Greg Clark
Impact in
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- Genetic Neurodegenerative Diseases
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- Mitochondrial Function and Pathology
- DNA Repair Mechanisms
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA Research and Splicing
Papers in
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- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
- Protein Structure and Dynamics 2
- Protist diversity and phylogeny 1
- Genomics and Phylogenetic Studies 1
- Genetics 2
- Genetic and Kidney Cyst Diseases 1
- Yersinia bacterium, plague, ectoparasites research 1
- Co-authors
- Elisabeth R.M. Tillier (6 shared papers)Kevin Manley (1 shared paper)Darren G. Monckton (1 shared paper)Jodie P. Simard (1 shared paper)Meghan M. Slean (1 shared paper)Meera Swami (1 shared paper)Peggy Shelbourne (1 shared paper)Stéphanie Tomé (1 shared paper)
- Journals
- Biochemistry and Cell Biology (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Microbial Biotechnology (1 paper)Molecular Biology and Evolution (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Greg Clark
7 papers receiving 190 citations
Peers
Comparison fields: 5 of 48
- Cellular and Molecular Neuroscience 84
- Molecular Biology 158
- Genetics 41
- Microbiology 9
- Neurology 22
Countries citing papers authored by Greg Clark
This map shows the geographic impact of Greg Clark'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 Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Clark more than expected).
Fields of papers citing papers by Greg Clark
This network shows the impact of papers produced by Greg Clark. 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 Clark. The network helps show where Greg Clark may publish in the future.
Co-authors
The 18 scholars most cited alongside Greg Clark, 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 | 2013 | 109 | |
| 2 | 2010 | 28 | |
| 3 | 2012 | 16 | |
| 4 | 2011 | 14 | |
| 5 | 2014 | 13 | |
| 6 | 2010 | 11 | |
| 7 | 2001 | 1 |
About Greg Clark
Greg Clark is a scholar working on Molecular Biology, Genetics, Surgery, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 192 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Protein Structure and Dynamics (2 papers), Genetic and Kidney Cyst Diseases (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper), Genetic factors in colorectal cancer (1 paper), Protist diversity and phylogeny (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (84 citations), Molecular Biology (158 citations), Genetics (41 citations), Microbiology (9 citations) and Neurology (22 citations). Greg Clark has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Elisabeth R.M. Tillier, Kevin Manley, Darren G. Monckton, Jodie P. Simard, Meghan M. Slean, Meera Swami, Peggy Shelbourne, Stéphanie Tomé, Christopher E. Pearson and Anne Messer. Their work appears in journals such as Biochemistry and Cell Biology, JNCI Journal of the National Cancer Institute, Microbial Biotechnology, Molecular Biology and Evolution and BMC Bioinformatics.
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.