David J. Solecki

2.3k total citations
40 papers, 1.4k citations indexed

About

David J. Solecki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, David J. Solecki has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Cell Biology. Recurrent topics in David J. Solecki's work include Axon Guidance and Neuronal Signaling (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Microtubule and mitosis dynamics (9 papers). David J. Solecki is often cited by papers focused on Axon Guidance and Neuronal Signaling (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Microtubule and mitosis dynamics (9 papers). David J. Solecki collaborates with scholars based in United States, United Kingdom and Germany. David J. Solecki's co-authors include Mary E. Hatten, Niraj Trivedi, Eve‐Ellen Govek, Tarun M. Kapoor, Lynn Model, Jedidiah Gaetz, Günter Bernhardt, Eckard Wimmer, Matthias Gromeier and Shaun S. Gleason and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

David J. Solecki

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Solecki United States 19 839 452 350 331 232 40 1.4k
Akihiro Isomura Japan 17 1.0k 1.2× 203 0.4× 230 0.7× 171 0.5× 136 0.6× 33 1.6k
Benjamin K. August United States 19 717 0.9× 164 0.4× 153 0.4× 194 0.6× 138 0.6× 40 1.5k
Yuri Oleynikov United States 8 1.6k 1.9× 419 0.9× 345 1.0× 117 0.4× 184 0.8× 8 2.1k
Isabelle Bar Belgium 19 957 1.1× 200 0.4× 508 1.5× 482 1.5× 432 1.9× 37 1.7k
E A Prediger United States 10 992 1.2× 290 0.6× 332 0.9× 167 0.5× 136 0.6× 12 1.6k
Jakob S. Satz United States 15 1.8k 2.1× 471 1.0× 505 1.4× 123 0.4× 252 1.1× 16 2.2k
Roland Tacke United States 14 1.9k 2.2× 198 0.4× 300 0.9× 166 0.5× 123 0.5× 15 2.3k
Takao Honda Japan 15 510 0.6× 117 0.3× 308 0.9× 312 0.9× 372 1.6× 24 1.1k
Melissa Hardy United States 5 956 1.1× 653 1.4× 267 0.8× 149 0.5× 189 0.8× 5 1.5k
Marie-Josée Santoni France 23 1.3k 1.6× 663 1.5× 270 0.8× 133 0.4× 123 0.5× 30 1.8k

Countries citing papers authored by David J. Solecki

Since Specialization
Citations

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

Fields of papers citing papers by David J. Solecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Solecki. 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 David J. Solecki. The network helps show where David J. Solecki may publish in the future.

Co-authorship network of co-authors of David J. Solecki

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Solecki. A scholar is included among the top collaborators of David J. Solecki 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 David J. Solecki. David J. Solecki 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.
Stabley, Daniel R., et al.. (2025). Siah2 antagonism of Pard3/JamC modulates Ntn1-Dcc signaling to regulate cerebellar granule neuron germinal zone exit. Nature Communications. 16(1). 355–355. 1 indexed citations
2.
Ziabari, Amirkoushyar, Derek Rose, Abbas Shirinifard, & David J. Solecki. (2024). YOLO2U-Net: Detection-guided 3D instance segmentation for microscopy. Pattern Recognition Letters. 181. 37–42. 3 indexed citations
3.
Solecki, David J.. (2022). Neuronal Polarity Pathways as Central Integrators of Cell-Extrinsic Information During Interactions of Neural Progenitors With Germinal Niches. Frontiers in Molecular Neuroscience. 15. 829666–829666. 1 indexed citations
4.
Trivedi, Niraj, Vien Nguyen, Daniel R. Stabley, et al.. (2020). Oxygen Tension and the VHL-Hif1α Pathway Determine Onset of Neuronal Polarization and Cerebellar Germinal Zone Exit. Neuron. 106(4). 607–623.e5. 29 indexed citations
5.
Solecki, David J., et al.. (2018). Regulation of Polarity Protein Levels in the Developing Central Nervous System. Journal of Molecular Biology. 430(19). 3472–3480. 8 indexed citations
6.
Trivedi, Niraj, Daniel R. Stabley, Joseph S. Ramahi, et al.. (2017). Drebrin-mediated microtubule–actomyosin coupling steers cerebellar granule neuron nucleokinesis and migration pathway selection. Nature Communications. 8(1). 14484–14484. 37 indexed citations
7.
Solecki, David J., et al.. (2017). Seven in Absentia E3 Ubiquitin Ligases: Central Regulators of Neural Cell Fate and Neuronal Polarity. Frontiers in Cellular Neuroscience. 11. 322–322. 7 indexed citations
8.
Campos, Yvan, Xiaohui Qiu, Elida Gomero, et al.. (2016). Alix-mediated assembly of the actomyosin–tight junction polarity complex preserves epithelial polarity and epithelial barrier. Nature Communications. 7(1). 11876–11876. 36 indexed citations
9.
10.
Ramahi, Joseph S. & David J. Solecki. (2013). The PAR Polarity Complex and Cerebellar Granule Neuron Migration. Advances in experimental medicine and biology. 800. 113–131. 5 indexed citations
11.
Solecki, David J.. (2012). Sticky situations: recent advances in control of cell adhesion during neuronal migration. Current Opinion in Neurobiology. 22(5). 791–798. 57 indexed citations
12.
Trivedi, Niraj & David J. Solecki. (2011). Neuronal migration illuminated. Cell Adhesion & Migration. 5(1). 42–47. 15 indexed citations
13.
Famulski, Jakub K., Niraj Trivedi, Yuan Yang, et al.. (2010). Siah Regulation of Pard3A Controls Neuronal Cell Adhesion During Germinal Zone Exit. Science. 330(6012). 1834–1838. 74 indexed citations
14.
Barnes, Anthony P., David J. Solecki, & Franck Polleux. (2008). New insights into the molecular mechanisms specifying neuronal polarity in vivo. Current Opinion in Neurobiology. 18(1). 44–52. 60 indexed citations
15.
Uziel, Tamar, Frédérique Zindy, Suqing Xie, et al.. (2005). The tumor suppressorsInk4candp53collaborate independently withPatchedto suppress medulloblastoma formation. Genes & Development. 19(22). 2656–2667. 124 indexed citations
16.
Solecki, David J., Lynn Model, Jedidiah Gaetz, Tarun M. Kapoor, & Mary E. Hatten. (2004). Par6α signaling controls glial-guided neuronal migration. Nature Neuroscience. 7(11). 1195–1203. 226 indexed citations
17.
Solecki, David J., Matthias Gromeier, Steffen Mueller, Günter Bernhardt, & Eckard Wimmer. (2002). Expression of the Human Poliovirus Receptor/CD155 Gene Is Activated by Sonic Hedgehog. Journal of Biological Chemistry. 277(28). 25697–25702. 66 indexed citations
18.
19.
Solecki, David J., Günter Bernhardt, Martin Lipp, & Eckard Wimmer. (2000). Identification of a Nuclear Respiratory Factor-1 Binding Site within the Core Promoter of the human polio virus receptor/CD155 Gene. Journal of Biological Chemistry. 275(17). 12453–12462. 33 indexed citations
20.
Solecki, David J., et al.. (1998). Poliovirus and its cellular receptor: a molecular genetic dissection of a virus/receptor affinity interaction. Journal of Molecular Recognition. 11(1-6). 2–9. 10 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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