Peter H. Sudmant
Impact in
Papers in
-
- Genomics and Phylogenetic Studies 11
- RNA and protein synthesis mechanisms 4
- Genetics 20
- Genomic variations and chromosomal abnormalities 9
- Genetic diversity and population structure 6
- Evolution and Genetic Dynamics 4
- Genomics and Rare Diseases 4
- Co-authors
- Maika Malig (11 shared papers)Evan E. Eichler (13 shared papers)Francesca Antonacci (8 shared papers)Can Alkan (4 shared papers)Jay Shendure (3 shared papers)Megan Y. Dennis (4 shared papers)John Huddleston (5 shared papers)Jacob O. Kitzman (2 shared papers)
- Journals
- Genome Research (5 papers)Science (3 papers)Nature Ecology & Evolution (3 papers)Nature Genetics (3 papers)Nature (2 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Peter H. Sudmant
45 papers receiving 3.3k citations
Peter H. Sudmant's Hit Papers
Peers
Comparison fields: 5 of 139
- Genetics 1.5k
- Aging 61
- Molecular Biology 1.9k
- Cancer Research 341
- Developmental Neuroscience 69
Countries citing papers authored by Peter H. Sudmant
This map shows the geographic impact of Peter H. Sudmant'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 Peter H. Sudmant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter H. Sudmant more than expected).
Fields of papers citing papers by Peter H. Sudmant
This network shows the impact of papers produced by Peter H. Sudmant. 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 Peter H. Sudmant. The network helps show where Peter H. Sudmant may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter H. Sudmant, 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 | Resolving the complexity of the human genome using single-molecule sequencing Hit paper breakdown → | 2014 | 507 |
| 2 | 2010 | 489 | |
| 3 | 2012 | 415 | |
| 4 | 2012 | 279 | |
| 5 | 2014 | 180 | |
| 6 | 2010 | 162 | |
| 7 | 2012 | 142 | |
| 8 | 2013 | 108 | |
| 9 | 2015 | 90 | |
| 10 | 2012 | 88 | |
| 11 | 2016 | 87 | |
| 12 | 2014 | 86 | |
| 13 | 2022 | 79 | |
| 14 | 2021 | 72 | |
| 15 | 2011 | 64 | |
| 16 | 2018 | 56 | |
| 17 | 2013 | 42 | |
| 18 | 2023 | 42 | |
| 19 | 2022 | 39 | |
| 20 | 2011 | 35 |
About Peter H. Sudmant
Peter H. Sudmant is a scholar working on Molecular Biology, Genetics, Plant Science, Physiology and Cancer Research, having authored 47 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (12 papers), Genomics and Phylogenetic Studies (11 papers), Genomic variations and chromosomal abnormalities (9 papers), Genetic diversity and population structure (6 papers), Evolution and Genetic Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Rare Diseases (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Genetics (1.5k citations), Aging (61 citations), Molecular Biology (1.9k citations), Cancer Research (341 citations) and Developmental Neuroscience (69 citations). Peter H. Sudmant has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Maika Malig, Evan E. Eichler, Francesca Antonacci, Can Alkan, Jay Shendure, Megan Y. Dennis, John Huddleston, Jacob O. Kitzman, Arthur Ko and Brian J. O’Roak. Their work appears in journals such as Genome Research, Science, Nature Ecology & Evolution, Nature Genetics and Nature.
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.