Daniel Wegmann

7.1k total citations
52 papers, 2.6k citations indexed

About

Daniel Wegmann is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Daniel Wegmann has authored 52 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 11 papers in Molecular Biology and 11 papers in Ecology. Recurrent topics in Daniel Wegmann's work include Genetic diversity and population structure (22 papers), Forensic and Genetic Research (12 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Daniel Wegmann is often cited by papers focused on Genetic diversity and population structure (22 papers), Forensic and Genetic Research (12 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Daniel Wegmann collaborates with scholars based in Switzerland, United States and United Kingdom. Daniel Wegmann's co-authors include Laurent Excoffier, Christoph Leuenberger, Samuel Neuenschwander, Nicolas Ray, Benjamin M. Peter, Tamara Hofer, Krishna R. Veeramah, Mathias Currat, Christian Lexer and John Novembre and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daniel Wegmann

48 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wegmann Switzerland 29 1.6k 613 459 286 248 52 2.6k
Daniel J. Lawson United Kingdom 21 2.0k 1.2× 764 1.2× 332 0.7× 232 0.8× 225 0.9× 59 3.1k
Katalin Csilléry Switzerland 14 1.1k 0.7× 384 0.6× 492 1.1× 215 0.8× 397 1.6× 25 2.2k
Samuel Neuenschwander Switzerland 20 1.2k 0.7× 441 0.7× 319 0.7× 314 1.1× 356 1.4× 43 1.8k
Mary K. Kuhner United States 19 2.4k 1.4× 1.3k 2.1× 742 1.6× 326 1.1× 428 1.7× 41 3.6k
Giorgio Bertorelle Italy 38 3.1k 1.9× 938 1.5× 1.1k 2.5× 376 1.3× 420 1.7× 112 4.7k
Sriram Sankararaman United States 31 3.2k 2.0× 1.6k 2.6× 248 0.5× 337 1.2× 187 0.8× 87 5.0k
Mathias Currat Switzerland 30 3.1k 1.9× 793 1.3× 977 2.1× 288 1.0× 659 2.7× 57 4.3k
Kirk E. Lohmueller United States 35 4.0k 2.4× 2.0k 3.3× 600 1.3× 338 1.2× 267 1.1× 73 6.2k
Emilia Huerta‐Sánchez United States 22 2.3k 1.4× 925 1.5× 437 1.0× 273 1.0× 314 1.3× 40 3.3k
Stefano Mona France 22 888 0.5× 298 0.5× 335 0.7× 88 0.3× 180 0.7× 43 1.3k

Countries citing papers authored by Daniel Wegmann

Since Specialization
Citations

This map shows the geographic impact of Daniel Wegmann'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 Daniel Wegmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wegmann more than expected).

Fields of papers citing papers by Daniel Wegmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Wegmann. 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 Daniel Wegmann. The network helps show where Daniel Wegmann may publish in the future.

