Sebastian Höhna
Impact in
- Paleontology top 0.1%
- Evolution and Paleontology Studies
-
- Plant and animal studies
- Plant Diversity and Evolution
Papers in
- Paleontology 29
- Evolution and Paleontology Studies 29
- Genetics 30
- Genetic diversity and population structure 25
- Evolution and Genetic Dynamics 4
- Co-authors
- John P. HuelsenbeckFredrik RonquistMaxim TeslenkoLiang LiuAaron E. DarlingDaniel L. AyresPaul van der MarkBret Larget
- Journals
- Systematic Biology (15 papers)Methods in Ecology and Evolution (6 papers)Molecular Biology and Evolution (4 papers)Proceedings of the National Academy of Sciences (2 papers)Bioinformatics (2 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Sebastian Höhna
47 papers receiving 22.7k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Paleontology 2.8k
- Ecology, Evolution, Behavior and Systematics 7.4k
- Ecological Modeling 1.1k
- Ecology 6.1k
- Genetics 5.3k
Countries citing papers authored by Sebastian Höhna
This map shows the geographic impact of Sebastian Höhna'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 Sebastian Höhna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Höhna more than expected).
Fields of papers citing papers by Sebastian Höhna
This network shows the impact of papers produced by Sebastian Höhna. 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 Sebastian Höhna. The network helps show where Sebastian Höhna may publish in the future.
Co-authors
The 25 scholars most cited alongside Sebastian Höhna, 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 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 37 | |
| 11 | 2021 | 43 | |
| 12 | 2021 | 58 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 31 | |
| 15 | 2019 | 21 | |
| 16 | 2018 | 40 | |
| 17 | 2015 | 104 | |
| 18 | 2014 | 82 | |
| 19 | Bayesian Phylogenetic Inference : Estimating Diversification Rates from Reconstructed Phylogenies | 2013 | 3 |
| 20 | 2011 | 118 |
About Sebastian Höhna
Sebastian Höhna is a scholar working on Paleontology, Genetics, Nature and Landscape Conservation, Equine and Geometry and Topology, having authored 47 papers that have together received 23.0k indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (29 papers), Genomics and Phylogenetic Studies (27 papers), Genetic diversity and population structure (25 papers), Ecology and Vegetation Dynamics Studies (8 papers), Bayesian Methods and Mixture Models (5 papers), Evolution and Genetic Dynamics (4 papers), Plant and animal studies (4 papers) and Morphological variations and asymmetry (4 papers). The work is most often cited by research in Paleontology (2.8k citations), Ecology, Evolution, Behavior and Systematics (7.4k citations), Ecological Modeling (1.1k citations), Ecology (6.1k citations) and Genetics (5.3k citations). Sebastian Höhna has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include John P. Huelsenbeck, Fredrik Ronquist, Maxim Teslenko, Liang Liu, Aaron E. Darling, Daniel L. Ayres, Paul van der Mark, Bret Larget, Marc A. Suchard and Brian R. Moore. Their work appears in journals such as Systematic Biology, Methods in Ecology and Evolution, Molecular Biology and Evolution, Proceedings of the National Academy of Sciences and Bioinformatics.
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.