Conor J. Meehan
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 39
- Epidemiology top 2%
- Mycobacterium research and diagnosis 40
- Pneumocystis jirovecii pneumonia detection and treatment 5
- Biological Psychiatry top 5%
- Small Animals top 2%
- Infectious Diseases and Mycology 7
- Microbiology top 5%
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- Genomics and Phylogenetic Studies 11
- Gut microbiota and health 9
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- Diagnosis and treatment of tuberculosis 7
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- Antibiotic Resistance in Bacteria 6
- Co-authors
- Robert G. BeikoMorgan G. I. LangilleBouke C. de JongLeen RigoutsJeremy E. KoenigAkhilesh S. DhananiSusan E. HowlettRobert A. Rose
- Journals
- Infection Genetics and Evolution (5 papers)Microbial Genomics (4 papers)Genome Biology and Evolution (4 papers)
- Partner nations
- BelgiumUnited KingdomUnited States
In The Last Decade
Conor J. Meehan
71 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Infectious Diseases 1.1k
- Epidemiology 1.3k
- Biological Psychiatry 78
- Small Animals 220
- Microbiology 18
Countries citing papers authored by Conor J. Meehan
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
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
The 25 scholars most cited alongside Conor J. Meehan, 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 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2021 | 51 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 41 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 51 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 105 | |
| 14 | 2018 | 83 | |
| 15 | 2017 | 109 | |
| 16 | 2017 | 24 | |
| 17 | 2017 | 13 | |
| 18 | 2016 | 29 | |
| 19 | 2013 | 146 | |
| 20 | 2012 | 5 |
About Conor J. Meehan
Conor J. Meehan is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (40 papers), Tuberculosis Research and Epidemiology (39 papers), Genomics and Phylogenetic Studies (11 papers), Gut microbiota and health (9 papers), Diagnosis and treatment of tuberculosis (7 papers), Infectious Diseases and Mycology (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Epidemiology (1.3k citations) and Biological Psychiatry (78 citations). Conor J. Meehan has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent 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. Their work appears in journals such as Infection Genetics and Evolution, Microbial Genomics, Genome Biology and Evolution, Scientific Reports and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.
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.