Tim Dallman
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 15
- Vibrio bacteria research studies 5
- Enterobacteriaceae and Cronobacter Research 4
- Food Science 15
- Salmonella and Campylobacter epidemiology 15
- Co-authors
- Philip AshtonJohn WainWolfgang RabschSatheesh NairSalvatore RubinoSolomon MwaigwisyaJustin O’GradyClaire Jenkins
- Journals
- Microbial Genomics (4 papers)Eurosurveillance (3 papers)Journal of Food Protection (2 papers)Journal of Clinical Microbiology (2 papers)Emerging infectious diseases (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Tim Dallman
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Endocrinology 505
- Molecular Medicine 328
- Food Science 526
- Biotechnology 231
- Infectious Diseases 333
Countries citing papers authored by Tim Dallman
This map shows the geographic impact of Tim Dallman'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 Tim Dallman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Dallman more than expected).
Fields of papers citing papers by Tim Dallman
This network shows the impact of papers produced by Tim Dallman. 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 Tim Dallman. The network helps show where Tim Dallman may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Dallman, 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 | 2022 | 18 | |
| 2 | 2021 | 14 | |
| 3 | 2020 | 21 | |
| 4 | 2018 | 42 | |
| 5 | 2017 | 5 | |
| 6 | 2017 | 63 | |
| 7 | 2017 | 56 | |
| 8 | 2017 | 3 | |
| 9 | 2016 | 17 | |
| 10 | 2016 | 212 | |
| 11 | 2015 | 27 | |
| 12 | 2015 | 21 | |
| 13 | 2015 | 39 | |
| 14 | 2015 | 49 | |
| 15 | 2014 | 321 | |
| 16 | 2014 | 16 | |
| 17 | 2013 | 17 | |
| 18 | 2011 | 45 | |
| 19 | 2009 | 36 | |
| 20 | 2007 | 75 |
About Tim Dallman
Tim Dallman is a scholar working on Endocrinology, Food Science, Infectious Diseases, Molecular Medicine and Biotechnology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (15 papers), Escherichia coli research studies (15 papers), Viral gastroenteritis research and epidemiology (12 papers), Bacteriophages and microbial interactions (8 papers), Vibrio bacteria research studies (5 papers), Listeria monocytogenes in Food Safety (5 papers), Enterobacteriaceae and Cronobacter Research (4 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Endocrinology (505 citations), Molecular Medicine (328 citations), Food Science (526 citations), Biotechnology (231 citations) and Infectious Diseases (333 citations). Tim Dallman has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Philip Ashton, John Wain, Wolfgang Rabsch, Satheesh Nair, Salvatore Rubino, Solomon Mwaigwisya, Justin O’Grady, Claire Jenkins, Eelco Franz and Lapo Mughini Gras. Their work appears in journals such as Microbial Genomics, Eurosurveillance, Journal of Food Protection, Journal of Clinical Microbiology and Emerging infectious diseases.
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.