Norbert Dojer
Impact in
- Aging top 10%
Papers in
-
- Genomics and Chromatin Dynamics 6
- Genomics and Phylogenetic Studies 5
- DNA Repair Mechanisms 3
- CRISPR and Genetic Engineering 3
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- Bayesian Modeling and Causal Inference 5
- Machine Learning and Algorithms 2
- Co-authors
- Bartek Wilczyński (6 shared papers)Maga Rowicka (4 shared papers)Krzysztof Ginalski (3 shared papers)Magdalena Skrzypczak (3 shared papers)Abhishek Mitra (2 shared papers)Philippe Pasero (2 shared papers)Roberto Chiarle (1 shared paper)Qi Wang (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)Bioinformatics (2 papers)Algorithms for Molecular Biology (2 papers)Nature Communications (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- PolandUnited StatesFrance
In The Last Decade
Norbert Dojer
19 papers receiving 998 citations
Peers
Comparison fields: 5 of 85
- Business and International Management 46
- Aging 37
- Molecular Biology 844
- Cancer Research 65
- Genetics 98
Countries citing papers authored by Norbert Dojer
This map shows the geographic impact of Norbert Dojer'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 Norbert Dojer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Dojer more than expected).
Fields of papers citing papers by Norbert Dojer
This network shows the impact of papers produced by Norbert Dojer. 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 Norbert Dojer. The network helps show where Norbert Dojer may publish in the future.
Co-authors
The 25 scholars most cited alongside Norbert Dojer, 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 | 2013 | 367 | |
| 2 | 2018 | 228 | |
| 3 | 2006 | 116 | |
| 4 | 2008 | 73 | |
| 5 | 2019 | 40 | |
| 6 | 2013 | 39 | |
| 7 | 2018 | 33 | |
| 8 | 2013 | 23 | |
| 9 | 2006 | 23 | |
| 10 | 2009 | 20 | |
| 11 | 2016 | 16 | |
| 12 | 2015 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2010 | 5 | |
| 15 | 2004 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2013 | 1 |
About Norbert Dojer
Norbert Dojer is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Plant Science and Computational Theory and Mathematics, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Bayesian Modeling and Causal Inference (5 papers), Genomics and Phylogenetic Studies (5 papers), DNA Repair Mechanisms (3 papers), Chromosomal and Genetic Variations (3 papers), CRISPR and Genetic Engineering (3 papers), Genetic diversity and population structure (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Business and International Management (46 citations), Aging (37 citations), Molecular Biology (844 citations), Cancer Research (65 citations) and Genetics (98 citations). Norbert Dojer has collaborated with scholars based in Poland, United States and France. Frequent co-authors include Bartek Wilczyński, Maga Rowicka, Krzysztof Ginalski, Magdalena Skrzypczak, Abhishek Mitra, Philippe Pasero, Roberto Chiarle, Qi Wang, Ivan Đikić and Jerzy Tiuryn. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Algorithms for Molecular Biology, Nature Communications 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.