Jon Cuccui
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Microbiology top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 7
- Genomics and Phylogenetic Studies 5
- Epidemiology 13
- Burkholderia infections and melioidosis 10
- Co-authors
- Brendan W. Wren (38 shared papers)Emily J. Kay (5 shared papers)Richard W. Titball (6 shared papers)Vanessa S. Terra (11 shared papers)Dominic C. Mills (3 shared papers)Madeleine G. Moule (4 shared papers)Laura E. Yates (3 shared papers)Mark P. Stevens (9 shared papers)
- Journals
- Microbial Cell Factories (5 papers)Infection and Immunity (4 papers)Microbiology (3 papers)mBio (3 papers)Open Biology (3 papers)
- Partner nations
- United KingdomThailandUnited States
In The Last Decade
Jon Cuccui
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Endocrinology 158
- Microbiology 114
- Molecular Medicine 67
- Epidemiology 370
- Infectious Diseases 137
Countries citing papers authored by Jon Cuccui
This map shows the geographic impact of Jon Cuccui'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 Jon Cuccui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Cuccui more than expected).
Fields of papers citing papers by Jon Cuccui
This network shows the impact of papers produced by Jon Cuccui. 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 Jon Cuccui. The network helps show where Jon Cuccui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Cuccui, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 126 | |
| 2 | 2019 | 105 | |
| 3 | 2014 | 101 | |
| 4 | 2006 | 80 | |
| 5 | 2013 | 78 | |
| 6 | 2012 | 71 | |
| 7 | 2012 | 69 | |
| 8 | 2008 | 59 | |
| 9 | 2014 | 53 | |
| 10 | 2014 | 44 | |
| 11 | 2012 | 44 | |
| 12 | 2016 | 38 | |
| 13 | 2019 | 36 | |
| 14 | 2009 | 32 | |
| 15 | 2015 | 32 | |
| 16 | 2020 | 29 | |
| 17 | 2010 | 29 | |
| 18 | 2018 | 29 | |
| 19 | 2018 | 27 | |
| 20 | 2017 | 27 |
About Jon Cuccui
Jon Cuccui is a scholar working on Molecular Biology, Epidemiology, Ecology, Food Science and Infectious Diseases, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (10 papers), Salmonella and Campylobacter epidemiology (8 papers), Bacteriophages and microbial interactions (8 papers), Glycosylation and Glycoproteins Research (7 papers), Viral gastroenteritis research and epidemiology (7 papers), Escherichia coli research studies (5 papers), Genomics and Phylogenetic Studies (5 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Endocrinology (158 citations), Microbiology (114 citations), Molecular Medicine (67 citations), Epidemiology (370 citations) and Infectious Diseases (137 citations). Jon Cuccui has collaborated with scholars based in United Kingdom, Thailand and United States. Frequent co-authors include Brendan W. Wren, Emily J. Kay, Richard W. Titball, Vanessa S. Terra, Dominic C. Mills, Madeleine G. Moule, Laura E. Yates, Mark P. Stevens, Gregory J. Bancroft and Michael B. Prentice. Their work appears in journals such as Microbial Cell Factories, Infection and Immunity, Microbiology, mBio and Open Biology.
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.