Jon Cuccui
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Microbiology top 5%
Papers in ⓘ
-
- Glycosylation and Glycoproteins Research 7
- Genomics and Phylogenetic Studies 4
- Epidemiology 13
- Burkholderia infections and melioidosis 10
- Co-authors
- Brendan W. Wren (38 shared papers)Emily J. Kay (5 shared papers)Richard W. Titball (4 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)mBio (3 papers)Open Biology (3 papers)Frontiers in Veterinary Science (2 papers)
- Partner nations
- United KingdomThailandUnited States
In The Last Decade
Jon Cuccui
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Endocrinology 188
- Microbiology 111
- Molecular Medicine 67
- Epidemiology 362
- Infectious Diseases 150
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 100 | |
| 2 | 2014 | 97 | |
| 3 | 2006 | 79 | |
| 4 | 2013 | 74 | |
| 5 | 2012 | 67 | |
| 6 | 2012 | 64 | |
| 7 | 2008 | 59 | |
| 8 | 2014 | 53 | |
| 9 | 2012 | 44 | |
| 10 | 2014 | 41 | |
| 11 | 2016 | 35 | |
| 12 | 2019 | 35 | |
| 13 | 2015 | 32 | |
| 14 | 2009 | 31 | |
| 15 | 2020 | 29 | |
| 16 | 2018 | 28 | |
| 17 | 2010 | 27 | |
| 18 | 2018 | 26 | |
| 19 | 2017 | 26 | |
| 20 | 2021 | 24 |
About Jon Cuccui
Jon Cuccui is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Ecology and Endocrinology, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (11 papers), Viral gastroenteritis research and epidemiology (11 papers), Escherichia coli research studies (10 papers), Burkholderia infections and melioidosis (10 papers), Salmonella and Campylobacter epidemiology (9 papers), Glycosylation and Glycoproteins Research (7 papers), Genomics and Phylogenetic Studies (4 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Endocrinology (188 citations), Microbiology (111 citations), Molecular Medicine (67 citations), Epidemiology (362 citations) and Infectious Diseases (150 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 Mitali Sarkar‐Tyson. Their work appears in journals such as Microbial Cell Factories, Infection and Immunity, mBio, Open Biology and Frontiers in Veterinary Science.
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.