Maya A. Farha
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Microbiology top 1%
- Antimicrobial Peptides and Activities
Papers in
-
- Antibiotic Resistance in Bacteria 15
- Pharmacology 12
- Microbial Natural Products and Biosynthesis 9
- Antibiotics Pharmacokinetics and Efficacy 3
- Co-authors
- Eric D. BrownBrian K. CoombesShawn FrenchGerard D. WrightLinda EjimJan WildenhainShannon B. FalconerMike Tyers
- Journals
- ACS Infectious Diseases (5 papers)Antimicrobial Agents and Chemotherapy (2 papers)Nature Microbiology (2 papers)Nature Communications (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
Maya A. Farha
25 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Medicine 825
- Microbiology 385
- Applied Microbiology and Biotechnology 79
- Pharmacology 400
- Endocrinology 94
Countries citing papers authored by Maya A. Farha
This map shows the geographic impact of Maya A. Farha'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 Maya A. Farha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya A. Farha more than expected).
Fields of papers citing papers by Maya A. Farha
This network shows the impact of papers produced by Maya A. Farha. 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 Maya A. Farha. The network helps show where Maya A. Farha may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya A. Farha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 24 | |
| 8 | Drug repurposing for antimicrobial discovery Hit paper breakdown → | 2019 | 255 |
| 9 | 2019 | 80 | |
| 10 | 2018 | 14 | |
| 11 | 2017 | 268 | |
| 12 | 2017 | 99 | |
| 13 | 2015 | 76 | |
| 14 | 2015 | 46 | |
| 15 | 2013 | 20 | |
| 16 | 2013 | 192 | |
| 17 | 2012 | 171 | |
| 18 | 2011 | 423 | |
| 19 | 2010 | 14 | |
| 20 | 2010 | 57 |
About Maya A. Farha
Maya A. Farha is a scholar working on Molecular Medicine, Pharmacology, Applied Microbiology and Biotechnology, Microbiology and Infectious Diseases, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Microbial Natural Products and Biosynthesis (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Genetics and Biotechnology (5 papers), Computational Drug Discovery Methods (4 papers), Click Chemistry and Applications (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Molecular Medicine (825 citations), Microbiology (385 citations), Applied Microbiology and Biotechnology (79 citations), Pharmacology (400 citations) and Endocrinology (94 citations). Maya A. Farha has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Eric D. Brown, Brian K. Coombes, Shawn French, Gerard D. Wright, Linda Ejim, Jan Wildenhain, Shannon B. Falconer, Mike Tyers, Jonathan Stokes and Chris P. Verschoor. Their work appears in journals such as ACS Infectious Diseases, Antimicrobial Agents and Chemotherapy, Nature Microbiology, Nature Communications and Bioorganic & Medicinal Chemistry Letters.
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.