Konrad Lohse

2.8k total citations
43 papers, 1.0k citations indexed

About

Konrad Lohse is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Konrad Lohse has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Genetics, 22 papers in Ecology, Evolution, Behavior and Systematics and 12 papers in Molecular Biology. Recurrent topics in Konrad Lohse's work include Genetic diversity and population structure (28 papers), Plant and animal studies (17 papers) and Genomics and Phylogenetic Studies (10 papers). Konrad Lohse is often cited by papers focused on Genetic diversity and population structure (28 papers), Plant and animal studies (17 papers) and Genomics and Phylogenetic Studies (10 papers). Konrad Lohse collaborates with scholars based in United Kingdom, Spain and Austria. Konrad Lohse's co-authors include Graham N. Stone, Laurent Frantz, Nick Barton, Jack Hearn, James A. Nicholls, Michael G. Ritchie, Dominik R. Laetsch, Roger Vila, Tomas Roslin and Riikka Kaartinen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.

In The Last Decade

Konrad Lohse

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konrad Lohse United Kingdom 19 683 460 266 233 181 43 1.0k
Philippa C. Griffin Australia 15 409 0.6× 262 0.6× 189 0.7× 159 0.7× 228 1.3× 24 868
Leigh A. Nelson Australia 11 246 0.4× 428 0.9× 194 0.7× 421 1.8× 183 1.0× 20 887
Marina Telonis‐Scott Australia 18 595 0.9× 321 0.7× 236 0.9× 210 0.9× 453 2.5× 26 1.1k
Margarita Beltrán United Kingdom 8 777 1.1× 630 1.4× 164 0.6× 125 0.5× 73 0.4× 9 992
Luana S. Maroja United States 16 634 0.9× 489 1.1× 204 0.8× 221 0.9× 297 1.6× 34 1.1k
Zach Gompert United States 9 473 0.7× 266 0.6× 126 0.5× 100 0.4× 123 0.7× 14 662
Sean Stankowski United Kingdom 17 508 0.7× 315 0.7× 199 0.7× 138 0.6× 261 1.4× 38 868
Joan Balanyà Spain 19 747 1.1× 417 0.9× 176 0.7× 544 2.3× 529 2.9× 34 1.4k
Gina L. Conte Canada 9 934 1.4× 400 0.9× 234 0.9× 79 0.3× 294 1.6× 10 1.3k
Krzysztof M. Kozak United Kingdom 12 507 0.7× 434 0.9× 292 1.1× 203 0.9× 79 0.4× 17 960

Countries citing papers authored by Konrad Lohse

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Lohse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Lohse

This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Lohse. A scholar is included among the top collaborators of Konrad Lohse 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 Konrad Lohse. Konrad Lohse 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.
Laetsch, Dominik R., et al.. (2025). Wolbachia Host Shifts and Widespread Occurrence of Reproductive Manipulation Loci in European Butterflies. Molecular Ecology. 34(21). e70125–e70125.
2.
Vila, Roger, et al.. (2024). Rewinding the Ratchet: Rare Recombination Locally Rescues Neo-W Degeneration and Generates Plateaus of Sex-Chromosome Divergence. Molecular Biology and Evolution. 41(7). 2 indexed citations
3.
Laetsch, Dominik R., et al.. (2024). Chromosomal Inversions and the Demography of Speciation in Drosophila montana and Drosophila flavomontana. Genome Biology and Evolution. 16(3). 3 indexed citations
4.
Mackintosh, Alexander, Roger Vila, Dominik R. Laetsch, et al.. (2023). Chromosome Fissions and Fusions Act as Barriers to Gene Flow betweenBrenthisFritillary Butterflies. Molecular Biology and Evolution. 40(3). 28 indexed citations
5.
Mackintosh, Alexander, Dominik R. Laetsch, Tobias Baril, et al.. (2022). The genome sequence of the lesser marbled fritillary, Brenthis ino , and evidence for a segregating neo-Z chromosome. G3 Genes Genomes Genetics. 12(6). 9 indexed citations
6.
7.
Mackintosh, Alexander, Dominik R. Laetsch, Tobias Baril, et al.. (2022). The genome sequence of the scarce swallowtail, Iphiclides podalirius. G3 Genes Genomes Genetics. 12(9). 7 indexed citations
8.
Jackson, Ben, et al.. (2022). Estimating the rates of crossover and gene conversion from individual genomes. Genetics. 222(1). 4 indexed citations
9.
Bisschop, Gertjan, et al.. (2021). Sweeps in time: leveraging the joint distribution of branch lengths. Genetics. 219(2). 9 indexed citations
10.
Walton, William E., Graham N. Stone, & Konrad Lohse. (2021). Discordant Pleistocene population size histories in a guild of hymenopteran parasitoids. Molecular Ecology. 30(18). 4538–4550. 6 indexed citations
11.
Bisschop, Gertjan, et al.. (2020). The impact of global selection on local adaptation and reproductive isolation. Philosophical Transactions of the Royal Society B Biological Sciences. 375(1806). 20190531–20190531. 9 indexed citations
12.
Bunnefeld, Lynsey, et al.. (2020). Low‐coverage genomic data resolve the population divergence and gene flow history of an Australian rain forest fig wasp. Molecular Ecology. 29(19). 3649–3666. 9 indexed citations
13.
Mackintosh, Alexander, Dominik R. Laetsch, Alexander Hayward, et al.. (2019). The determinants of genetic diversity in butterflies. Nature Communications. 10(1). 3466–3466. 76 indexed citations
14.
Weigert, Anne, Cathrin Spröer, Manjusha Chintalapati, et al.. (2018). Divergent evolution in the genomes of closely related lacertids, Lacerta viridis and L. bilineata, and implications for speciation. GigaScience. 8(2). 10 indexed citations
15.
Bunnefeld, Lynsey, Jack Hearn, Graham N. Stone, & Konrad Lohse. (2018). Whole-genome data reveal the complex history of a diverse ecological community. Proceedings of the National Academy of Sciences. 115(28). E6507–E6515. 34 indexed citations
16.
Jordan, Crispin Y., Konrad Lohse, Frances Turner, et al.. (2017). Maintaining their genetic distance: Little evidence for introgression between widely hybridizing species of Geum with contrasting mating systems. Molecular Ecology. 27(5). 1214–1228. 16 indexed citations
17.
Nürnberger, Beate, Konrad Lohse, Anna Fijarczyk, Jacek M. Szymura, & Mark Blaxter. (2016). Para-allopatry in hybridizing fire-bellied toads ( Bombina bombina and B. variegata ): Inference from transcriptome-wide coalescence analyses. Evolution. 70(8). 1803–1818. 20 indexed citations
18.
Lohse, Konrad, Martin Chmelík, Simon H. Martin, & Nick Barton. (2015). Efficient Strategies for Calculating Blockwise Likelihoods Under the Coalescent. Genetics. 202(2). 775–786. 35 indexed citations
19.
Lohse, Konrad, Richard J. Harrison, & Nick Barton. (2011). A General Method for Calculating Likelihoods Under the Coalescent Process. Genetics. 189(3). 977–987. 67 indexed citations
20.
Lohse, Konrad. (1987). CONSISTENCY OF THE BOOTSTRAP. Statistics & Risk Modeling. 5. 353–366. 7 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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