Sidney Cambridge

1.7k total citations
24 papers, 1.3k citations indexed

About

Sidney Cambridge is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Sidney Cambridge has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Sidney Cambridge's work include Neuroscience and Neuropharmacology Research (6 papers), Photoreceptor and optogenetics research (5 papers) and bioluminescence and chemiluminescence research (5 papers). Sidney Cambridge is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Photoreceptor and optogenetics research (5 papers) and bioluminescence and chemiluminescence research (5 papers). Sidney Cambridge collaborates with scholars based in Germany, United States and France. Sidney Cambridge's co-authors include Tobias Bonhoeffer, U. Valentin Nägerl, Chuong Nguyen, Marcus Krüger, Florian Gnad, Matthias Mann, Justo Lorenzo Bermejo, Daniel Geißler, Jonathan S. Minden and Albrecht Kossel and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Sidney Cambridge

24 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sidney Cambridge Germany 14 718 609 223 179 166 24 1.3k
Pamela M. England United States 19 877 1.2× 843 1.4× 154 0.7× 108 0.6× 70 0.4× 26 1.4k
Sergei Smirnov Finland 18 912 1.3× 791 1.3× 286 1.3× 156 0.9× 79 0.5× 24 1.6k
Jai‐Yoon Sul United States 23 596 0.8× 1.2k 1.9× 99 0.4× 71 0.4× 134 0.8× 38 1.8k
Toru Ishizuka Japan 26 1.6k 2.2× 1.2k 2.0× 452 2.0× 163 0.9× 116 0.7× 75 2.8k
Jubin Ryu United States 6 340 0.5× 518 0.9× 174 0.8× 81 0.5× 74 0.4× 7 1.0k
Amy Hu United States 11 884 1.2× 498 0.8× 497 2.2× 59 0.3× 32 0.2× 18 1.5k
Takayasu Mikuni Japan 10 319 0.4× 409 0.7× 85 0.4× 79 0.4× 79 0.5× 22 754
Glen S. Marrs United States 18 428 0.6× 380 0.6× 111 0.5× 37 0.2× 108 0.7× 25 866
Lorenzo A. Cingolani Italy 18 1.2k 1.7× 1.1k 1.9× 251 1.1× 85 0.5× 147 0.9× 33 2.1k
Sachiko Murase United States 19 525 0.7× 628 1.0× 100 0.4× 60 0.3× 134 0.8× 39 1.1k

Countries citing papers authored by Sidney Cambridge

Since Specialization
Citations

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

Fields of papers citing papers by Sidney Cambridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sidney Cambridge

This figure shows the co-authorship network connecting the top 25 collaborators of Sidney Cambridge. A scholar is included among the top collaborators of Sidney Cambridge 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 Sidney Cambridge. Sidney Cambridge 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.
Xu, Liang, et al.. (2024). In Vivo Optogenetic Manipulation of Transgene Expression in Retinal Neurovasculature. SHILAP Revista de lepidopterología. 4(8). 2818–2825. 2 indexed citations
2.
Brito, David V.C., Janina Kupke, Sidney Cambridge, et al.. (2024). Biphasic Npas4 expression promotes inhibitory plasticity and suppression of fear memory consolidation in mice. Molecular Psychiatry. 29(7). 1929–1940. 7 indexed citations
3.
Knabbe, Johannes, et al.. (2023). In Vivo Optical Interrogation of Neuronal Responses to Genetic, Cell Type-Specific Silencing. Journal of Neuroscience. 43(50). 8607–8620. 3 indexed citations
4.
Xu, Liang, Tschackad Kamali, Carolyn Vargas, et al.. (2023). Towards a Light‐mediated Gene Therapy for the Eye using Caged Ethinylestradiol and the Inducible Cre/lox System. Angewandte Chemie International Edition. 63(9). e202317675–e202317675. 1 indexed citations
5.
Knabbe, Johannes, Michael L. Berger, Dominik Dannehl, et al.. (2022). Single-dose ethanol intoxication causes acute and lasting neuronal changes in the brain. Proceedings of the National Academy of Sciences. 119(25). e2122477119–e2122477119. 15 indexed citations
6.
Zink, Annika, Narasimha Swamy Telugu, Mathias Beller, et al.. (2022). High-content analysis of neuronal morphology in human iPSC-derived neurons. STAR Protocols. 3(3). 101567–101567. 9 indexed citations
7.
Cambridge, Sidney. (2019). Hypothesis: protein and RNA attributes are continuously optimized over time. BMC Genomics. 20(1). 1012–1012. 2 indexed citations
8.
Sottas, Valentin, et al.. (2018). Improving electrical properties of iPSC-cardiomyocytes by enhancing Cx43 expression. Journal of Molecular and Cellular Cardiology. 120. 31–41. 27 indexed citations
9.
Cambridge, Sidney, et al.. (2017). An Overview of Advanced SILAC-Labeling Strategies for Quantitative Proteomics. Methods in enzymology on CD-ROM/Methods in enzymology. 585. 29–47. 9 indexed citations
10.
Cambridge, Sidney. (2014). Photoswitching proteins : methods and protocols. Humana Press eBooks. 2 indexed citations
11.
Thome, Christian, T. Kelly, Christian Schultz, et al.. (2014). Axon-Carrying Dendrites Convey Privileged Synaptic Input in Hippocampal Neurons. Neuron. 83(6). 1418–1430. 80 indexed citations
12.
Tomita, Koichi, et al.. (2012). A Molecular Correlate of Ocular Dominance Columns in the Developing Mammalian Visual Cortex. Cerebral Cortex. 23(11). 2531–2541. 12 indexed citations
13.
Cambridge, Sidney, Daniel Geißler, Federico Calegari, et al.. (2009). Doxycycline-dependent photoactivated gene expression in eukaryotic systems. Nature Methods. 6(7). 527–531. 77 indexed citations
14.
Zhu, Peixin, M. Isabel Aller, Udo Baron, et al.. (2007). Silencing and Un-silencing of Tetracycline-Controlled Genes in Neurons. PLoS ONE. 2(6). e533–e533. 106 indexed citations
15.
Cambridge, Sidney, et al.. (2006). A Caged Doxycycline Analogue for Photoactivated Gene Expression. Angewandte Chemie International Edition. 45(14). 2229–2231. 56 indexed citations
16.
Cambridge, Sidney, et al.. (2006). A Caged Doxycycline Analogue for Photoactivated Gene Expression. Angewandte Chemie. 118(14). 2287–2289. 21 indexed citations
17.
Nägerl, U. Valentin, et al.. (2004). Bidirectional Activity-Dependent Morphological Plasticity in Hippocampal Neurons. Neuron. 44(5). 759–767. 460 indexed citations
18.
Kossel, Albrecht, Sidney Cambridge, Uta Wagner, & Tobias Bonhoeffer. (2001). A caged Ab reveals an immediate/instructive effect of BDNF during hippocampal synaptic potentiation. Proceedings of the National Academy of Sciences. 98(25). 14702–14707. 83 indexed citations
19.
Minden, Jonathan S., et al.. (2000). Photoactivated Gene Expression for Cell Fate Mapping and Cell Manipulation. Science s STKE. 2000(62). pl1–pl1. 18 indexed citations
20.
Cambridge, Sidney, Robert L. Davis, & Jonathan S. Minden. (1997). Drosophila Mitotic Domain Boundaries as Cell Fate Boundaries. Science. 277(5327). 825–828. 55 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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