Peter Duchek
Impact in
- Aging top 5%
-
- Neurobiology and Insect Physiology Research
Papers in
-
- CRISPR and Genetic Engineering 5
- RNA and protein synthesis mechanisms 4
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 3
- Developmental Biology and Gene Regulation 3
- Ubiquitin and proteasome pathways 2
-
- Chromosomal and Genetic Variations 7
- Co-authors
- Pernille Rørth (3 shared papers)Kálmán Somogyi (1 shared paper)Gáspár Jékely (1 shared paper)Theodor E. Haerry (1 shared paper)Hong Bao (1 shared paper)Guillermo Marqués (1 shared paper)Mary Jane Shimell (1 shared paper)Michael B. O’Connor (1 shared paper)
- Journals
- eLife (3 papers)G3 Genes Genomes Genetics (2 papers)Biological Chemistry (1 paper)Genes & Development (1 paper)The FASEB Journal (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Peter Duchek
21 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Aging 89
- Cellular and Molecular Neuroscience 581
- Cell Biology 497
- Immunology 312
- Molecular Biology 906
Countries citing papers authored by Peter Duchek
This map shows the geographic impact of Peter Duchek'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 Duchek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Duchek more than expected).
Fields of papers citing papers by Peter Duchek
This network shows the impact of papers produced by Peter Duchek. 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 Duchek. The network helps show where Peter Duchek may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Duchek, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 393 | |
| 2 | 2002 | 272 | |
| 3 | 2001 | 220 | |
| 4 | 2004 | 217 | |
| 5 | 2011 | 137 | |
| 6 | 2014 | 92 | |
| 7 | 1999 | 38 | |
| 8 | 2022 | 35 | |
| 9 | 2009 | 34 | |
| 10 | 2016 | 33 | |
| 11 | 2022 | 30 | |
| 12 | 2021 | 30 | |
| 13 | 2001 | 16 | |
| 14 | 2016 | 10 | |
| 15 | 2024 | 10 | |
| 16 | 2017 | 8 | |
| 17 | 2025 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 2 |
About Peter Duchek
Peter Duchek is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Aging and Oncology, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (5 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA Research and Splicing (3 papers), Developmental Biology and Gene Regulation (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Aging (89 citations), Cellular and Molecular Neuroscience (581 citations), Cell Biology (497 citations), Immunology (312 citations) and Molecular Biology (906 citations). Peter Duchek has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Pernille Rørth, Kálmán Somogyi, Gáspár Jékely, Theodor E. Haerry, Hong Bao, Guillermo Marqués, Mary Jane Shimell, Michael B. O’Connor, Bing Zhang and Lutz Kockel. Their work appears in journals such as eLife, G3 Genes Genomes Genetics, Biological Chemistry, Genes & Development and The FASEB Journal.
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.