Johanna Bertl

14.5k total citations
12 papers, 177 citations indexed

About

Johanna Bertl is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Johanna Bertl has authored 12 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Johanna Bertl's work include Cancer Genomics and Diagnostics (6 papers), Bayesian Methods and Mixture Models (2 papers) and DNA Repair Mechanisms (2 papers). Johanna Bertl is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Bayesian Methods and Mixture Models (2 papers) and DNA Repair Mechanisms (2 papers). Johanna Bertl collaborates with scholars based in Denmark, Austria and United States. Johanna Bertl's co-authors include Jakob Skou Pedersen, Asger Hobolth, Malene Juul, Harald Ringbauer, Michaël G. B. Blum, Michael L. Berger, Christian Pifl, Francis Blokzijl, Joris Pothof and Roel Janssen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Genome Research.

In The Last Decade

Johanna Bertl

12 papers receiving 176 citations

Peers

Countries citing papers authored by Johanna Bertl

Since Specialization

Citations

This map shows the geographic impact of Johanna Bertl'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 Johanna Bertl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johanna Bertl more than expected).

Fields of papers citing papers by Johanna Bertl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johanna Bertl. 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 Johanna Bertl. The network helps show where Johanna Bertl may publish in the future.

Co-authorship network of co-authors of Johanna Bertl

This figure shows the co-authorship network connecting the top 25 collaborators of Johanna Bertl. A scholar is included among the top collaborators of Johanna Bertl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johanna Bertl. Johanna Bertl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Pan-cancer association of DNA repair deficiencies with whole-genome mutational patterns 2023 ·eLife ·(unknown), Amruta Shrikhande, (unknown), (unknown), Johanna Bertl, Britt Elmedal Laursen, Eva R. Hoffmann, Jakob Skou Pedersen	3
2	Tumour mutational burden is overestimated by target cancer gene panels 2022 ·SHILAP Revista de lepidopterología ·Fang Hu, Johanna Bertl, Xiaoqiang Zhu, Tai‐Chung Lam, Song Wu, David Shih, Jason W.H. Wong	5
3	Waves Out of the Korean Peninsula and Inter- and Intra-Species Replacements in Freshwater Fishes in Japan 2021 ·Genes ·(unknown), Johanna Bertl, Andreas Futschik, Hirohisa Kishino, Toshio Okazaki	10
4	Deficiency of nucleotide excision repair is associated with mutational signature observed in cancer 2019 ·Genome Research ·Myrthe Jager, Francis Blokzijl, Ewart Kuijk, Johanna Bertl, (unknown), Roel Janssen, Nicolle Besselink, Sander Boymans, Joep de Ligt, Jakob Skou Pedersen, Jan H.J. Hoeijmakers, Joris Pothof, Ruben van Boxtel, Edwin Cuppen	57
5	A site specific model and analysis of the neutral somatic mutation rate in whole-genome cancer data 2018 ·BMC Bioinformatics ·Johanna Bertl, Qianyun Guo, Malene Juul, Søren Besenbacher, Morten Muhlig Nielsen, Henrik Hornshøj, Jakob Skou Pedersen, Asger Hobolth	7
6	ncdDetect2: improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation 2018 ·Bioinformatics ·Malene Juul, Tobias Madsen, Qianyun Guo, Johanna Bertl, Asger Hobolth, Manolis Kellis, Jakob Skou Pedersen	7
7	Can secondary contact following range expansion be distinguished from barriers to gene flow? 2018 ·PeerJ ·Johanna Bertl, Harald Ringbauer, Michaël G. B. Blum	14
8	Approximate maximum likelihood estimation for population genetic inference 2017 ·Statistical Applications in Genetics and Molecular Biology ·Johanna Bertl, Gregory B. Ewing, Carolin Kosiol, Andreas Futschik	6
9	Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate 2017 ·eLife ·Malene Juul, Johanna Bertl, Qianyun Guo, Morten Muhlig Nielsen, (unknown), Henrik Hornshøj, Tobias Madsen, Asger Hobolth, Jakob Skou Pedersen	26
10	An approximate maximum likelihood algorithm with case studies 2014 ·University of Vienna ·Johanna Bertl	1
11	Chronic exposure to manganese decreases striatal dopamine turnover in human alpha-synuclein transgenic mice 2011 ·Neuroscience ·(unknown), Petra Scholze, Michael L. Berger, Harald Reither, Georg Heinze, Johanna Bertl, Jan Bauer, Eric K. Richfield, Oleh Hornykiewicz, Christian Pifl	40
12	Interaction of manganese with striatal dopamine turnover in human alpha-synuclein transgenic mice 2010 ·BMC Pharmacology ·(unknown), Michael L. Berger, Petra Scholze, Georg Heinze, Johanna Bertl, Jan Bauer, Oleh Hornykiewicz, Eric K. Richfield, Christian Pifl	1

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.

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