Greg Tram
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Microbiology top 10%
Papers in
-
- Bacterial Infections and Vaccines 4
- Microbial infections and disease research 3
-
- Salmonella and Campylobacter epidemiology 7
- Co-authors
- Victoria Korolik (9 shared papers)Christopher J. Day (9 shared papers)John M. Atack (9 shared papers)Lauren E. Hartley‐Tassell (5 shared papers)Michael P. Jennings (8 shared papers)Zachary N. Phillips (6 shared papers)Rebecca M. King (3 shared papers)Kate L. Seib (1 shared paper)
- Journals
- BMC Microbiology (2 papers)Scientific Reports (2 papers)Advances in microbial physiology (2 papers)mSphere (1 paper)Infection and Immunity (1 paper)
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Greg Tram
18 papers receiving 425 citations
Peers
Comparison fields: 5 of 67
- Endocrinology 99
- Microbiology 58
- Molecular Medicine 34
- Food Science 128
- Ecology 97
Countries citing papers authored by Greg Tram
This map shows the geographic impact of Greg Tram'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 Greg Tram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Tram more than expected).
Fields of papers citing papers by Greg Tram
This network shows the impact of papers produced by Greg Tram. 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 Greg Tram. The network helps show where Greg Tram may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Tram, 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 | 2015 | 102 | |
| 2 | 2019 | 58 | |
| 3 | 2016 | 53 | |
| 4 | 2020 | 32 | |
| 5 | 2012 | 29 | |
| 6 | 2013 | 27 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 16 | |
| 11 | 2013 | 14 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2019 | 2 |
About Greg Tram
Greg Tram is a scholar working on Microbiology, Food Science, Molecular Biology, Ecology and Endocrinology, having authored 18 papers that have together received 434 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (7 papers), Bacteriophages and microbial interactions (6 papers), Aquaculture disease management and microbiota (4 papers), Bacterial Infections and Vaccines (4 papers), Microbial infections and disease research (3 papers), Bacterial biofilms and quorum sensing (3 papers), Escherichia coli research studies (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Endocrinology (99 citations), Microbiology (58 citations), Molecular Medicine (34 citations), Food Science (128 citations) and Ecology (97 citations). Greg Tram has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Victoria Korolik, Christopher J. Day, John M. Atack, Lauren E. Hartley‐Tassell, Michael P. Jennings, Zachary N. Phillips, Rebecca M. King, Kate L. Seib, Evgeny A. Semchenko and P. J. Blackall. Their work appears in journals such as BMC Microbiology, Scientific Reports, Advances in microbial physiology, mSphere and Infection and Immunity.
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.