Matthew Hegreness
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Genetics top 5%
- Evolution and Genetic Dynamics
Papers in
- Genetics 6
- Evolution and Genetic Dynamics 6
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- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 1
- Fungal and yeast genetics research 1
- Co-authors
- Roy Kishony (6 shared papers)Noam Shoresh (4 shared papers)Daniel L. Hartl (2 shared papers)Pamela J. Yeh (1 shared paper)Aviva Presser Aiden (1 shared paper)Doris Damian (1 shared paper)Kalin Vetsigian (1 shared paper)Alexander DeLuna (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Science (1 paper)Genome biology (1 paper)Nature Genetics (1 paper)Genetics (1 paper)
- Partner nations
- United States
In The Last Decade
Matthew Hegreness
7 papers receiving 901 citations
Peers
Comparison fields: 5 of 92
- Molecular Medicine 142
- Genetics 460
- Applied Microbiology and Biotechnology 16
- Molecular Biology 444
- Microbiology 39
Countries citing papers authored by Matthew Hegreness
This map shows the geographic impact of Matthew Hegreness'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 Matthew Hegreness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Hegreness more than expected).
Fields of papers citing papers by Matthew Hegreness
This network shows the impact of papers produced by Matthew Hegreness. 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 Matthew Hegreness. The network helps show where Matthew Hegreness may publish in the future.
Co-authors
The 10 scholars most cited alongside Matthew Hegreness, 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 | 2009 | 261 | |
| 2 | 2008 | 245 | |
| 3 | 2006 | 185 | |
| 4 | 2008 | 131 | |
| 5 | 2008 | 57 | |
| 6 | 2007 | 24 | |
| 7 | 2007 | 5 |
About Matthew Hegreness
Matthew Hegreness is a scholar working on Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, Sociology and Political Science and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 908 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Bioinformatics and Genomic Networks (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Computational Drug Discovery Methods (1 paper), Plant Taxonomy and Phylogenetics (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Molecular Medicine (142 citations), Genetics (460 citations), Applied Microbiology and Biotechnology (16 citations), Molecular Biology (444 citations) and Microbiology (39 citations). Matthew Hegreness has collaborated with scholars based in United States. Frequent co-authors include Roy Kishony, Noam Shoresh, Daniel L. Hartl, Pamela J. Yeh, Aviva Presser Aiden, Doris Damian, Kalin Vetsigian, Alexander DeLuna, Maritrini Colón‐González and Matthew Meselson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science, Genome biology, Nature Genetics and Genetics.
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.