André Wehe
Impact in
- Genetics top 10%
- Genetic diversity and population structure
- Paleontology top 10%
- Evolution and Paleontology Studies
Papers in ⓘ
- Genetics 8
- Genetic diversity and population structure 7
- Genome Rearrangement Algorithms 2
-
- Genomics and Phylogenetic Studies 8
- Protist diversity and phylogeny 1
- Co-authors
- Oliver Eulenstein (7 shared papers)Mukul S. Bansal (3 shared papers)J. Gordon Burleigh (5 shared papers)Michael J. Sanderson (1 shared paper)Karen Cranston (1 shared paper)Todd Vision (1 shared paper)Stefanie Hartmann (1 shared paper)Ruchi Chaudhary (1 shared paper)
- Journals
- Systematic Biology (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Journal of Parallel and Distributed Computing (1 paper)Journal of Computational Biology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
André Wehe
8 papers receiving 367 citations
Peers
Comparison fields: 5 of 43
- Genetics 214
- Paleontology 39
- Ecology, Evolution, Behavior and Systematics 102
- Ecological Modeling 21
- Molecular Biology 297
Countries citing papers authored by André Wehe
This map shows the geographic impact of André Wehe'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 André Wehe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Wehe more than expected).
Fields of papers citing papers by André Wehe
This network shows the impact of papers produced by André Wehe. 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 André Wehe. The network helps show where André Wehe may publish in the future.
Co-authors
The 11 scholars most cited alongside André Wehe, 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 | 2008 | 99 | |
| 2 | 2008 | 91 | |
| 3 | 2010 | 84 | |
| 4 | 2010 | 62 | |
| 5 | 2009 | 15 | |
| 6 | 2009 | 13 | |
| 7 | 2013 | 7 | |
| 8 | Scaling the Gene Duplication Problem Towards the Tree of Life. | 2010 | 4 |
| 9 | 2009 | 1 |
About André Wehe
André Wehe is a scholar working on Genetics, Molecular Biology, Plant Science, Artificial Intelligence and Astronomy and Astrophysics, having authored 9 papers that have together received 376 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (7 papers), Chromosomal and Genetic Variations (3 papers), Genome Rearrangement Algorithms (2 papers), Mycorrhizal Fungi and Plant Interactions (1 paper), Evolutionary Algorithms and Applications (1 paper), Origins and Evolution of Life (1 paper) and Protist diversity and phylogeny (1 paper). The work is most often cited by research in Genetics (214 citations), Paleontology (39 citations), Ecology, Evolution, Behavior and Systematics (102 citations), Ecological Modeling (21 citations) and Molecular Biology (297 citations). André Wehe has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Oliver Eulenstein, Mukul S. Bansal, J. Gordon Burleigh, Michael J. Sanderson, Karen Cranston, Todd Vision, Stefanie Hartmann, Ruchi Chaudhary, David Fernández‐Baca and Mohit Bansal. Their work appears in journals such as Systematic Biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of Parallel and Distributed Computing, Journal of Computational Biology and BMC 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.