Sergi Simó

1.5k total citations
30 papers, 1.0k citations indexed

About

Sergi Simó is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Sergi Simó has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 11 papers in Cell Biology. Recurrent topics in Sergi Simó's work include Axon Guidance and Neuronal Signaling (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Ubiquitin and proteasome pathways (8 papers). Sergi Simó is often cited by papers focused on Axon Guidance and Neuronal Signaling (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers) and Ubiquitin and proteasome pathways (8 papers). Sergi Simó collaborates with scholars based in United States, Spain and France. Sergi Simó's co-authors include Jonathan A. Cooper, Eduardo Soriano, Anna La Torre, José Antonio del Rı́o, Lluı́s Pujadas, Jisoo S. Han, Libing Feng, Richard J. McKenney, Dan W. Nowakowski and Tracy Tan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Sergi Simó

30 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergi Simó United States 16 582 355 352 315 129 30 1.0k
Tomohiro Torii Japan 21 653 1.1× 320 0.9× 364 1.0× 185 0.6× 100 0.8× 67 1.1k
Geraldine Zimmer‐Bensch Germany 19 507 0.9× 416 1.2× 203 0.6× 225 0.7× 71 0.6× 42 936
Nobuo Funatsu Japan 17 673 1.2× 358 1.0× 238 0.7× 355 1.1× 83 0.6× 20 1.1k
Shinichi Nakamuta Japan 17 562 1.0× 502 1.4× 310 0.9× 211 0.7× 75 0.6× 24 1.0k
Tanuja T. Merianda United States 16 1.1k 2.0× 753 2.1× 334 0.9× 243 0.8× 122 0.9× 18 1.6k
Melanie Richter Germany 15 484 0.8× 481 1.4× 255 0.7× 185 0.6× 83 0.6× 25 1.0k
Deepika Vuppalanchi United States 12 712 1.2× 473 1.3× 219 0.6× 168 0.5× 62 0.5× 12 1.0k
Jaideep Kesavan Germany 11 906 1.6× 395 1.1× 158 0.4× 199 0.6× 99 0.8× 16 1.1k
Ida Rishal Israel 18 1.0k 1.7× 896 2.5× 238 0.7× 275 0.9× 144 1.1× 26 1.5k
Nathalie Doerflinger France 11 753 1.3× 349 1.0× 127 0.4× 247 0.8× 72 0.6× 13 1.2k

Countries citing papers authored by Sergi Simó

Since Specialization
Citations

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

Fields of papers citing papers by Sergi Simó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergi Simó

This figure shows the co-authorship network connecting the top 25 collaborators of Sergi Simó. A scholar is included among the top collaborators of Sergi Simó 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 Sergi Simó. Sergi Simó 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.
Soto, Daniela C., Gulhan Kaya, Keiko Hino, et al.. (2025). Human-specific gene expansions contribute to brain evolution. Cell. 188(19). 5363–5383.e22. 2 indexed citations
2.
Pergande, Melissa R., et al.. (2023). α-Synuclein-dependent increases in PIP5K1γ drive inositol signaling to promote neurotoxicity. Cell Reports. 42(10). 113244–113244. 2 indexed citations
3.
4.
Murray, Karl D., Keiko Hino, Nicholas C. Vierra, et al.. (2023). NPC1-dependent alterations in KV2.1–CaV1.2 nanodomains drive neuronal death in models of Niemann-Pick Type C disease. Nature Communications. 14(1). 4553–4553. 10 indexed citations
5.
Simó, Sergi, et al.. (2023). Expression patterns of CYP26A1, FGF8, CDKN1A, and NPVF in the developing rhesus monkey retina. Differentiation. 135. 100743–100743. 2 indexed citations
6.
Hino, Keiko, Vicente Herranz‐Pérez, Fausto Ulloa, et al.. (2023). Regulation of young-adult neurogenesis and neuronal differentiation by neural cell adhesion molecule 2 (NCAM2). Cerebral Cortex. 33(21). 10931–10948. 3 indexed citations
7.
Hino, Keiko, et al.. (2022). The E3 Ubiquitin Ligase CRL5 Regulates Dentate Gyrus Morphogenesis, Adult Neurogenesis, and Animal Behavior. Frontiers in Neuroscience. 16. 908719–908719. 5 indexed citations
8.
Lam, Vincent, Keiko Hino, Daniel Ory, et al.. (2021). IP 3 R-driven increases in mitochondrial Ca 2+ promote neuronal death in NPC disease. Proceedings of the National Academy of Sciences. 118(40). 26 indexed citations
9.
Vivas, Oscar, et al.. (2021). NPC1 regulates the distribution of phosphatidylinositol 4‐kinases at Golgi and lysosomal membranes. The EMBO Journal. 40(13). e105990–e105990. 22 indexed citations
10.
Hino, Keiko, et al.. (2021). RapID Cell Counter: Semi-Automated and Mid-Throughput Estimation of Cell Density within Diverse Cortical Layers. eNeuro. 8(6). ENEURO.0185–21.2021. 6 indexed citations
11.
Moshiri, Ala, et al.. (2021). MicroRNA Signatures of the Developing Primate Fovea. Frontiers in Cell and Developmental Biology. 9. 654385–654385. 6 indexed citations
12.
Tan, Ruensern, Tracy Tan, Jisoo S. Han, et al.. (2020). Microtubules Gate Tau Condensation to Spatially Regulate Microtubule Functions. Biophysical Journal. 118(3). 31a–31a. 1 indexed citations
13.
Tan, Ruensern, Tracy Tan, Jisoo S. Han, et al.. (2019). Microtubules gate tau condensation to spatially regulate microtubule functions. Nature Cell Biology. 21(9). 1078–1085. 144 indexed citations
14.
Teckchandani, Anjali, et al.. (2013). Cullin5 destabilizes Cas to inhibit Src-dependent cell transformation. Journal of Cell Science. 127(Pt 3). 509–20. 24 indexed citations
15.
Simó, Sergi, Yves Jossin, & Jonathan A. Cooper. (2010). Cullin 5 Regulates Cortical Layering by Modulating the Speed and Duration of Dab1-Dependent Neuronal Migration. Journal of Neuroscience. 30(16). 5668–5676. 60 indexed citations
16.
Borrell, Vı́ctor, Lluı́s Pujadas, Sergi Simó, et al.. (2007). Reelin and mDab1 regulate the development of hippocampal connections. Molecular and Cellular Neuroscience. 36(2). 158–173. 37 indexed citations
17.
Feng, Libing, et al.. (2007). Cullin 5 regulates Dab1 protein levels and neuron positioning during cortical development. Genes & Development. 21(21). 2717–2730. 113 indexed citations
18.
Burgaya, Ferran, Xavier Fontana, Albert Martı́nez, et al.. (2006). Semaphorin 6C leads to GSK-3-dependent growth cone collapse and redistributes after entorhino-hippocampal axotomy. Molecular and Cellular Neuroscience. 33(3). 321–334. 15 indexed citations
19.
Simó, Sergi, Lluı́s Pujadas, Miguel F. Segura, et al.. (2006). Reelin Induces the Detachment of Postnatal Subventricular Zone Cells and the Expression of the Egr-1 through Erk1/2 Activation. Cerebral Cortex. 17(2). 294–303. 56 indexed citations
20.
Rı́o, José Antonio del, Christian González‐Billault, Jesús M. Ureña, et al.. (2004). MAP1B Is Required for Netrin 1 Signaling in Neuronal Migration and Axonal Guidance. Current Biology. 14(10). 840–850. 100 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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