Jenna Persson
Impact in
- Aging top 5%
Papers in
-
- Genomics and Chromatin Dynamics 4
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 3
- Cancer therapeutics and mechanisms 2
- RNA modifications and cancer 2
- CRISPR and Genetic Engineering 2
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- Chromosomal and Genetic Variations 3
- Co-authors
- Jussi Taipale (1 shared paper)Sandeep K. Botla (1 shared paper)Bernhard Schmierer (1 shared paper)Emma Haapaniemi (1 shared paper)Karl Ekwall (7 shared papers)Mickaël Durand‐Dubief (4 shared papers)Edgar Hartsuiker (1 shared paper)J. Peter Svensson (3 shared papers)
- Journals
- The EMBO Journal (2 papers)PLoS Genetics (2 papers)Nature Medicine (1 paper)Transcription (1 paper)EMBO Reports (1 paper)
- Partner nations
- SwedenUnited KingdomFrance
In The Last Decade
Jenna Persson
10 papers receiving 1.2k citations
Jenna Persson's Hit Papers
Peers
Comparison fields: 5 of 70
- Business and International Management 80
- Aging 59
- Molecular Biology 1.1k
- Genetics 283
- Oncology 159
Countries citing papers authored by Jenna Persson
This map shows the geographic impact of Jenna Persson'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 Jenna Persson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenna Persson more than expected).
Fields of papers citing papers by Jenna Persson
This network shows the impact of papers produced by Jenna Persson. 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 Jenna Persson. The network helps show where Jenna Persson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jenna Persson, 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 | CRISPR–Cas9 genome editing induces a p53-mediated DNA damage response Hit paper breakdown → | 2018 | 876 |
| 2 | 2008 | 94 | |
| 3 | 2010 | 76 | |
| 4 | 2012 | 71 | |
| 5 | 2015 | 44 | |
| 6 | 2009 | 39 | |
| 7 | 2011 | 25 | |
| 8 | 2010 | 18 | |
| 9 | 2016 | 17 | |
| 10 | 2020 | 6 |
About Jenna Persson
Jenna Persson is a scholar working on Molecular Biology, Plant Science, Genetics, Pediatrics, Perinatology and Child Health and Toxicology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), Chromosomal and Genetic Variations (3 papers), Cancer therapeutics and mechanisms (2 papers), RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Business and International Management (80 citations), Aging (59 citations), Molecular Biology (1.1k citations), Genetics (283 citations) and Oncology (159 citations). Jenna Persson has collaborated with scholars based in Sweden, United Kingdom and France. Frequent co-authors include Jussi Taipale, Sandeep K. Botla, Bernhard Schmierer, Emma Haapaniemi, Karl Ekwall, Mickaël Durand‐Dubief, Edgar Hartsuiker, J. Peter Svensson, Annelie Strålfors and Olga Khorosjutina. Their work appears in journals such as The EMBO Journal, PLoS Genetics, Nature Medicine, Transcription and EMBO Reports.
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.