Gabriele Buchmann

1.4k total citations
34 papers, 916 citations indexed

About

Gabriele Buchmann is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gabriele Buchmann has authored 34 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Insect Science, 23 papers in Genetics and 20 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gabriele Buchmann's work include Insect and Arachnid Ecology and Behavior (23 papers), Insect and Pesticide Research (22 papers) and Plant and animal studies (20 papers). Gabriele Buchmann is often cited by papers focused on Insect and Arachnid Ecology and Behavior (23 papers), Insect and Pesticide Research (22 papers) and Plant and animal studies (20 papers). Gabriele Buchmann collaborates with scholars based in Australia, Germany and Switzerland. Gabriele Buchmann's co-authors include Emily J. Remnant, Madeleine Beekman, Benjamin P. Oldroyd, Beat Keller, Alyson Ashe, Susanne Brunner, Gerhard Herren, Tina Jordan, Thomas Wicker and Severine Hurni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLANT PHYSIOLOGY.

In The Last Decade

Gabriele Buchmann

33 papers receiving 911 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriele Buchmann Australia 17 464 368 367 311 162 34 916
Mario X. Ruiz‐González Spain 13 132 0.3× 328 0.9× 363 1.0× 302 1.0× 248 1.5× 32 760
Nathaniel P. Sharp Canada 15 93 0.2× 471 1.3× 94 0.3× 272 0.9× 172 1.1× 27 648
Ji‐Chong Zhuo China 13 295 0.6× 233 0.6× 550 1.5× 147 0.5× 361 2.2× 28 877
Anne Génissel France 14 439 0.9× 260 0.7× 469 1.3× 230 0.7× 502 3.1× 20 936
Ramesh Arunkumar United Kingdom 8 191 0.4× 194 0.5× 58 0.2× 194 0.6× 196 1.2× 16 426
Masatoshi Tomaru Japan 16 143 0.3× 369 1.0× 187 0.5× 388 1.2× 70 0.4× 34 665
Sara L. Hermann United States 12 400 0.9× 89 0.2× 569 1.6× 260 0.8× 51 0.3× 19 758
Yoshitaka Suetsugu Japan 15 229 0.5× 260 0.7× 514 1.4× 130 0.4× 405 2.5× 25 919
David Lepetit France 14 378 0.8× 181 0.5× 457 1.2× 77 0.2× 332 2.0× 26 888
Stéphanie Jaubert‐Possamai France 19 593 1.3× 202 0.5× 546 1.5× 118 0.4× 409 2.5× 24 1.1k

Countries citing papers authored by Gabriele Buchmann

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Buchmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Buchmann

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Buchmann. A scholar is included among the top collaborators of Gabriele Buchmann 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 Gabriele Buchmann. Gabriele Buchmann 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.
Lan, Tianyu, Gabriele Buchmann, Vera Wewer, et al.. (2025). PHOTOPERIOD 1 enhances stress resistance and energy metabolism to promote spike fertility in barley under high ambient temperatures. PLANT PHYSIOLOGY. 197(4). 2 indexed citations
2.
3.
Lim, Julianne, et al.. (2024). The use of drone congregation behaviour for population surveys of the honey bee Apis cerana. Apidologie. 55(1). 3 indexed citations
4.
Ding, Guiling, et al.. (2024). Serial founder effects slow range expansion in an invasive social insect. Nature Communications. 15(1). 3608–3608. 8 indexed citations
5.
Heard, Tim A., et al.. (2023). Shifting range in a stingless bee leads to pre-mating reproductive interference between species. Conservation Genetics. 24(4). 449–459. 4 indexed citations
6.
Buchmann, Gabriele, et al.. (2023). early maturity 7 promotes early flowering by controlling the light input into the circadian clock in barley. PLANT PHYSIOLOGY. 194(2). 849–866. 3 indexed citations
7.
Buchmann, Gabriele, et al.. (2023). Virus replication in the honey bee parasite, Varroa destructor. Journal of Virology. 97(12). e0114923–e0114923. 16 indexed citations
8.
Colin, Théotime, et al.. (2022). Virgin queen behaviour and controlled mating in the stingless bee Tetragonula carbonaria (Meliponini). Insectes Sociaux. 70(1). 17–27. 3 indexed citations
9.
Buchmann, Gabriele, Paul Young, Kitty Lo, et al.. (2022). Abundant small RNAs in the reproductive tissues and eggs of the honey bee, Apis mellifera. BMC Genomics. 23(1). 257–257. 11 indexed citations
10.
Oldroyd, Benjamin P., Boris Yagound, Michael H. Allsopp, et al.. (2021). Adaptive, caste-specific changes to recombination rates in a thelytokous honeybee population. Proceedings of the Royal Society B Biological Sciences. 288(1952). 20210729–20210729. 4 indexed citations
11.
12.
Yagound, Boris, Amro Zayed, Julianne Lim, et al.. (2020). A Single Gene Causes Thelytokous Parthenogenesis, the Defining Feature of the Cape Honeybee Apis mellifera capensis. Current Biology. 30(12). 2248–2259.e6. 22 indexed citations
13.
Parlange, Francis, Gabriele Buchmann, Esther Jung, et al.. (2020). Cross-Kingdom RNAi of Pathogen Effectors Leads to Quantitative Adult Plant Resistance in Wheat. Frontiers in Plant Science. 11. 253–253. 27 indexed citations
14.
Yagound, Boris, Nicholas M. A. Smith, Gabriele Buchmann, Benjamin P. Oldroyd, & Emily J. Remnant. (2019). Unique DNA Methylation Profiles Are Associated with cis-Variation in Honey Bees. Genome Biology and Evolution. 11(9). 2517–2530. 26 indexed citations
15.
Singh, Simrat, Severine Hurni, Susanne Brunner, et al.. (2018). Evolutionary divergence of the rye Pm17 and Pm8 resistance genes reveals ancient diversity. Plant Molecular Biology. 98(3). 249–260. 78 indexed citations
16.
Buchmann, Gabriele, Dylan Harney, Jason K. K. Low, et al.. (2018). Chromatin Modifiers SET-25 and SET-32 Are Required for Establishment but Not Long-Term Maintenance of Transgenerational Epigenetic Inheritance. Cell Reports. 25(8). 2259–2272.e5. 44 indexed citations
17.
Gloag, Rosalyn, Guiling Ding, Joshua R. Christie, et al.. (2016). An invasive social insect overcomes genetic load at the sex locus. Nature Ecology & Evolution. 1(1). 11–11. 46 indexed citations
18.
Remnant, Emily J., Alyson Ashe, Paul Young, et al.. (2016). Parent-of-origin effects on genome-wide DNA methylation in the Cape honey bee (Apis mellifera capensis) may be confounded by allele-specific methylation. BMC Genomics. 17(1). 226–226. 38 indexed citations
19.
Parlange, Francis, Stefan Roffler, Fabrizio Menardo, et al.. (2015). Genetic and molecular characterization of a locus involved in avirulence of Blumeria graminis f. sp. tritici on wheat Pm3 resistance alleles. Fungal Genetics and Biology. 82. 181–192. 40 indexed citations
20.
Chauhan, Harsh, Rainer Böni, Benjamin M. Kuhn, et al.. (2015). The wheat resistance gene Lr34 results in the constitutive induction of multiple defense pathways in transgenic barley. The Plant Journal. 84(1). 202–215. 40 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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