Co-authorship network of co-authors of Daniel Wegmann

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

All Works

20 of 20 papers shown
1.
Fior, Simone, J. de Jonge, Stefan Zoller, et al.. (2025). Ancient alleles drive contemporary climate adaptation in an alpine plant. Science. 390(6768). 59–64.
2.
Gnecchi‐Ruscone, Guido Alberto, et al.. (2025). Ancient genomes provide evidence of demographic shift to Slavic-associated groups in Moravia. Genome biology. 26(1). 259–259. 1 indexed citations
3.
Leuenberger, Christoph, et al.. (2024). Accurate Bayesian inference of sex chromosome karyotypes and sex‐linked scaffolds from low‐depth sequencing data. Molecular Ecology Resources. 24(3). e13913–e13913. 1 indexed citations
4.
Probert, Anna F., Daniel Wegmann, Tim Adriaens, et al.. (2022). Identifying, reducing, and communicating uncertainty in community science: a focus on alien species. Biological Invasions. 24(11). 3395–3421. 10 indexed citations
5.
Widmer, Alex, et al.. (2021). Identifying loci under selection via explicit demographic models. Molecular Ecology Resources. 21(8). 2719–2737. 9 indexed citations
6.
Louis, Marié, Marco Galimberti, Frederick I. Archer, et al.. (2021). Selection on ancestral genetic variation fuels repeated ecotype formation in bottlenose dolphins. Science Advances. 7(44). eabg1245–eabg1245. 28 indexed citations
7.
Winkelbach, Laura, Jens Blöcher, Yoan Diekmann, et al.. (2021). Ancient genomes provide insights into family structure and the heredity of social status in the early Bronze Age of southeastern Europe. Scientific Reports. 11(1). 10072–10072. 22 indexed citations
8.
Galimberti, Marco, et al.. (2020). Detecting Selection from Linked Sites Using an F -Model. Genetics. 216(4). 1205–1215. 5 indexed citations
9.
Link, Vivian, et al.. (2020). Estimating and accounting for genotyping errors in RAD‐seq experiments. Molecular Ecology Resources. 20(4). 856–870. 37 indexed citations
10.
Dehasque, Marianne, María C. Ávila‐Arcos, David Díez‐del‐Molino, et al.. (2020). Inference of natural selection from ancient DNA. Evolution Letters. 4(2). 94–108. 41 indexed citations
11.
12.
Ferrer-Admetlla, Anna, Christoph Leuenberger, Jeffrey D. Jensen, & Daniel Wegmann. (2016). An Approximate Markov Model for the Wright–Fisher Diffusion and Its Application to Time Series Data. Genetics. 203(2). 831–846. 44 indexed citations
13.
Kousathanas, Athanasios, Christoph Leuenberger, Vivian Link, et al.. (2016). Inferring Heterozygosity from Ancient and Low Coverage Genomes. Genetics. 205(1). 317–332. 21 indexed citations
14.
Foll, Matthieu, Yu-Ping Poh, Nicholas Renzette, et al.. (2014). Influenza Virus Drug Resistance: A Time-Sampled Population Genetics Perspective. PLoS Genetics. 10(2). e1004185–e1004185. 94 indexed citations
15.
Wegmann, Daniel, Darren Kessner, Krishna R. Veeramah, et al.. (2011). Recombination rates in admixed individuals identified by ancestry-based inference. Nature Genetics. 43(9). 847–853. 79 indexed citations
16.
Slater, Graham J., Luke J. Harmon, Daniel Wegmann, et al.. (2011). FITTING MODELS OF CONTINUOUS TRAIT EVOLUTION TO INCOMPLETELY SAMPLED COMPARATIVE DATA USING APPROXIMATE BAYESIAN COMPUTATION. Evolution. 66(3). 752–762. 58 indexed citations
17.
Veeramah, Krishna R., Daniel Wegmann, August E. Woerner, et al.. (2011). An Early Divergence of KhoeSan Ancestors from Those of Other Modern Humans Is Supported by an ABC-Based Analysis of Autosomal Resequencing Data. Molecular Biology and Evolution. 29(2). 617–630. 98 indexed citations
18.
Thalmann, Olaf, Daniel Wegmann, Mimi Arandjelovic, et al.. (2011). Historical sampling reveals dramatic demographic changes in western gorilla populations. BMC Evolutionary Biology. 11(1). 85–85. 45 indexed citations
19.
Ray, Nicolas, et al.. (2009). A Statistical Evaluation of Models for the Initial Settlement of the American Continent Emphasizes the Importance of Gene Flow with Asia. Molecular Biology and Evolution. 27(2). 337–345. 68 indexed citations
20.
Wegmann, Daniel, Isabelle Dupanloup, & Laurent Excoffier. (2008). Width of Gene Expression Profile Drives Alternative Splicing. PLoS ONE. 3(10). e3587–e3587. 11 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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