Anna J. Jasinska
- Virology top 5%
- HIV Research and Treatment 7
- Aging top 5%
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic Associations and Epidemiology 6
- Genomic variations and chromosomal abnormalities 6
- BRCA gene mutations in cancer 5
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 8
- Genomics and Chromatin Dynamics 6
- RNA modifications and cancer 5
- Cancer Research top 10%
- Co-authors
- Włodzimierz J. KrzyżosiakNelson B. FreimerPiotr KozłowskiCristian ApetreiCamille BerthelotSarah AldridgeMiguel PignatelliElizabeth P. Murchison
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Anna J. Jasinska
58 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Virology 141
- Aging 43
- Genetics 551
- Molecular Biology 1.1k
- Cancer Research 240
Countries citing papers authored by Anna J. Jasinska
This map shows the geographic impact of Anna J. Jasinska'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 Anna J. Jasinska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna J. Jasinska more than expected).
Fields of papers citing papers by Anna J. Jasinska
This network shows the impact of papers produced by Anna J. Jasinska. 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 Anna J. Jasinska. The network helps show where Anna J. Jasinska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna J. Jasinska, 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 | 2023 | 7 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 37 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 4 | |
| 8 | Population genomics disentangles taxonomic relationships and identifies ancient hybridization in the genus Chlorocebus | 2017 | 2 |
| 9 | 2017 | 58 | |
| 10 | 2015 | 24 | |
| 11 | 2013 | 63 | |
| 12 | 2012 | 21 | |
| 13 | 2009 | 3 | |
| 14 | 2008 | 27 | |
| 15 | 2007 | 24 | |
| 16 | Analiza danych z mikromacierzy DNA metody, narzędzia | 2005 | 1 |
| 17 | 2004 | 159 | |
| 18 | 2000 | 16 | |
| 19 | 2000 | 36 | |
| 20 | BRCA1 i BRCA2 - geny dziedzicznych form raka piersi. | 1998 | 0 |
About Anna J. Jasinska
Anna J. Jasinska is a scholar working on Virology, Genetics and Endocrine and Autonomic Systems, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), HIV Research and Treatment (7 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genomics and Chromatin Dynamics (6 papers), Genetic Associations and Epidemiology (6 papers), Genomic variations and chromosomal abnormalities (6 papers), BRCA gene mutations in cancer (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Virology (141 citations), Aging (43 citations) and Genetics (551 citations). Anna J. Jasinska has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Włodzimierz J. Krzyżosiak, Nelson B. Freimer, Piotr Kozłowski, Cristian Apetrei, Camille Berthelot, Sarah Aldridge, Miguel Pignatelli, Elizabeth P. Murchison, Jonathan T. Erichsen and Duncan T. Odom. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.