Debnath United States 24 687 1.9× 559 1.7× 219 0.7× 55 0.4× 87 0.7× 61 1.8k
Jichan Jang South Korea 19 499 1.4× 494 1.5× 414 1.3× 135 1.1× 62 0.5× 43 1.0k
Lynn Miesel United States 17 440 1.2× 307 0.9× 203 0.6× 129 1.0× 178 1.4× 28 825
Alison F. Chalker United States 14 800 2.3× 198 0.6× 210 0.6× 159 1.3× 126 1.0× 15 1.3k
Syed Aun Muhammad Pakistan 17 547 1.5× 119 0.4× 150 0.5× 97 0.8× 72 0.6× 98 1.2k
Poonpilas Hongmanee Thailand 14 330 0.9× 278 0.8× 192 0.6× 76 0.6× 60 0.5× 27 861

Countries citing papers authored by Matthew Zimmerman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Zimmerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Zimmerman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Zimmerman. A scholar is included among the top collaborators of Matthew Zimmerman 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 Matthew Zimmerman. Matthew Zimmerman 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.
Koh, Eun‐Ik, Megan K. Proulx, Kadamba Papavinasasundaram, et al.. (2025). Chemical genetic interactions elucidate pathways controlling tuberculosis antibiotic efficacy during infection. Proceedings of the National Academy of Sciences. 122(9). e2417525122–e2417525122. 1 indexed citations
2.
Wasserman, Sean, Maureen Dougher, Firat Kaya, et al.. (2024). Rifabutin central nervous system concentrations in a rabbit model of tuberculous meningitis. Antimicrobial Agents and Chemotherapy. 68(8). e0078324–e0078324.
3.
Datta, Meenal, Laura E. Via, Véronique Dartois, et al.. (2024). Normalizing granuloma vasculature and matrix improves drug delivery and reduces bacterial burden in tuberculosis-infected rabbits. Proceedings of the National Academy of Sciences. 121(14). e2321336121–e2321336121. 10 indexed citations
4.
Ponce, Allison N., Timothy A. Cavell, CATHERINE L. GRUS, et al.. (2023). CCTC 2020: Addressing social responsiveness in health service psychology education and training.. Training and Education in Professional Psychology. 17(1). 4–13. 2 indexed citations
5.
Walter, Nicholas D., Allison Bauman, Karen Rossmassler, et al.. (2023). Lung microenvironments harbor Mycobacterium tuberculosis phenotypes with distinct treatment responses. Antimicrobial Agents and Chemotherapy. 67(9). e0028423–e0028423. 13 indexed citations
6.
Negatu, Dereje A., Mónica Cacho, David Barros-Aguirre, et al.. (2023). Activity of Oral Tebipenem-Avibactam in a Mouse Model of Mycobacterium abscessus Lung Infection. Antimicrobial Agents and Chemotherapy. 67(2). e0145922–e0145922. 16 indexed citations
7.
Park, Steven, Riccardo Russo, Matthew Zimmerman, et al.. (2022). A Novel Oral GyrB/ParE Dual Binding Inhibitor Effective against Multidrug-Resistant Neisseria gonorrhoeae and Other High-Threat Pathogens. Antimicrobial Agents and Chemotherapy. 66(9). e0041422–e0041422. 8 indexed citations
8.
Sarathy, Jickky Palmae, Matthew Zimmerman, Martin Gengenbacher, Véronique Dartois, & Thomas Dick. (2022). Mycobacterium tuberculosis DprE1 Inhibitor OPC-167832 Is Active against Mycobacterium abscessus In Vitro. Antimicrobial Agents and Chemotherapy. 66(12). e0123722–e0123722. 14 indexed citations
9.
Negatu, Dereje A., Matthew Zimmerman, Véronique Dartois, & Thomas Dick. (2022). Strongly Bactericidal All-Oral β-Lactam Combinations for the Treatment of Mycobacterium abscessus Lung Disease. Antimicrobial Agents and Chemotherapy. 66(9). e0079022–e0079022. 23 indexed citations
10.
Negatu, Dereje A., Randy R. Miller, Christopher W. Boyce, et al.. (2022). Activity of Tricyclic Pyrrolopyrimidine Gyrase B Inhibitor against Mycobacterium abscessus. Antimicrobial Agents and Chemotherapy. 66(9). e0066922–e0066922. 9 indexed citations
11.
Lan, Tian, Uday S. Ganapathy, Sachin Sharma, et al.. (2022). Redesign of Rifamycin Antibiotics to Overcome ADP‐Ribosylation‐Mediated Resistance. Angewandte Chemie. 134(45). 2 indexed citations
12.
Robaa, Dina, Dereje A. Negatu, Nadine Álvarez, et al.. (2022). Structure–Activity Relationship of Anti-Mycobacterium abscessus Piperidine-4-carboxamides, a New Class of NBTI DNA Gyrase Inhibitors. ACS Medicinal Chemistry Letters. 13(3). 417–427. 9 indexed citations
13.
Kaya, Firat, et al.. (2022). Spatial quantitation of antibiotics in bone tissue compartments by laser-capture microdissection coupled with UHPLC-tandem mass spectrometry. Analytical and Bioanalytical Chemistry. 414(23). 6919–6927. 2 indexed citations
14.
Wang, Zongqiang, Bimal Koirala, Yözen Hernández, Matthew Zimmerman, & Sean F. Brady. (2022). Bioinformatic prospecting and synthesis of a bifunctional lipopeptide antibiotic that evades resistance. Science. 376(6596). 991–996. 74 indexed citations
15.
Wang, Zongqiang, Bimal Koirala, Yözen Hernández, et al.. (2022). A naturally inspired antibiotic to target multidrug-resistant pathogens. Nature. 601(7894). 606–611. 158 indexed citations breakdown →
16.
Jo, Jay‐Hyun, Catriona P. Harkins, Matthew Zimmerman, et al.. (2021). Alterations of human skin microbiome and expansion of antimicrobial resistance after systemic antibiotics. Science Translational Medicine. 13(625). eabd8077–eabd8077. 71 indexed citations
17.
Verma, Deepshikha, Lian J. Pennings, Matthew Zimmerman, et al.. (2019). Clofazimine inhalation suspension for the aerosol treatment of pulmonary nontuberculous mycobacterial infections. Journal of Cystic Fibrosis. 18(5). 714–720. 51 indexed citations
18.
Grabowski, M., E. Niedzialkowska, Matthew Zimmerman, & W. Minor. (2016). The impact of structural genomics: the first quindecennial. Journal of Structural and Functional Genomics. 17(1). 1–16. 50 indexed citations
19.
Zheng, Heping, et al.. (2015). X-ray crystallography over the past decade for novel drug discovery – where are we heading next?. Expert Opinion on Drug Discovery. 10(9). 975–989. 62 indexed citations
20.
Li, Chun, Bo Liu, Jonathan Chang, et al.. (2012). A modern in vivo pharmacokinetic paradigm: combining snapshot, rapid and full PK approaches to optimize and expedite early drug discovery. Drug Discovery Today. 18(1-2). 71–78. 31 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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