Conor J. Meehan

5.6k total citations · 1 hit paper
74 papers, 2.9k citations indexed

About

Conor J. Meehan is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Conor J. Meehan has authored 74 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Epidemiology, 41 papers in Infectious Diseases and 34 papers in Molecular Biology. Recurrent topics in Conor J. Meehan's work include Mycobacterium research and diagnosis (40 papers), Tuberculosis Research and Epidemiology (39 papers) and Genomics and Phylogenetic Studies (11 papers). Conor J. Meehan is often cited by papers focused on Mycobacterium research and diagnosis (40 papers), Tuberculosis Research and Epidemiology (39 papers) and Genomics and Phylogenetic Studies (11 papers). Conor J. Meehan collaborates with scholars based in Belgium, United Kingdom and United States. Conor J. Meehan's co-authors include Robert G. Beiko, Morgan G. I. Langille, Bouke C. de Jong, Leen Rigouts, Jeremy E. Koenig, Akhilesh S. Dhanani, Susan E. Howlett, Robert A. Rose, Eva Boon and Chris Whidden and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

In The Last Decade

Conor J. Meehan

71 papers receiving 2.8k citations

Hit Papers

align trajectories

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.

A Phylogenomic View of Ecological Specialization in the Lachnospiraceae, a Family of Digestive Tract-Associated Bacteria

2014 568 citations Conor J. Meehan, Robert G. Beiko Genome Biology and Evolution profile →

Peers

Conor J. Meehan

EPIDE

SURGE

PHYSI

Kerstin Voigt Germany

Xiaomin Zhao China

Alexander Rodriguez‐Palacios United States

Matteo Ricchi Italy

Sang‐Uk Seo South Korea

Katsuhiko Kamei Japan

Shengqing Yu China

Dirk Repsilber Germany

Teruo Kirikae Japan

Tatsuo Yamamoto Japan

Kerstin Voigt Germany

Conor J. Meehan

1.0k ×0.8

726 ×0.6

EPIDE

920 ×0.9

251 ×0.8

SURGE

187 ×0.6

PHYSI

Citations per year, relative to Conor J. Meehan Conor J. Meehan (= 1×) peers Kerstin Voigt

Countries citing papers authored by Conor J. Meehan

Since Specialization

Citations

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

Fields of papers citing papers by Conor J. Meehan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conor J. Meehan. 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 Conor J. Meehan. The network helps show where Conor J. Meehan may publish in the future.

Co-authorship network of co-authors of Conor J. Meehan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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

Patrick, Sheila, Laura Filkins, Markus Göker, et al.. (2025). ‘What’s in a name? Fit-for-purpose bacterial nomenclature’: meeting report. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 75(7). 3 indexed citations

Windels, Etthel M., Bouke C. de Jong, Conor J. Meehan, et al.. (2025). Onset of infectiousness explains differences in transmissibility across Mycobacterium tuberculosis lineages. Epidemics. 51. 100821–100821. 2 indexed citations

Lempens, Pauline, Armand Van Deun, K. J. M. Aung, et al.. (2023). Borderline rpoB mutations transmit at the same rate as common rpoB mutations in a tuberculosis cohort in Bangladesh. Microbial Genomics. 9(9).

Meaza, Abyot, Conor J. Meehan, Girmay Medhin, et al.. (2023). Genomic transmission clusters and circulating lineages of Mycobacterium tuberculosis among refugees residing in refugee camps in Ethiopia. Infection Genetics and Evolution. 116. 105530–105530. 3 indexed citations

Meehan, Conor J., et al.. (2021). Reconstituting the genus Mycobacterium. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 71(9). 51 indexed citations

Coscollá, Mireia, Boatema Ofori-Anyinam, Isaac Darko Otchere, et al.. (2021). Mycobacterium tuberculosis complex lineage 5 exhibits high levels of within-lineage genomic diversity and differing gene content compared to the type strain H37Rv. Microbial Genomics. 7(7). 12 indexed citations

Guan, Qingtian, Musa A. Garbati, Sara Mfarrej, et al.. (2021). Insights into the ancestry evolution of theMycobacterium tuberculosiscomplex from analysis ofMycobacterium riyadhense. NAR Genomics and Bioinformatics. 3(3). 8 indexed citations

Battaglia, Simone, Andrea Spitaleri, Andrea Maurizio Cabibbe, et al.. (2020). Characterization of Genomic Variants Associated with Resistance to Bedaquiline and Delamanid in Naive Mycobacterium tuberculosis Clinical Strains. Journal of Clinical Microbiology. 58(11). 41 indexed citations

10.

Heupink, Tim H., Nabila Ismail, Anzaan Dippenaar, et al.. (2020). Capacity building for whole genome sequencing of Mycobacterium tuberculosis and bioinformatics in high TB burden countries. Briefings in Bioinformatics. 22(4). 11 indexed citations

11.

Wittouck, Stijn, Sander Wuyts, Conor J. Meehan, Vera van Noort, & Sarah Lebeer. (2019). A Genome-Based Species Taxonomy of the Lactobacillus Genus Complex. mSystems. 4(5). 51 indexed citations

12.

Jong, Bouke C. de, et al.. (2019). Storage of Sputum in Cetylpyridinium Chloride, OMNIgene.SPUTUM, and Ethanol Is Compatible with Molecular Tuberculosis Diagnostic Testing. Journal of Clinical Microbiology. 57(7). 2 indexed citations

13.

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

14.

Meehan, Conor J., Pieter Moris, Thomas A. Kohl, et al.. (2018). The relationship between transmission time and clustering methods in Mycobacterium tuberculosis epidemiology. EBioMedicine. 37. 410–416. 83 indexed citations

15.

Tortoli, Enrico, Tarcisio Fedrizzi, Conor J. Meehan, et al.. (2017). The new phylogeny of the genus Mycobacterium : The old and the news. Infection Genetics and Evolution. 56. 19–25. 109 indexed citations

16.

Vandelannoote, Koen, Conor J. Meehan, Miriam Eddyani, et al.. (2017). Multiple introductions and recent spread of the emerging human pathogen Mycobacterium ulcerans across Africa. Genome Biology and Evolution. 9(3). evx003–evx003. 24 indexed citations

17.

Vandelannoote, Koen, Dissou Affolabi, Françoise Portaels, et al.. (2017). Bacterial diversity in Buruli ulcer skin lesions: Challenges in the clinical microbiome analysis of a skin disease. PLoS ONE. 12(7). e0181994–e0181994. 13 indexed citations

18.

Ssengooba, Willy, Conor J. Meehan, Deus Lukoye, et al.. (2016). Whole genome sequencing to complement tuberculosis drug resistance surveys in Uganda. Infection Genetics and Evolution. 40. 8–16. 29 indexed citations

19.

Boon, Eva, et al.. (2013). Interactions in the microbiome: communities of organisms and communities of genes. FEMS Microbiology Reviews. 38(1). 90–118. 146 indexed citations

20.

Langille, Morgan G. I., Conor J. Meehan, & Robert G. Beiko. (2012). Human Microbiome: A Genetic Bazaar for Microbes?. Current Biology. 22(1). R20–R22. 5 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.

Explore authors with similar magnitude of impact