Tim Dallman
Impact in
- Endocrinology top 0.5%
- 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 3
- Food Science 15
- Salmonella and Campylobacter epidemiology 15
- Co-authors
- Philip Ashton (8 shared papers)John Wain (5 shared papers)Wolfgang Rabsch (2 shared papers)Satheesh Nair (1 shared paper)Salvatore Rubino (1 shared paper)Solomon Mwaigwisya (1 shared paper)Justin O’Grady (1 shared paper)Claire Jenkins (7 shared papers)
- Journals
- Microbial Genomics (4 papers)Eurosurveillance (4 papers)Journal of Clinical Microbiology (2 papers)Emerging infectious diseases (2 papers)Epidemiology and Infection (2 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Tim Dallman
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 88
- Endocrinology 507
- Molecular Medicine 316
- Food Science 529
- Biotechnology 234
- Infectious Diseases 299
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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 328 | |
| 2 | 2016 | 212 | |
| 3 | 2007 | 76 | |
| 4 | 2016 | 75 | |
| 5 | 2017 | 66 | |
| 6 | 2012 | 62 | |
| 7 | 2016 | 60 | |
| 8 | 2017 | 58 | |
| 9 | 2017 | 57 | |
| 10 | 2015 | 51 | |
| 11 | 2011 | 46 | |
| 12 | 2012 | 44 | |
| 13 | 2016 | 44 | |
| 14 | 2018 | 43 | |
| 15 | 2015 | 39 | |
| 16 | 2009 | 36 | |
| 17 | 2017 | 31 | |
| 18 | 2015 | 28 | |
| 19 | 2020 | 23 | |
| 20 | 2015 | 22 |
About Tim Dallman
Tim Dallman is a scholar working on Endocrinology, Food Science, Infectious Diseases, Ecology and Molecular Biology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Escherichia coli research studies (15 papers), Salmonella and Campylobacter epidemiology (15 papers), Viral gastroenteritis research and epidemiology (10 papers), Bacteriophages and microbial interactions (6 papers), Vibrio bacteria research studies (5 papers), Listeria monocytogenes in Food Safety (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Enterobacteriaceae and Cronobacter Research (3 papers). The work is most often cited by research in Endocrinology (507 citations), Molecular Medicine (316 citations), Food Science (529 citations), Biotechnology (234 citations) and Infectious Diseases (299 citations). Tim Dallman has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Philip Ashton, John Wain, Wolfgang Rabsch, Satheesh Nair, Salvatore Rubino, Solomon Mwaigwisya, Justin O’Grady, Claire Jenkins, Kathie Grant and Eelco Franz. Their work appears in journals such as Microbial Genomics, Eurosurveillance, Journal of Clinical Microbiology, Emerging infectious diseases and Epidemiology and Infection.
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.