Christopher M. Thomas
Impact in
- Molecular Medicine top 0.05%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.2%
Papers in
-
- Antibiotic Resistance in Bacteria 56
- Genetics 95
- Bacterial Genetics and Biotechnology 93
- Co-authors
- Kaare Magne NielsenDonald R. HelinskiGrażyna Jagura‐BurdzyJoanne HothersallCarl SmithThomas J. SimpsonChristopher A. SmithDavid H. Figurski
- Journals
- Microbiology (26 papers)Journal of Molecular Biology (13 papers)Nucleic Acids Research (10 papers)PLoS ONE (10 papers)Molecular Microbiology (9 papers)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Christopher M. Thomas
197 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Medicine 2.8k
- Endocrinology 1.1k
- Genetics 4.5k
- Pollution 1.2k
- Ecology 2.6k
Countries citing papers authored by Christopher M. Thomas
This map shows the geographic impact of Christopher M. Thomas'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 M. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Thomas more than expected).
Fields of papers citing papers by Christopher M. Thomas
This network shows the impact of papers produced by Christopher M. Thomas. 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 M. Thomas. The network helps show where Christopher M. Thomas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher M. Thomas, 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 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 6 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 21 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 24 | |
| 11 | 2012 | 69 | |
| 12 | 2007 | 38 | |
| 13 | 2006 | 39 | |
| 14 | 2006 | 11 | |
| 15 | Signals, switches, regulons and cascades : control of bacterial gene expression | 2002 | 30 |
| 16 | 1997 | 19 | |
| 17 | 1993 | 6 | |
| 18 | 1992 | 48 | |
| 19 | Promiscuous plasmids of gram-negative bacteria | 1989 | 131 |
| 20 | [17] Plasmid cloning vehicles derived from plasmids ColE1, F, R6K, and RK2 Hit paper breakdown → | 1979 | 477 |
About Christopher M. Thomas
Christopher M. Thomas is a scholar working on Molecular Medicine, Genetics, Ecology, Endocrinology and Plant Science, having authored 200 papers that have together received 10.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (93 papers), Antibiotic Resistance in Bacteria (56 papers), Genomics and Phylogenetic Studies (40 papers), Legume Nitrogen Fixing Symbiosis (34 papers), Plant Pathogenic Bacteria Studies (32 papers), Bacteriophages and microbial interactions (26 papers), Microbial Natural Products and Biosynthesis (21 papers) and DNA Repair Mechanisms (18 papers). The work is most often cited by research in Molecular Medicine (2.8k citations), Endocrinology (1.1k citations), Genetics (4.5k citations), Pollution (1.2k citations) and Ecology (2.6k citations). Christopher M. Thomas has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Kaare Magne Nielsen, Donald R. Helinski, Grażyna Jagura‐Burdzy, Joanne Hothersall, Carl Smith, Thomas J. Simpson, Christopher A. Smith, David H. Figurski, Christopher A. Smith and Victoria Shingler. Their work appears in journals such as Microbiology, Journal of Molecular Biology, Nucleic Acids Research, PLoS ONE and Molecular 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.