Christopher Connor
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Escherichia coli research studies
- Vibrio bacteria research studies
Papers in
-
- Antibiotic Resistance in Bacteria 8
-
- Escherichia coli research studies 6
- Vibrio bacteria research studies 2
- Co-authors
- Alan McNally (8 shared papers)Steven Dunn (2 shared papers)Jukka Corander (2 shared papers)Rebecca J Hall (2 shared papers)Teemu Kallonen (1 shared paper)Sharon J. Peacock (1 shared paper)Khalil Abudahab (1 shared paper)James O. McInerney (2 shared papers)
- Journals
- Microbial Genomics (5 papers)Antimicrobial Agents and Chemotherapy (2 papers)PLoS Biology (1 paper)Microbiology (1 paper)mBio (1 paper)
- Partner nations
- United KingdomAustraliaFinland
In The Last Decade
Christopher Connor
13 papers receiving 380 citations
Peers
Comparison fields: 5 of 66
- Molecular Medicine 191
- Endocrinology 119
- Applied Microbiology and Biotechnology 14
- Clinical Biochemistry 32
- Pollution 50
Countries citing papers authored by Christopher Connor
This map shows the geographic impact of Christopher Connor'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 Christopher Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Connor more than expected).
Fields of papers citing papers by Christopher Connor
This network shows the impact of papers produced by Christopher Connor. 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 Christopher Connor. The network helps show where Christopher Connor may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Connor, 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 | 2019 | 120 | |
| 2 | 2019 | 79 | |
| 3 | 2018 | 41 | |
| 4 | 2021 | 38 | |
| 5 | 2021 | 25 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 20 | |
| 8 | 1996 | 16 | |
| 9 | 2025 | 7 | |
| 10 | 2025 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Christopher Connor
Christopher Connor is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Clinical Biochemistry and Genetics, having authored 15 papers that have together received 384 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Escherichia coli research studies (6 papers), Bacterial Identification and Susceptibility Testing (4 papers), Bacterial Genetics and Biotechnology (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (191 citations), Endocrinology (119 citations), Applied Microbiology and Biotechnology (14 citations), Clinical Biochemistry (32 citations) and Pollution (50 citations). Christopher Connor has collaborated with scholars based in United Kingdom, Australia and Finland. Frequent co-authors include Alan McNally, Steven Dunn, Jukka Corander, Rebecca J Hall, Teemu Kallonen, Sharon J. Peacock, Khalil Abudahab, James O. McInerney, Zhiyong Zong and Yu Feng. Their work appears in journals such as Microbial Genomics, Antimicrobial Agents and Chemotherapy, PLoS Biology, Microbiology and mBio.
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.