Sören Diegelmann

951 total citations
13 papers, 563 citations indexed

About

Sören Diegelmann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Sören Diegelmann has authored 13 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Sören Diegelmann's work include Neurobiology and Insect Physiology Research (11 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Photoreceptor and optogenetics research (3 papers). Sören Diegelmann is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Photoreceptor and optogenetics research (3 papers). Sören Diegelmann collaborates with scholars based in Germany, United States and Switzerland. Sören Diegelmann's co-authors include Erich Buchner, Bertram Gerber, André Fiala, Birgit Michels, Silke Sachse, C. Giovanni Galizia, Jean‐Marc Devaud, Ayse Yarali, Paul Pauli and Markus Fendt and has published in prestigious journals such as Journal of Neuroscience, Current Biology and Scientific Reports.

In The Last Decade

Sören Diegelmann

13 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sören Diegelmann Germany 11 441 160 148 125 87 13 563
Sunhoe Bang South Korea 11 582 1.3× 148 0.9× 170 1.1× 108 0.9× 78 0.9× 13 813
Matthias Fischer Germany 6 434 1.0× 183 1.1× 124 0.8× 103 0.8× 121 1.4× 9 640
Jongkyun Kang United States 12 594 1.3× 158 1.0× 160 1.1× 111 0.9× 75 0.9× 20 788
Shouzhen Xia United States 9 447 1.0× 151 0.9× 117 0.8× 98 0.8× 89 1.0× 10 534
Ken Honjo Japan 12 506 1.1× 203 1.3× 190 1.3× 133 1.1× 94 1.1× 18 710
Aoife Larkin Ireland 8 315 0.7× 112 0.7× 162 1.1× 58 0.5× 76 0.9× 8 468
Oliver Barnstedt United Kingdom 7 461 1.0× 178 1.1× 77 0.5× 95 0.8× 123 1.4× 10 577
Raphael Cohn United States 6 545 1.2× 259 1.6× 107 0.7× 103 0.8× 174 2.0× 6 636
Karen Erbguth Germany 8 644 1.5× 167 1.0× 191 1.3× 91 0.7× 104 1.2× 8 831
Stephan Knapek Germany 10 548 1.2× 252 1.6× 82 0.6× 123 1.0× 184 2.1× 12 613

Countries citing papers authored by Sören Diegelmann

Since Specialization
Citations

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

Fields of papers citing papers by Sören Diegelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sören Diegelmann

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

All Works

13 of 13 papers shown
1.
Zhao, Chang, et al.. (2021). Predictive olfactory learning in Drosophila. Scientific Reports. 11(1). 6795–6795. 23 indexed citations
2.
Diegelmann, Sören, et al.. (2016). Stereotyped responses of Drosophila peptidergic neuronal ensemble depend on downstream neuromodulators. eLife. 5. 24 indexed citations
3.
Niewalda, Thomas, et al.. (2015). Synapsin Determines Memory Strength after Punishment- and Relief-Learning. Journal of Neuroscience. 35(19). 7487–7502. 24 indexed citations
4.
Gerber, Bertram, Ayse Yarali, Sören Diegelmann, et al.. (2014). Pain-relief learning in flies, rats, and man: basic research and applied perspectives. Learning & Memory. 21(4). 232–252. 93 indexed citations
5.
Diegelmann, Sören, et al.. (2013). Enhancer trap infidelity inDrosophila optomotor-blind. Fly. 7(2). 118–128. 8 indexed citations
6.
Diegelmann, Sören, et al.. (2013). Memory decay and susceptibility to amnesia dissociate punishment- from relief-learning. Biology Letters. 9(4). 20121171–20121171. 9 indexed citations
7.
Diegelmann, Sören, Bert R. E. Klagges, Birgit Michels, Michael Schleyer, & Bertram Gerber. (2013). Maggot learning and Synapsin function. Journal of Experimental Biology. 216(6). 939–951. 47 indexed citations
8.
Gupta, Tripti, Sejal Davla, Lucia L. Prieto-Godino, et al.. (2012). Neuroblast lineage-specific origin of the neurons of the Drosophila larval olfactory system. Developmental Biology. 373(2). 322–337. 26 indexed citations
9.
Saumweber, Timo, Stefan Hallermann, Sören Diegelmann, et al.. (2011). Behavioral and Synaptic Plasticity Are Impaired upon Lack of the Synaptic Protein SAP47. Journal of Neuroscience. 31(9). 3508–3518. 19 indexed citations
10.
Diegelmann, Sören, et al.. (2006). The conserved protein kinase-A target motif in synapsin of Drosophilais effectively modified by pre-mRNA editing. BMC Neuroscience. 7(1). 76–76. 16 indexed citations
11.
Michels, Birgit, et al.. (2005). A role for Synapsin in associative learning: The Drosophila larva as a study case. Learning & Memory. 12(3). 224–231. 66 indexed citations
12.
Fiala, André, Sören Diegelmann, Silke Sachse, et al.. (2002). Genetically Expressed Cameleon in Drosophila melanogaster Is Used to Visualize Olfactory Information in Projection Neurons. Current Biology. 12(21). 1877–1884. 169 indexed citations
13.
Diegelmann, Sören, et al.. (2002). Transgenic flies expressing the fluorescence calcium sensor cameleon 2.1 under UAS control. genesis. 34(1-2). 95–98. 39 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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