Heath Murray
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Genetics top 1%
- Bacterial Genetics and Biotechnology
Papers in
-
- DNA Repair Mechanisms 17
- RNA and protein synthesis mechanisms 9
- DNA and Nucleic Acid Chemistry 5
- Genomics and Chromatin Dynamics 3
- Genetics 32
- Bacterial Genetics and Biotechnology 32
- Co-authors
- Jeff Errington (9 shared papers)Richard L. Gourse (5 shared papers)David A. Schneider (2 shared papers)Jan‐Willem Veening (4 shared papers)Alan Koh (6 shared papers)Henrique Ferreira (1 shared paper)Antoine Le Gall (2 shared papers)Diego I. Cattoni (2 shared papers)
- Journals
- Molecular Microbiology (7 papers)Nucleic Acids Research (5 papers)Nature Communications (3 papers)The EMBO Journal (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Heath Murray
37 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 100
- Molecular Medicine 223
- Genetics 1.2k
- Endocrinology 173
- Ecology 558
- Molecular Biology 1.3k
Countries citing papers authored by Heath Murray
This map shows the geographic impact of Heath Murray'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 Heath Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heath Murray more than expected).
Fields of papers citing papers by Heath Murray
This network shows the impact of papers produced by Heath Murray. 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 Heath Murray. The network helps show where Heath Murray may publish in the future.
Co-authors
The 25 scholars most cited alongside Heath Murray, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 205 | |
| 2 | 2008 | 163 | |
| 3 | 2003 | 162 | |
| 4 | 2006 | 119 | |
| 5 | 2017 | 107 | |
| 6 | 2009 | 103 | |
| 7 | 2003 | 90 | |
| 8 | 2016 | 82 | |
| 9 | 2010 | 80 | |
| 10 | 2012 | 76 | |
| 11 | 2017 | 74 | |
| 12 | 2016 | 55 | |
| 13 | 2009 | 55 | |
| 14 | 2010 | 47 | |
| 15 | 2014 | 42 | |
| 16 | 2005 | 36 | |
| 17 | 2021 | 36 | |
| 18 | 2002 | 33 | |
| 19 | 2013 | 32 | |
| 20 | 2004 | 29 |
About Heath Murray
Heath Murray is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Materials Chemistry, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (32 papers), DNA Repair Mechanisms (17 papers), Bacteriophages and microbial interactions (14 papers), RNA and protein synthesis mechanisms (9 papers), DNA and Nucleic Acid Chemistry (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers), Enzyme Structure and Function (4 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Molecular Medicine (223 citations), Genetics (1.2k citations), Endocrinology (173 citations), Ecology (558 citations) and Molecular Biology (1.3k citations). Heath Murray has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Jeff Errington, Richard L. Gourse, David A. Schneider, Jan‐Willem Veening, Alan Koh, Henrique Ferreira, Antoine Le Gall, Diego I. Cattoni, Jean-Bernard Fiche and Marcelo Nöllmann. Their work appears in journals such as Molecular Microbiology, Nucleic Acids Research, Nature Communications, The EMBO Journal and Proceedings of the National Academy of Sciences.
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.