Joe Gray
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- Bacterial biofilms and quorum sensing 4
- Glycosylation and Glycoproteins Research 3
- Genetics 10
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Waldemar Vollmer (27 shared papers)Jacob Biboy (16 shared papers)Christopher Dennison (3 shared papers)S.J. Firbank (3 shared papers)Kevin J. Waldron (2 shared papers)Nigel J. Robinson (2 shared papers)Arnaud Baslé (3 shared papers)Katsuko Sato (1 shared paper)
- Journals
- Molecular Microbiology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Bacteriology (3 papers)Scientific Reports (3 papers)Nature Microbiology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Joe Gray
44 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 115
- Molecular Medicine 132
- Endocrinology 130
- Microbiology 101
- Nutrition and Dietetics 246
- Parasitology 107
Countries citing papers authored by Joe Gray
This map shows the geographic impact of Joe Gray'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 Joe Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Gray more than expected).
Fields of papers citing papers by Joe Gray
This network shows the impact of papers produced by Joe Gray. 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 Joe Gray. The network helps show where Joe Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Joe Gray, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 254 | |
| 2 | 2018 | 114 | |
| 3 | 2019 | 113 | |
| 4 | 2013 | 109 | |
| 5 | 2017 | 93 | |
| 6 | 2008 | 77 | |
| 7 | 2012 | 73 | |
| 8 | 2011 | 72 | |
| 9 | 2021 | 61 | |
| 10 | 2020 | 48 | |
| 11 | 2020 | 45 | |
| 12 | 2011 | 43 | |
| 13 | 2006 | 43 | |
| 14 | 2006 | 42 | |
| 15 | 2016 | 40 | |
| 16 | 2011 | 40 | |
| 17 | 2008 | 31 | |
| 18 | 2015 | 28 | |
| 19 | 2011 | 28 | |
| 20 | 2019 | 26 |
About Joe Gray
Joe Gray is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Immunology and Infectious Diseases, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), Antibiotic Resistance in Bacteria (7 papers), Bacterial biofilms and quorum sensing (4 papers), Bacteriophages and microbial interactions (4 papers), Glycosylation and Glycoproteins Research (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Immunotherapy and Immune Responses (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Molecular Medicine (132 citations), Endocrinology (130 citations), Microbiology (101 citations), Nutrition and Dietetics (246 citations) and Parasitology (107 citations). Joe Gray has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Waldemar Vollmer, Jacob Biboy, Christopher Dennison, S.J. Firbank, Kevin J. Waldron, Nigel J. Robinson, Arnaud Baslé, Katsuko Sato, Conrad Bessant and Timothy R. Cheek. Their work appears in journals such as Molecular Microbiology, Proceedings of the National Academy of Sciences, Journal of Bacteriology, Scientific Reports and Nature Microbiology.
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.