Mary C. Gray
Impact in
- Microbiology top 0.2%
- Bacterial Infections and Vaccines
- Endocrinology top 0.5%
- Escherichia coli research studies
Papers in
- Microbiology 43
- Bacterial Infections and Vaccines 42
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- Ion channel regulation and function 8
- RNA and protein synthesis mechanisms 7
- Co-authors
- Erik L. Hewlett (43 shared papers)V M Gordon (4 shared papers)Gina M. Donato (8 shared papers)Ingrid Ehrmann (5 shared papers)L S Gray (4 shared papers)Joshua C. Eby (7 shared papers)Alison A. Weiss (4 shared papers)Angela S. Otero (4 shared papers)
- Journals
- Infection and Immunity (12 papers)Journal of Biological Chemistry (9 papers)Molecular Microbiology (5 papers)FEBS Letters (3 papers)Journal of Bacteriology (3 papers)
- Partner nations
- United StatesUnited KingdomThailand
In The Last Decade
Mary C. Gray
56 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 92
- Microbiology 1.2k
- Endocrinology 503
- Genetics 471
- Infectious Diseases 252
- Epidemiology 436
Countries citing papers authored by Mary C. Gray
This map shows the geographic impact of Mary C. 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 Mary C. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary C. Gray more than expected).
Fields of papers citing papers by Mary C. Gray
This network shows the impact of papers produced by Mary C. 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 Mary C. Gray. The network helps show where Mary C. Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary C. 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 130 | |
| 2 | 1989 | 104 | |
| 3 | 1989 | 96 | |
| 4 | 1991 | 86 | |
| 5 | 1998 | 84 | |
| 6 | 2005 | 80 | |
| 7 | 1995 | 80 | |
| 8 | 1991 | 73 | |
| 9 | 1994 | 70 | |
| 10 | 2000 | 69 | |
| 11 | 2014 | 66 | |
| 12 | 1989 | 62 | |
| 13 | 1999 | 53 | |
| 14 | 1995 | 52 | |
| 15 | 2013 | 50 | |
| 16 | 2002 | 49 | |
| 17 | 2004 | 46 | |
| 18 | 2012 | 45 | |
| 19 | 2011 | 41 | |
| 20 | 2001 | 33 |
About Mary C. Gray
Mary C. Gray is a scholar working on Microbiology, Molecular Biology, Genetics, Endocrinology and Infectious Diseases, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (42 papers), Bacterial Genetics and Biotechnology (14 papers), Escherichia coli research studies (11 papers), Ion channel regulation and function (8 papers), Clostridium difficile and Clostridium perfringens research (7 papers), RNA and protein synthesis mechanisms (7 papers), Pneumonia and Respiratory Infections (6 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Microbiology (1.2k citations), Endocrinology (503 citations), Genetics (471 citations), Infectious Diseases (252 citations) and Epidemiology (436 citations). Mary C. Gray has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Erik L. Hewlett, V M Gordon, Gina M. Donato, Ingrid Ehrmann, L S Gray, Joshua C. Eby, Alison A. Weiss, Angela S. Otero, Eileen M. Barry and Mary Goodwin-Trotman. Their work appears in journals such as Infection and Immunity, Journal of Biological Chemistry, Molecular Microbiology, FEBS Letters and Journal of Bacteriology.
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.