André Wehe

685 total citations
9 papers, 376 citations indexed

About

André Wehe is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, André Wehe has authored 9 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Plant Science. Recurrent topics in André Wehe's work include Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (7 papers) and Chromosomal and Genetic Variations (3 papers). André Wehe is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (7 papers) and Chromosomal and Genetic Variations (3 papers). André Wehe collaborates with scholars based in United States, Israel and Germany. André Wehe's co-authors include Oliver Eulenstein, Mukul S. Bansal, J. Gordon Burleigh, Karen Cranston, Michael J. Sanderson, Stefanie Hartmann, Todd Vision, David Fernández‐Baca, Ruchi Chaudhary and Mohit Bansal and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Systematic Biology.

In The Last Decade

André Wehe

8 papers receiving 367 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
André Wehe United States	7	297	214	102	96	39	9	376
Charles C. Davis United States	6	200 0.7×	102 0.5×	146 1.4×	153 1.6×	38 1.0×	9	336
Yazhen Ma China	10	176 0.6×	167 0.8×	148 1.5×	138 1.4×	15 0.4×	21	351
Jiafan Zhu United States	5	220 0.7×	204 1.0×	99 1.0×	80 0.8×	51 1.3×	6	316
Oscar M. Vargas United States	8	269 0.9×	143 0.7×	312 3.1×	133 1.4×	24 0.6×	20	443
Simon Uribe‐Convers United States	12	286 1.0×	143 0.7×	337 3.3×	201 2.1×	24 0.6×	16	512
Adam Dawid Urantówka Poland	10	272 0.9×	101 0.5×	43 0.4×	97 1.0×	25 0.6×	34	371
Jean‐Christophe Pintaud France	10	80 0.3×	151 0.7×	117 1.1×	213 2.2×	41 1.1×	14	382
Zhenhua Guo China	9	217 0.7×	99 0.5×	210 2.1×	181 1.9×	11 0.3×	11	397
Natascha D. Wagner Germany	14	191 0.6×	152 0.7×	265 2.6×	176 1.8×	13 0.3×	28	490
Jéferson Nunes Fregonezi Brazil	13	148 0.5×	167 0.8×	251 2.5×	238 2.5×	17 0.4×	18	452

Countries citing papers authored by André Wehe

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of André Wehe

This figure shows the co-authorship network connecting the top 25 collaborators of André Wehe. A scholar is included among the top collaborators of André Wehe 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 André Wehe. André Wehe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Wehe, André, J. Gordon Burleigh, & Oliver Eulenstein. (2013). Efficient Algorithms for Knowledge-Enhanced Supertree and Supermatrix Phylogenetic Problems. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 10(6). 1432–1441. 7 indexed citations

2.

Chaudhary, Ruchi, Mukul S. Bansal, André Wehe, David Fernández‐Baca, & Oliver Eulenstein. (2010). iGTP: A software package for large-scale gene tree parsimony analysis. BMC Bioinformatics. 11(1). 574–574. 62 indexed citations

3.

Wehe, André & J. Gordon Burleigh. (2010). Scaling the Gene Duplication Problem Towards the Tree of Life.. 133–138. 4 indexed citations

4.

Burleigh, J. Gordon, Mukul S. Bansal, Oliver Eulenstein, et al.. (2010). Genome-Scale Phylogenetics: Inferring the Plant Tree of Life from 18,896 Gene Trees. Systematic Biology. 60(2). 117–125. 84 indexed citations

5.

Bansal, Mohit, Oliver Eulenstein, & André Wehe. (2009). The Gene-Duplication Problem: Near-Linear Time Algorithms for NNI-Based Local Searches. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6(2). 221–231. 15 indexed citations

6.

Burleigh, J. Gordon, Mohit Bansal, André Wehe, & Oliver Eulenstein. (2009). Locating Large-Scale Gene Duplication Events through Reconciled Trees: Implications for Identifying Ancient Polyploidy Events in Plants. Journal of Computational Biology. 16(8). 1071–1083. 13 indexed citations

7.

Wehe, André, et al.. (2009). A scalable parallelization of the gene duplication problem. Journal of Parallel and Distributed Computing. 70(3). 237–244. 1 indexed citations

8.

Sanderson, Michael J., et al.. (2008). The PhyLoTA Browser: Processing GenBank for Molecular Phylogenetics Research. Systematic Biology. 57(3). 335–346. 99 indexed citations

9.

Wehe, André, Mukul S. Bansal, J. Gordon Burleigh, & Oliver Eulenstein. (2008). DupTree: a program for large-scale phylogenetic analyses using gene tree parsimony. Bioinformatics. 24(13). 1540–1541. 91 indexed citations

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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