Maha Farhat

7.2k total citations · 1 hit paper
70 papers, 2.6k citations indexed

About

Maha Farhat is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Maha Farhat has authored 70 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Infectious Diseases, 51 papers in Epidemiology and 23 papers in Molecular Biology. Recurrent topics in Maha Farhat's work include Tuberculosis Research and Epidemiology (51 papers), Mycobacterium research and diagnosis (42 papers) and Genomics and Phylogenetic Studies (8 papers). Maha Farhat is often cited by papers focused on Tuberculosis Research and Epidemiology (51 papers), Mycobacterium research and diagnosis (42 papers) and Genomics and Phylogenetic Studies (8 papers). Maha Farhat collaborates with scholars based in United States, United Kingdom and South Africa. Maha Farhat's co-authors include Madhukar Pai, Christina Greenaway, Dick Menzies, Megan Murray, Luca Freschi, Alexander A. C. Leung, Sean M. Bagshaw, Imran Sajjad, Constantine Karvellas and Ron Wald and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Maha Farhat

66 papers receiving 2.6k citations

Hit Papers

Drug-resistant tuberculosis: a persistent global health c... 2024 2026 2025 2024 20 40 60
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. Drug-resistant tuberculosis: a persistent global health concern
    2024 70 citations Maha Farhat et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maha Farhat United States 24 1.6k 1.3k 776 712 246 70 2.6k
Maha Boktour United States 24 942 0.6× 1.1k 0.9× 483 0.6× 304 0.4× 63 0.3× 31 2.6k
Joost Wauters Belgium 27 1.1k 0.7× 913 0.7× 215 0.3× 338 0.5× 99 0.4× 117 2.4k
Ali J. Olyaei United States 27 1.7k 1.1× 1.8k 1.4× 274 0.4× 833 1.2× 211 0.9× 70 3.9k
Sue J. Lee United Kingdom 38 561 0.4× 719 0.6× 341 0.4× 241 0.3× 155 0.6× 97 4.1k
Cheng‐Yi Wang Taiwan 23 1.0k 0.7× 394 0.3× 408 0.5× 189 0.3× 156 0.6× 88 2.7k
Chao Wu China 30 1.0k 0.6× 1.0k 0.8× 516 0.7× 319 0.4× 46 0.2× 189 3.1k
Tim Planche United Kingdom 31 1.7k 1.1× 1.4k 1.1× 400 0.5× 295 0.4× 33 0.1× 94 3.3k
Dinesh Gupta India 33 656 0.4× 391 0.3× 1.3k 1.7× 542 0.8× 108 0.4× 211 3.7k
Xavier Aldeguer Spain 17 422 0.3× 1.2k 0.9× 993 1.3× 878 1.2× 227 0.9× 55 2.7k
Julien Textoris France 32 344 0.2× 1.1k 0.8× 806 1.0× 250 0.4× 146 0.6× 113 2.9k

Countries citing papers authored by Maha Farhat

Since Specialization
Citations

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

Fields of papers citing papers by Maha Farhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maha Farhat

