Franz Baumdicker
Impact in
-
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
Papers in
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- CRISPR and Genetic Engineering 5
- Genomics and Phylogenetic Studies 4
- Genetics 10
- Evolution and Genetic Dynamics 6
- Genetic diversity and population structure 3
- Forensic and Genetic Research 2
- Genetic Associations and Epidemiology 2
- Co-authors
- Richard A. Neher (1 shared paper)Wei Ding (1 shared paper)Peter Pfaffelhuber (6 shared papers)Wolfgang R. Hess (1 shared paper)Veronika Lipphardt (1 shared paper)Franziska Grundner-Culemann (1 shared paper)Anne Kupczok (2 shared papers)Fabian Staubach (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Genome Biology and Evolution (2 papers)Nucleic Acids Research (2 papers)Forensic Science International Genetics (2 papers)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Franz Baumdicker
14 papers receiving 314 citations
Peers
Comparison fields: 5 of 63
- Endocrinology 24
- Genetics 108
- Molecular Biology 225
- Ecology 81
- Molecular Medicine 11
Countries citing papers authored by Franz Baumdicker
This map shows the geographic impact of Franz Baumdicker'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 Franz Baumdicker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz Baumdicker more than expected).
Fields of papers citing papers by Franz Baumdicker
This network shows the impact of papers produced by Franz Baumdicker. 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 Franz Baumdicker. The network helps show where Franz Baumdicker may publish in the future.
Co-authors
The 22 scholars most cited alongside Franz Baumdicker, 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 | 2017 | 182 | |
| 2 | 2012 | 79 | |
| 3 | 2020 | 18 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2017 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2026 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Franz Baumdicker
Franz Baumdicker is a scholar working on Molecular Biology, Genetics, Ecology, Epidemiology and Molecular Medicine, having authored 16 papers that have together received 319 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (6 papers), CRISPR and Genetic Engineering (5 papers), Genomics and Phylogenetic Studies (4 papers), Genetic diversity and population structure (3 papers), Forensic and Genetic Research (2 papers), Genetic Associations and Epidemiology (2 papers), Microbial Community Ecology and Physiology (2 papers) and Microbial infections and disease research (1 paper). The work is most often cited by research in Endocrinology (24 citations), Genetics (108 citations), Molecular Biology (225 citations), Ecology (81 citations) and Molecular Medicine (11 citations). Franz Baumdicker has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Richard A. Neher, Wei Ding, Peter Pfaffelhuber, Wolfgang R. Hess, Veronika Lipphardt, Franziska Grundner-Culemann, Anne Kupczok, Fabian Staubach, Rolf Backofen and Paul Schweiger. Their work appears in journals such as PLoS Computational Biology, Genome Biology and Evolution, Nucleic Acids Research, Forensic Science International Genetics and Philosophical Transactions of the Royal Society B Biological Sciences.
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.