Nicole Scholz

962 total citations
21 papers, 553 citations indexed

About

Nicole Scholz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Nicole Scholz has authored 21 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Nicole Scholz's work include Neurobiology and Insect Physiology Research (10 papers), Receptor Mechanisms and Signaling (8 papers) and Cellular transport and secretion (4 papers). Nicole Scholz is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Receptor Mechanisms and Signaling (8 papers) and Cellular transport and secretion (4 papers). Nicole Scholz collaborates with scholars based in Germany, Slovenia and Türkiye. Nicole Scholz's co-authors include Tobias Langenhan, Robert J. Kittel, Chonglin Guan, Dmitrij Ljaschenko, Markus Sauer, Kelly R. Monk, Simone Prömel, Torsten Schöneberg, Georg Nagel and Mateja Erdani Kreft and has published in prestigious journals such as Nature, The Journal of Cell Biology and Molecular Cell.

In The Last Decade

Nicole Scholz

20 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole Scholz Germany 10 394 250 89 81 74 21 553
W. David Culp United States 7 510 1.3× 201 0.8× 48 0.5× 102 1.3× 66 0.9× 10 832
Jurgen F.M. Vanhauwe Belgium 8 596 1.5× 302 1.2× 27 0.3× 80 1.0× 52 0.7× 10 791
Simone Prömel Germany 14 754 1.9× 461 1.8× 195 2.2× 106 1.3× 50 0.7× 35 979
D. Scott Witherow United States 11 458 1.2× 174 0.7× 48 0.5× 89 1.1× 26 0.4× 15 632
Simone Diestel Germany 15 424 1.1× 164 0.7× 29 0.3× 117 1.4× 35 0.5× 21 652
Amanda K. Nosie United States 3 262 0.7× 80 0.3× 29 0.3× 100 1.2× 126 1.7× 5 603
Lin Yan United States 7 380 1.0× 156 0.6× 29 0.3× 109 1.3× 58 0.8× 8 566
Thóra K. Bjarnadóttir Sweden 8 650 1.6× 463 1.9× 65 0.7× 52 0.6× 36 0.5× 10 875
Jane Dingus United States 17 793 2.0× 261 1.0× 54 0.6× 352 4.3× 52 0.7× 25 1.1k
E. André Germany 7 389 1.0× 198 0.8× 78 0.9× 237 2.9× 117 1.6× 9 921

Countries citing papers authored by Nicole Scholz

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Scholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Scholz

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Scholz. A scholar is included among the top collaborators of Nicole Scholz 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 Nicole Scholz. Nicole Scholz 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.
Horvat, Anemari, et al.. (2025). Ca 2+ excitability of glia to neuromodulator octopamine in Drosophila living brain is greater than that of neurons. Acta Physiologica. 241(2). e14270–e14270. 1 indexed citations
2.
Lede, Vera, Michael Schleyer, Evi Kostenis, et al.. (2024). Intron retention of an adhesion GPCR generates 1TM isoforms required for 7TM-GPCR function. Cell Reports. 44(1). 115078–115078. 1 indexed citations
3.
Bondar, Ana‐Nicoleta, Julie Dam, Zafiroula Georgoussi, et al.. (2024). ERNEST COST action overview on the (patho)physiology of GPCRs and orphan GPCRs in the nervous system. British Journal of Pharmacology. 182(14). 3178–3210. 4 indexed citations
4.
Müller, Lena, Wolf Huetteroth, Peter W. Hildebrand, et al.. (2024). The adhesion G-protein-coupled receptor mayo/CG11318 controls midgut development in Drosophila. Cell Reports. 43(1). 113640–113640. 2 indexed citations
6.
Scholz, Nicole, Beatriz Blanco-Redondo, Franziska Klose, et al.. (2023). Molecular sensing of mechano- and ligand-dependent adhesion GPCR dissociation. Nature. 615(7954). 945–953. 25 indexed citations
7.
Tang, Ruijing, et al.. (2023). Combining different ion-selective channelrhodopsins to control water flux by light. Pflügers Archiv - European Journal of Physiology. 475(12). 1375–1385. 3 indexed citations
8.
Ljaschenko, Dmitrij, et al.. (2023). Experimental modulation of physiological force application on leg joint neurons in intact Drosophila melanogaster. Nature Protocols. 19(1). 113–126. 1 indexed citations
9.
Krohn, Knut, Diana Le Duc, Mathias A. Böhme, et al.. (2022). Improving one-step scarless genome editing in Drosophila melanogaster by combining ovoD co-CRISPR selection with sgRNA target site masking. Biology Methods and Protocols. 7(1). bpac003–bpac003.
10.
Paul, Mila M., Georgios N. Hatzopoulos, Martin Pauli, et al.. (2022). The human cognition-enhancing CORD7 mutation increases active zone number and synaptic release. Brain. 145(11). 3787–3802. 8 indexed citations
11.
Zacher, Pia, Tobias Bartolomaeus, Nicole Scholz, et al.. (2022). Altered gene expression profiles impair the nervous system development in individuals with 15q13.3 microdeletion. Scientific Reports. 12(1). 13507–13507. 2 indexed citations
12.
Keßler, Renate, et al.. (2021). Functional diversity of PFKFB3 splice variants in glioblastomas. PLoS ONE. 16(7). e0241092–e0241092. 4 indexed citations
13.
Beliu, Gerti, Ramón Guixà-González, Nicole Scholz, et al.. (2021). Tethered agonist exposure in intact adhesion/class B2 GPCRs through intrinsic structural flexibility of the GAIN domain. Molecular Cell. 81(5). 905–921.e5. 50 indexed citations
14.
Horvat, Anemari, Larisa Tratnjek, Mateja Erdani Kreft, et al.. (2021). Astrocytes in stress accumulate lipid droplets. Glia. 69(6). 1540–1562. 78 indexed citations
15.
Liebscher, Ines, Cheng‐Chih Hsiao, André F. Maia, et al.. (2021). A guide to adhesion GPCR research. FEBS Journal. 289(24). 7610–7630. 27 indexed citations
16.
Scholz, Nicole, Tobias Langenhan, & Torsten Schöneberg. (2019). Revisiting the classification of adhesion GPCRs. Annals of the New York Academy of Sciences. 1456(1). 80–95. 26 indexed citations
17.
Scholz, Nicole. (2018). Cancer Cell Mechanics: Adhesion G Protein-coupled Receptors in Action?. Frontiers in Oncology. 8. 59–59. 25 indexed citations
18.
Scholz, Nicole, Chonglin Guan, Isabella Maiellaro, et al.. (2017). Mechano-dependent signaling by Latrophilin/CIRL quenches cAMP in proprioceptive neurons. eLife. 6. 111 indexed citations
19.
Scholz, Nicole, Kelly R. Monk, Robert J. Kittel, & Tobias Langenhan. (2016). Adhesion GPCRs as a Putative Class of Metabotropic Mechanosensors. Handbook of experimental pharmacology. 234. 221–247. 41 indexed citations
20.
Scholz, Nicole, et al.. (2015). The Adhesion GPCR Latrophilin/CIRL Shapes Mechanosensation. Cell Reports. 11(6). 866–874. 124 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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