Silke Stach

1.1k total citations
9 papers, 711 citations indexed

About

Silke Stach is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Silke Stach has authored 9 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, Evolution, Behavior and Systematics, 8 papers in Genetics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Silke Stach's work include Plant and animal studies (9 papers), Insect and Arachnid Ecology and Behavior (8 papers) and Neurobiology and Insect Physiology Research (7 papers). Silke Stach is often cited by papers focused on Plant and animal studies (9 papers), Insect and Arachnid Ecology and Behavior (8 papers) and Neurobiology and Insect Physiology Research (7 papers). Silke Stach collaborates with scholars based in Germany, France and Argentina. Silke Stach's co-authors include Martín Giurfa, Julie Bénard, Nicola Stollhoff, Randolf Menzel, Frank Schaupp, Uwe Greggers, A. D. Smith, Robert Brandt, Jan Stindt and Sascha Brunke and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Silke Stach

9 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silke Stach Germany	9	492	423	320	167	105	9	711
Nicola Stollhoff Germany	8	353 0.7×	312 0.7×	299 0.9×	150 0.9×	135 1.3×	8	608
Juergen Tautz Australia	7	401 0.8×	376 0.9×	255 0.8×	198 1.2×	104 1.0×	8	586
Aung Si Australia	15	392 0.8×	346 0.8×	316 1.0×	164 1.0×	118 1.1×	36	885
Matthias Wittlinger Germany	13	444 0.9×	483 1.1×	388 1.2×	67 0.4×	106 1.0×	18	794
Thomas S. Collett United Kingdom	12	518 1.1×	516 1.2×	493 1.5×	57 0.3×	155 1.5×	14	825
Rodrigo J. De Marco Germany	16	352 0.7×	324 0.8×	224 0.7×	230 1.4×	144 1.4×	34	766
Karl Geiger Germany	9	331 0.7×	257 0.6×	254 0.8×	71 0.4×	85 0.8×	10	517
Martin M. Müller Germany	7	474 1.0×	517 1.2×	488 1.5×	45 0.3×	196 1.9×	12	980
Frank Schaupp Germany	5	242 0.5×	208 0.5×	157 0.5×	107 0.6×	52 0.5×	6	402
Guy Beugnon France	23	948 1.9×	899 2.1×	465 1.5×	208 1.2×	164 1.6×	48	1.3k

Countries citing papers authored by Silke Stach

Since Specialization

Citations

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

Fields of papers citing papers by Silke Stach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Stach

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Gempe, Tanja, Silke Stach, Kaspar Bienefeld, Marianne Otte, & Martin Beye. (2016). Behavioral and molecular studies of quantitative differences in hygienic behavior in honeybees. BMC Research Notes. 9(1). 474–474. 13 indexed citations

2.

Gempe, Tanja, Silke Stach, Kaspar Bienefeld, & Martin Beye. (2012). Mixing of Honeybees with Different Genotypes Affects Individual Worker Behavior and Transcription of Genes in the Neuronal Substrate. PLoS ONE. 7(2). e31653–e31653. 16 indexed citations

3.

Bénard, Julie, Silke Stach, & Martín Giurfa. (2006). Categorization of visual stimuli in the honeybee Apis mellifera. Animal Cognition. 9(4). 257–270. 100 indexed citations

4.

Menzel, Randolf, Uwe Greggers, A. D. Smith, et al.. (2005). Honey bees navigate according to a map-like spatial memory. Proceedings of the National Academy of Sciences. 102(8). 3040–3045. 273 indexed citations

5.

Stach, Silke & Martín Giurfa. (2005). The influence of training length on generalization of visual feature assemblies in honeybees. Behavioural Brain Research. 161(1). 8–17. 46 indexed citations

6.

Stach, Silke, Julie Bénard, & Martín Giurfa. (2004). Local-feature assembling in visual pattern recognition and generalization in honeybees. Nature. 429(6993). 758–761. 112 indexed citations

7.

Riley, J. R., Uwe Greggers, A. D. Smith, et al.. (2003). The automatic pilot of honeybees. Proceedings of the Royal Society B Biological Sciences. 270(1532). 2421–2424. 40 indexed citations

8.

Stach, Silke & Martín Giurfa. (2001). How honeybees generalize visual patterns to their mirror image and left–right transformation. Animal Behaviour. 62(5). 981–991. 11 indexed citations

9.

Giurfa, Martín, et al.. (1999). Pattern learning by honeybees: conditioning procedure and recognition strategy. Animal Behaviour. 57(2). 315–324. 100 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.

Explore authors with similar magnitude of impact