Kirsa Neuser

1.1k total citations
9 papers, 780 citations indexed

About

Kirsa Neuser is a scholar working on Cellular and Molecular Neuroscience, Immunology and Molecular Biology. According to data from OpenAlex, Kirsa Neuser has authored 9 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Kirsa Neuser's work include Neurobiology and Insect Physiology Research (8 papers), Invertebrate Immune Response Mechanisms (4 papers) and Insect Utilization and Effects (3 papers). Kirsa Neuser is often cited by papers focused on Neurobiology and Insect Physiology Research (8 papers), Invertebrate Immune Response Mechanisms (4 papers) and Insect Utilization and Effects (3 papers). Kirsa Neuser collaborates with scholars based in Germany, United States and Switzerland. Kirsa Neuser's co-authors include Roland Strauß, Tilman Triphan, Burkhard Poeck, Markus Mronz, Bertram Gerber, Laurent Seugnet, Marlène Cassar, Kazuhiko Kume, Magali Iché-Torres and Thomas Riemensperger and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Comparative Neurology.

In The Last Decade

Kirsa Neuser

9 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kirsa Neuser Germany	8	669	338	245	162	116	9	780
Johannes Felsenberg Germany	12	763 1.1×	413 1.2×	289 1.2×	203 1.3×	124 1.1×	17	903
Roman Ernst Germany	7	537 0.8×	329 1.0×	329 1.3×	104 0.6×	106 0.9×	7	735
Séverine Trannoy United States	11	785 1.2×	367 1.1×	264 1.1×	185 1.1×	177 1.5×	18	940
Kevin Mann United States	12	611 0.9×	214 0.6×	185 0.8×	188 1.2×	94 0.8×	14	759
Hyun-Gwan Lee United States	9	531 0.8×	259 0.8×	203 0.8×	162 1.0×	97 0.8×	9	689
Kazunori Shinomiya United States	10	740 1.1×	348 1.0×	294 1.2×	92 0.6×	181 1.6×	13	848
Gaurav Das United Kingdom	7	669 1.0×	360 1.1×	245 1.0×	186 1.1×	134 1.2×	10	794
Dennis Pauls Germany	18	953 1.4×	402 1.2×	287 1.2×	236 1.5×	195 1.7×	25	1.0k
Hokto Kazama Japan	14	608 0.9×	286 0.8×	210 0.9×	107 0.7×	85 0.7×	31	673
Raphael Cohn United States	6	545 0.8×	259 0.8×	174 0.7×	103 0.6×	107 0.9×	6	636

Countries citing papers authored by Kirsa Neuser

Since Specialization

Citations

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

Fields of papers citing papers by Kirsa Neuser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kirsa Neuser

This figure shows the co-authorship network connecting the top 25 collaborators of Kirsa Neuser. A scholar is included among the top collaborators of Kirsa Neuser 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 Kirsa Neuser. Kirsa Neuser 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

Backhaus, Philipp, Tobias Langenhan, & Kirsa Neuser. (2016). Effects of transgenic expression of botulinum toxins inDrosophila. Journal of Neurogenetics. 30(1). 22–31. 3 indexed citations

Wagner, Nicole, Ulrike Laugks, Manfred Heckmann, Esther Asan, & Kirsa Neuser. (2015). Aging Drosophila melanogaster display altered pre‐ and postsynaptic ultrastructure at adult neuromuscular junctions. The Journal of Comparative Neurology. 523(16). 2457–2475. 17 indexed citations

Triphan, Tilman, Burkhard Poeck, Kirsa Neuser, & Roland Strauß. (2010). Visual Targeting of Motor Actions in Climbing Drosophila. Current Biology. 20(7). 663–668. 69 indexed citations

Riemensperger, Thomas, Guillaume Isabel, Hélène Coulom, et al.. (2010). Behavioral consequences of dopamine deficiency in the Drosophila central nervous system. Proceedings of the National Academy of Sciences. 108(2). 834–839. 189 indexed citations

Poeck, Burkhard, Tilman Triphan, Kirsa Neuser, & Roland Strauß. (2008). Locomotor control by the central complex in Drosophila—An analysis of the tay bridge mutant. Developmental Neurobiology. 68(8). 1046–1058. 56 indexed citations

Neuser, Kirsa, Tilman Triphan, Markus Mronz, Burkhard Poeck, & Roland Strauß. (2008). Analysis of a spatial orientation memory in Drosophila. Nature. 453(7199). 1244–1247. 271 indexed citations

Hendel, Thomas, Birgit Michels, Kirsa Neuser, et al.. (2005). The carrot, not the stick: appetitive rather than aversive gustatory stimuli support associative olfactory learning in individually assayed Drosophila larvae. Journal of Comparative Physiology A. 191(3). 265–279. 55 indexed citations

Neuser, Kirsa, et al.. (2004). Appetitive olfactory learning in Drosophila larvae: effects of repetition, reward strength, age, gender, assay type and memory span. Animal Behaviour. 69(4). 891–898. 56 indexed citations

Gerber, Bertram, Stephen W. Scherer, Kirsa Neuser, et al.. (2003). Visual learning in individually assayedDrosophilalarvae. Journal of Experimental Biology. 207(1). 179–188. 64 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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