Richard Sando

1.9k total citations
22 papers, 1.2k citations indexed

About

Richard Sando is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Richard Sando has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Richard Sando's work include Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuropeptides and Animal Physiology (4 papers). Richard Sando is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuropeptides and Animal Physiology (4 papers). Richard Sando collaborates with scholars based in United States. Richard Sando's co-authors include Thomas C. Südhof, Anton Maximov, Xian Jiang, Simon Pieraut, John R. Yates, Lujian Liao, Natalia V. Gounko, Franck Polleux, Demet Araç and Tommy L. Lewis and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Richard Sando

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Sando United States 15 830 628 186 124 120 22 1.2k
Kimberly Gerrow Canada 11 779 0.9× 875 1.4× 372 2.0× 155 1.3× 189 1.6× 13 1.5k
Fekrije Selimi France 17 533 0.6× 504 0.8× 155 0.8× 76 0.6× 171 1.4× 27 1.2k
Kirill E. Volynski United Kingdom 25 1.0k 1.2× 830 1.3× 350 1.9× 273 2.2× 191 1.6× 39 1.6k
René Jüttner Germany 23 771 0.9× 697 1.1× 135 0.7× 106 0.9× 144 1.2× 44 1.4k
Talley J. Lambert United States 18 733 0.9× 299 0.5× 168 0.9× 63 0.5× 117 1.0× 23 1.5k
Ingrid Chamma France 14 481 0.6× 534 0.9× 174 0.9× 43 0.3× 95 0.8× 19 835
Silvia Bassani Italy 19 683 0.8× 510 0.8× 257 1.4× 267 2.2× 117 1.0× 27 1.2k
Julia L. Bachman United States 10 752 0.9× 552 0.9× 272 1.5× 91 0.7× 264 2.2× 13 1.3k
Witold Konopka Poland 15 621 0.7× 340 0.5× 158 0.8× 111 0.9× 128 1.1× 32 1.3k
Henrik Martens Germany 19 655 0.8× 423 0.7× 339 1.8× 90 0.7× 86 0.7× 29 1.5k

Countries citing papers authored by Richard Sando

Since Specialization
Citations

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

Fields of papers citing papers by Richard Sando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Sando

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Sando. A scholar is included among the top collaborators of Richard Sando 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 Richard Sando. Richard Sando 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.
Sando, Richard, et al.. (2026). The expanding roles of adhesion GPCRs in neural circuit assembly. Molecules and Cells. 49(3). 100328–100328.
2.
Xue, Yang, Feng He, Vanessa Lopez-Pajares, et al.. (2025). The adhesion GPCR ADGRL2 engages Gα13 to enable epidermal differentiation. Proceedings of the National Academy of Sciences. 122(47). e2508436122–e2508436122.
3.
Garbett, Krassimira, et al.. (2025). Structural basis for regulation of CELSR1 by a compact module in its extracellular region. Nature Communications. 16(1). 3972–3972. 1 indexed citations
4.
Sando, Richard, et al.. (2024). Essential Role of Latrophilin-1 Adhesion GPCR Nanoclusters in Inhibitory Synapses. Journal of Neuroscience. 44(23). e1978232024–e1978232024. 3 indexed citations
5.
Garbett, Krassimira, et al.. (2024). Synaptic Gα12/13 signaling establishes hippocampal PV inhibitory circuits. Proceedings of the National Academy of Sciences. 121(52). e2407828121–e2407828121. 4 indexed citations
6.
Roach, Andrew T., et al.. (2023). The adhesion GPCRs CELSR1–3 and LPHN3 engage G proteins via distinct activation mechanisms. Cell Reports. 42(6). 112552–112552. 14 indexed citations
7.
Sando, Richard, et al.. (2021). Multiple signaling pathways are essential for synapse formation induced by synaptic adhesion molecules. Proceedings of the National Academy of Sciences. 118(3). 28 indexed citations
8.
Li, Jingxian, Yuan Xie, Xian Jiang, et al.. (2020). Alternative splicing controls teneurin-latrophilin interaction and synapse specificity by a shape-shifting mechanism. Nature Communications. 11(1). 2140–2140. 46 indexed citations
9.
Sando, Richard, Xian Jiang, & Thomas C. Südhof. (2019). Latrophilin GPCRs direct synapse specificity by coincident binding of FLRTs and teneurins. Science. 363(6429). 165 indexed citations
10.
Kirmiz, Michael, Stephanie Palacio, Claudia M. Moreno, et al.. (2019). A toolbox of nanobodies developed and validated for use as intrabodies and nanoscale immunolabels in mammalian brain neurons. eLife. 8. 43 indexed citations
11.
Li, Jingxian, Moran Shalev-Benami, Richard Sando, et al.. (2018). Structural Basis for Teneurin Function in Circuit-Wiring: A Toxin Motif at the Synapse. Cell. 173(3). 735–748.e15. 100 indexed citations
12.
Anderson, Garret R., Stephan Maxeiner, Richard Sando, et al.. (2017). Postsynaptic adhesion GPCR latrophilin-2 mediates target recognition in entorhinal-hippocampal synapse assembly. The Journal of Cell Biology. 216(11). 3831–3846. 75 indexed citations
13.
Sando, Richard, Eric A. Bushong, Yongchuan Zhu, et al.. (2017). Assembly of Excitatory Synapses in the Absence of Glutamatergic Neurotransmission. Neuron. 94(2). 312–321.e3. 78 indexed citations
14.
Leon, Katherine, Yue Lü, Richard Sando, et al.. (2017). Structural and Functional Studies of Latrophilin‐Family Adhesion G‐Protein Coupled Receptors. The FASEB Journal. 31(S1). 1 indexed citations
15.
Kwon, Seok‐Kyu, Richard Sando, Tommy L. Lewis, et al.. (2016). LKB1 Regulates Mitochondria-Dependent Presynaptic Calcium Clearance and Neurotransmitter Release Properties at Excitatory Synapses along Cortical Axons. PLoS Biology. 14(7). e1002516–e1002516. 135 indexed citations
16.
Lü, Yue, Richard Sando, Gabriel Salzman, et al.. (2015). Structural Basis of Latrophilin-FLRT-UNC5 Interaction in Cell Adhesion. Structure. 23(9). 1678–1691. 96 indexed citations
17.
Pieraut, Simon, Natalia V. Gounko, Richard Sando, et al.. (2014). Experience-Dependent Remodeling of Basket Cell Networks in the Dentate Gyrus. Neuron. 84(1). 107–122. 22 indexed citations
18.
Sando, Richard, Karsten Baumgaertel, Simon Pieraut, et al.. (2013). Inducible control of gene expression with destabilized Cre. Nature Methods. 10(11). 1085–1088. 68 indexed citations
19.
Sando, Richard, Natalia V. Gounko, Simon Pieraut, et al.. (2012). HDAC4 Governs a Transcriptional Program Essential for Synaptic Plasticity and Memory. Cell. 151(4). 821–834. 204 indexed citations
20.
Liao, Lujian, et al.. (2011). 15N-Labeled Brain Enables Quantification of Proteome and Phosphoproteome in Cultured Primary Neurons. Journal of Proteome Research. 11(2). 1341–1353. 14 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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