Paul Sniegowski
- Genetics top 0.5%
- Evolution and Genetic Dynamics 41
- Genetic diversity and population structure 13
- Plant Science top 1%
- Chromosomal and Genetic Variations 10
- Molecular Biology top 2%
- Fungal and yeast genetics research 11
- CRISPR and Genetic Engineering 10
- Food Science top 2%
- Fermentation and Sensory Analysis 9
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- Evolutionary Game Theory and Cooperation 13
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- Mathematical and Theoretical Epidemiology and Ecology Models 7
- Co-authors
- Brian CharlesworthPhilip J. GerrishWolfgang StephanRichard E. LenskiAaron C. ShaverToby JohnsonHelen A. MurphyГ. И. Наумов
- Journals
- Nature (3 papers)Proceedings of the National Academy of Sciences (2 papers)Current Biology (10 papers)
- Partner nations
- United StatesPortugalSwitzerland
In The Last Decade
Paul Sniegowski
60 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Genetics 2.5k
- Plant Science 1.8k
- Molecular Biology 2.8k
- Food Science 529
- Tourism, Leisure and Hospitality Management 38
Countries citing papers authored by Paul Sniegowski
This map shows the geographic impact of Paul Sniegowski'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 Paul Sniegowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Sniegowski more than expected).
Fields of papers citing papers by Paul Sniegowski
This network shows the impact of papers produced by Paul Sniegowski. 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 Paul Sniegowski. The network helps show where Paul Sniegowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Sniegowski, 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 | 2022 | 17 | |
| 2 | 2020 | 8 | |
| 3 | 2018 | 26 | |
| 4 | 2018 | 72 | |
| 5 | 2017 | 16 | |
| 6 | 2017 | 8 | |
| 7 | 2014 | 42 | |
| 8 | 2012 | 14 | |
| 9 | 2012 | 70 | |
| 10 | 2011 | 28 | |
| 11 | 2007 | 95 | |
| 12 | 2006 | 83 | |
| 13 | Population genetic variation in gene expression is associated with phenotypic variation in Saccharomyces cerevisiae | 2004 | 1 |
| 14 | 2004 | 9 | |
| 15 | 1999 | 8 | |
| 16 | 1998 | 10 | |
| 17 | Evolution of high mutation rates in experimental populations of E. colibreakdown → | 1997 | 667 |
| 18 | 1997 | 12 | |
| 19 | 1995 | 10 | |
| 20 | 1994 | 58 |
About Paul Sniegowski
Paul Sniegowski is a scholar working on Genetics, Molecular Biology and Food Science, having authored 60 papers that have together received 4.6k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (41 papers), Genetic diversity and population structure (13 papers), Evolutionary Game Theory and Cooperation (13 papers), Fungal and yeast genetics research (11 papers), CRISPR and Genetic Engineering (10 papers), Chromosomal and Genetic Variations (10 papers), Fermentation and Sensory Analysis (9 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). The work is most often cited by research in Genetics (2.5k citations), Plant Science (1.8k citations) and Molecular Biology (2.8k citations). Paul Sniegowski has collaborated with scholars based in United States, Portugal and Switzerland. Frequent co-authors include Brian Charlesworth, Philip J. Gerrish, Wolfgang Stephan, Richard E. Lenski, Aaron C. Shaver, Toby Johnson, Helen A. Murphy, Г. И. Наумов, Е. С. Наумова and Yevgeniy Raynes. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Current Biology.
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.