This figure shows the co-authorship network connecting the top 25 collaborators of Maha Farhat. A scholar is included among the top collaborators of Maha Farhat 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 Maha Farhat. Maha Farhat 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.
Marin, Maximillian G., Natalia Quinones‐Olvera, Brendan M. Jeffrey, et al.. (2025). Pitfalls of bacterial pan-genome analysis approaches: a case study of Mycobacterium tuberculosis and two less clonal bacterial species. Bioinformatics. 41(5). 2 indexed citations
2.
Laurent, Sacha, Paolo Miotto, A Sarah Walker, et al.. (2025). Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis. Nature Communications. 16(1). 2149–2149. 1 indexed citations
3.
Marin, Maximillian G., Michael R. Chase, Shoko Wakabayashi, et al.. (2025). Complete genome sequence of a virulent barcoded Mycobacterium tuberculosis str. Erdman commonly used for non-human primate infection studies. Microbiology Resource Announcements. 14(3). e0123224–e0123224.
4.
5.
Dixit, Avika, Yasha Ektefaie, Anju Kagal, et al.. (2024). Drug Resistance and Epidemiological Success of Modern Mycobacterium tuberculosis Lineages in Western India. The Journal of Infectious Diseases. 231(1). 84–93. 2 indexed citations
6.
Azhir, Alaleh, Ingrid V. Bassett, Douglas S. Bell, et al.. (2024). Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19. Med. 6(3). 100532–100532. 2 indexed citations
7.
Vargas, Roger, Luca Freschi, Maximillian G. Marin, et al.. (2023). Phase variation as a major mechanism of adaptation in Mycobacterium tuberculosis complex. Proceedings of the National Academy of Sciences. 120(28). e2301394120–e2301394120. 17 indexed citations
8.
Atre, Sachin, et al.. (2023). HEALTH SYSTEM RELATED BARRIERS TO MULTIDRUG-RESISTANT TUBERCULOSIS (MDR-TB) CARE IN AN INDIAN SETTING: FROM PATIENTS’ PERSPECTIVE. International Journal of Infectious Diseases. 130. S8–S8. 1 indexed citations
9.
10.
Brown, Tyler S., Shaheed Vally Omar, Lavania Joseph, et al.. (2023). Genotype–Phenotype Characterization of Serial Mycobacterium tuberculosis Isolates in Bedaquiline-Resistant Tuberculosis. Clinical Infectious Diseases. 78(2). 269–276. 9 indexed citations
11.
Ektefaie, Yasha, et al.. (2023). Multimodal learning with graphs. Nature Machine Intelligence. 5(4). 340–350. 76 indexed citations
12.
Ness, Tara, Alexander Kay, Rojelio Mejía, et al.. (2022). Optimizing DNA Extraction from Pediatric Stool for Diagnosis of Tuberculosis and Use in Next-Generation Sequencing Applications. Microbiology Spectrum. 11(1). e0226922–e0226922. 7 indexed citations
13.
Ness, Tara, Andrew R. DiNardo, & Maha Farhat. (2022). High Throughput Sequencing for Clinical Tuberculosis: An Overview. Pathogens. 11(11). 1343–1343. 10 indexed citations
14.
Vargas, Roger, Luca Freschi, Andrea Spitaleri, et al.. (2021). Role of Epistasis in Amikacin, Kanamycin, Bedaquiline, and Clofazimine Resistance in Mycobacterium tuberculosis Complex. Antimicrobial Agents and Chemotherapy. 65(11). e0116421–e0116421. 38 indexed citations
15.
Atre, Sachin, et al.. (2021). Tuberculosis Pathways to Care and Transmission of Multidrug Resistance in India. American Journal of Respiratory and Critical Care Medicine. 205(2). 233–241. 13 indexed citations
16.
17.
Farhat, Maha, Luca Freschi, Róger Calderón, et al.. (2019). GWAS for quantitative resistance phenotypes in Mycobacterium tuberculosis reveals resistance genes and regulatory regions. Nature Communications. 10(1). 2128–2128. 105 indexed citations
18.
Schubert, Benjamin, Rohan Maddamsetti, Jackson Nyman, Maha Farhat, & Debora S. Marks. (2018). Genome-wide discovery of epistatic loci affecting antibiotic resistance in Neisseria gonorrhoeae using evolutionary couplings. Nature Microbiology. 4(2). 328–338. 31 indexed citations
19.
Nebenzahl-Guimaraes, Hanna, Arjan van Laarhoven, Maha Farhat, et al.. (2017). Transmissible Mycobacterium tuberculosis Strains Share Genetic Markers and Immune Phenotypes. American Journal of Respiratory and Critical Care Medicine. 195(11). 1519–1527. 23 indexed citations
20.
Farhat, Maha, Răzvan Sultana, Oleg Iartchouk, et al.. (2016). Genetic Determinants of Drug Resistance in Mycobacterium tuberculosis and Their Diagnostic Value. American Journal of Respiratory and Critical Care Medicine. 194(5). 621–630. 101 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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