Michael J. Gray
Impact in
- Biotechnology top 0.5%
- Listeria monocytogenes in Food Safety
- Microbial Inactivation Methods
- Oncology top 2%
- Cancer Cells and Metastasis
Papers in
-
- Angiogenesis and VEGF in Cancer 13
- Enzyme function and inhibition 10
- Oncology 24
- Lymphatic System and Diseases 6
- Co-authors
- Ursula Jakob (12 shared papers)Lee M. Ellis (22 shared papers)Fan Fan (17 shared papers)Nikolaos A. Dallas (13 shared papers)George Van Buren (12 shared papers)Ling Xia (11 shared papers)Sherry J. Lim (7 shared papers)Shaija Samuel (6 shared papers)
- Journals
- Cancer Research (9 papers)Journal of Bacteriology (8 papers)Clinical Cancer Research (6 papers)Molecular Microbiology (4 papers)Journal of Molecular Biology (3 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael J. Gray
109 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 145
- Biotechnology 651
- Oncology 1.6k
- Cancer Research 887
- Genetics 503
- Molecular Biology 3.0k
Countries citing papers authored by Michael J. Gray
This map shows the geographic impact of Michael J. 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 Michael J. Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Gray more than expected).
Fields of papers citing papers by Michael J. Gray
This network shows the impact of papers produced by Michael J. 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 Michael J. Gray. The network helps show where Michael J. Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael J. 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 465 | |
| 2 | 2006 | 442 | |
| 3 | 2005 | 323 | |
| 4 | 2008 | 290 | |
| 5 | 2014 | 274 | |
| 6 | 2013 | 222 | |
| 7 | 2006 | 222 | |
| 8 | 2004 | 208 | |
| 9 | 2005 | 160 | |
| 10 | 2006 | 156 | |
| 11 | 2005 | 154 | |
| 12 | 2015 | 143 | |
| 13 | 2008 | 142 | |
| 14 | 2015 | 136 | |
| 15 | 2009 | 115 | |
| 16 | 2019 | 107 | |
| 17 | 2006 | 105 | |
| 18 | 2017 | 105 | |
| 19 | 2005 | 103 | |
| 20 | 2017 | 95 |
About Michael J. Gray
Michael J. Gray is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Genetics, having authored 112 papers that have together received 6.2k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (15 papers), Angiogenesis and VEGF in Cancer (13 papers), Phagocytosis and Immune Regulation (10 papers), Enzyme function and inhibition (10 papers), Cancer, Hypoxia, and Metabolism (8 papers), Respiratory viral infections research (7 papers), Axon Guidance and Neuronal Signaling (6 papers) and Lymphatic System and Diseases (6 papers). The work is most often cited by research in Biotechnology (651 citations), Oncology (1.6k citations), Cancer Research (887 citations), Genetics (503 citations) and Molecular Biology (3.0k citations). Michael J. Gray has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ursula Jakob, Lee M. Ellis, Fan Fan, Nikolaos A. Dallas, George Van Buren, Ling Xia, Sherry J. Lim, Shaija Samuel, Ray Somcio and Kathryn J. Boor. Their work appears in journals such as Cancer Research, Journal of Bacteriology, Clinical Cancer Research, Molecular Microbiology and Journal of Molecular 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.