Mark S. Guyer
Impact in
- Genetics top 0.01%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 27
- Genomics and Rare Diseases 11
- Genetic Associations and Epidemiology 9
- Bacterial Genetics and Biotechnology 8
- Genomic variations and chromosomal abnormalities 5
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- RNA and protein synthesis mechanisms 10
- Genomics and Phylogenetic Studies 6
- Co-authors
- Eric D. Green (4 shared papers)Francis S. Collins (3 shared papers)Alan E. Guttmacher (1 shared paper)Aravinda Chakravarti (1 shared paper)Charles W. Saunders (3 shared papers)Jennie E. Larkin (2 shared papers)Michelle C. Dunn (2 shared papers)George D. Hegeman (1 shared paper)
- Journals
- Nature (13 papers)Journal of Bacteriology (8 papers)Proceedings of the National Academy of Sciences (3 papers)Science (3 papers)Journal of the American Medical Informatics Association (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Mark S. Guyer
47 papers receiving 65.5k citations
Mark S. Guyer's Hit Papers
Peers
Comparison fields: 5 of 221
- Genetics 20.8k
- Cancer Research 9.5k
- Molecular Biology 38.3k
- Aging 648
- Genetics 2.8k
Countries citing papers authored by Mark S. Guyer
This map shows the geographic impact of Mark S. Guyer'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 Mark S. Guyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Guyer more than expected).
Fields of papers citing papers by Mark S. Guyer
This network shows the impact of papers produced by Mark S. Guyer. 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 Mark S. Guyer. The network helps show where Mark S. Guyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark S. Guyer, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Initial sequencing and analysis of the human genome Hit paper breakdown → | 2001 | 17763 |
| 2 | A map of human genome variation from population-scale sequencing Hit paper breakdown → | 2010 | 6317 |
| 3 | An integrated map of genetic variation from 1,092 human genomes Hit paper breakdown → | 2012 | 6211 |
| 4 | Initial sequencing and comparative analysis of the mouse genome Hit paper breakdown → | 2002 | 5361 |
| 5 | The International HapMap Project Hit paper breakdown → | 2003 | 4921 |
| 6 | Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project Hit paper breakdown → | 2007 | 4022 |
| 7 | The Somatic Genomic Landscape of Glioblastoma Hit paper breakdown → | 2013 | 3977 |
| 8 | A second generation human haplotype map of over 3.1 million SNPs Hit paper breakdown → | 2007 | 3524 |
| 9 | Comprehensive genomic characterization of squamous cell lung cancers Hit paper breakdown → | 2012 | 3290 |
| 10 | Comprehensive molecular characterization of clear cell renal cell carcinoma Hit paper breakdown → | 2013 | 2829 |
| 11 | A vision for the future of genomics research Hit paper breakdown → | 2003 | 1324 |
| 12 | Replicating genotype–phenotype associations Hit paper breakdown → | 2007 | 1129 |
| 13 | Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE Hit paper breakdown → | 2010 | 933 |
| 14 | Variations on a Theme: Cataloging Human DNA Sequence Variation Hit paper breakdown → | 1997 | 827 |
| 15 | Integrative Analysis of the Caenorhabditis elegans Genome by the modENCODE Project Hit paper breakdown → | 2010 | 738 |
| 16 | Charting a course for genomic medicine from base pairs to bedside Hit paper breakdown → | 2011 | 700 |
| 17 | The Somatic Genomic Landscape of Chromophobe Renal Cell Carcinoma Hit paper breakdown → | 2014 | 659 |
| 18 | Demographic history and rare allele sharing among human populations Hit paper breakdown → | 2011 | 475 |
| 19 | 2010 | 416 | |
| 20 | 2013 | 336 |
About Mark S. Guyer
Mark S. Guyer is a scholar working on Genetics, Molecular Biology, Ecology, Cancer Research and Aging, having authored 47 papers that have together received 67.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (11 papers), RNA and protein synthesis mechanisms (10 papers), Genetic Associations and Epidemiology (9 papers), Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (8 papers), Genomics and Phylogenetic Studies (6 papers), Cancer Genomics and Diagnostics (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Genetics (20.8k citations), Cancer Research (9.5k citations), Molecular Biology (38.3k citations), Aging (648 citations) and Genetics (2.8k citations). Mark S. Guyer has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Eric D. Green, Francis S. Collins, Alan E. Guttmacher, Aravinda Chakravarti, Charles W. Saunders, Jennie E. Larkin, Michelle C. Dunn, George D. Hegeman, Alvin J. Clark and Ron Margolis. Their work appears in journals such as Nature, Journal of Bacteriology, Proceedings of the National Academy of Sciences, Science and Journal of the American Medical Informatics Association.
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.