Peter Duchek
Impact in
- Aging top 5%
-
- Neurobiology and Insect Physiology Research
- Axon Guidance and Neuronal Signaling
Papers in
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- CRISPR and Genetic Engineering 5
- Genomics and Chromatin Dynamics 4
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
- Developmental Biology and Gene Regulation 3
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- Chromosomal and Genetic Variations 7
- Co-authors
- Pernille Rørth (3 shared papers)Gáspár Jékely (1 shared paper)Kálmán Somogyi (1 shared paper)Michael B. O’Connor (1 shared paper)Hong Bao (1 shared paper)Bing Zhang (1 shared paper)Mary Jane Shimell (1 shared paper)Guillermo Marqués (1 shared paper)
- Journals
- eLife (3 papers)G3 Genes Genomes Genetics (2 papers)Biological Chemistry (1 paper)Nature Structural & Molecular Biology (1 paper)Molecular Cell (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Peter Duchek
20 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Aging 85
- Cellular and Molecular Neuroscience 572
- Cell Biology 482
- Immunology 310
- Molecular Biology 887
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 | 375 | |
| 2 | 2002 | 263 | |
| 3 | 2001 | 210 | |
| 4 | 2004 | 209 | |
| 5 | 2011 | 130 | |
| 6 | 2014 | 88 | |
| 7 | 2022 | 34 | |
| 8 | 2009 | 33 | |
| 9 | 2016 | 31 | |
| 10 | 2021 | 29 | |
| 11 | 2022 | 27 | |
| 12 | 1999 | 22 | |
| 13 | 2001 | 16 | |
| 14 | 2016 | 10 | |
| 15 | 2017 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 1 |
About Peter Duchek
Peter Duchek is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Cell Biology and Aging, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Aging (85 citations), Cellular and Molecular Neuroscience (572 citations), Cell Biology (482 citations), Immunology (310 citations) and Molecular Biology (887 citations). Peter Duchek has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Pernille Rørth, Gáspár Jékely, Kálmán Somogyi, Michael B. O’Connor, Hong Bao, Bing Zhang, Mary Jane Shimell, Guillermo Marqués, Theodor E. Haerry and Carlos M. Luque. Their work appears in journals such as eLife, G3 Genes Genomes Genetics, Biological Chemistry, Nature Structural & Molecular Biology and Molecular Cell.
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.