Sol M. Reyna

1.6k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Sol M. Reyna is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sol M. Reyna has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sol M. Reyna's work include Alzheimer's disease research and treatments (5 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Sol M. Reyna is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Sol M. Reyna collaborates with scholars based in United States, Netherlands and Slovakia. Sol M. Reyna's co-authors include Lawrence S.B. Goldstein, Cheryl Herrera, Christian T. Carson, Mason A. Israel, Shauna H. Yuan, Cédric Bardy, Martin Maršala, Kristopher L. Nazor, Francesca S. Boscolo and Sebastiaan van Gorp and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Sol M. Reyna

8 papers receiving 1.2k citations

Hit Papers

Probing sporadic and familial Alzheimer’s disease using i... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sol M. Reyna United States 7 793 510 344 194 187 8 1.2k
Francesca S. Boscolo United States 7 804 1.0× 402 0.8× 299 0.9× 173 0.9× 174 0.9× 9 1.1k
Cheryl Herrera United States 9 1.1k 1.4× 604 1.2× 418 1.2× 215 1.1× 214 1.1× 10 1.6k
Justin Klee United States 4 608 0.8× 452 0.9× 308 0.9× 316 1.6× 167 0.9× 5 1.1k
Grace Woodruff United States 13 529 0.7× 291 0.6× 391 1.1× 130 0.7× 222 1.2× 15 965
Yuan-Ta Lin United States 7 569 0.7× 314 0.6× 218 0.6× 212 1.1× 191 1.0× 8 965
Heather C. Rice United States 14 484 0.6× 465 0.9× 324 0.9× 61 0.3× 119 0.6× 22 964
Priya Srikanth United States 13 589 0.7× 247 0.5× 218 0.6× 125 0.6× 127 0.7× 16 866
Peter Kirwan United Kingdom 11 1.4k 1.7× 372 0.7× 644 1.9× 317 1.6× 391 2.1× 11 1.9k
Charles Arber United Kingdom 16 642 0.8× 351 0.7× 331 1.0× 89 0.5× 183 1.0× 32 1.1k
Tak Ko United States 9 652 0.8× 242 0.5× 207 0.6× 220 1.1× 189 1.0× 12 1.0k

Countries citing papers authored by Sol M. Reyna

Since Specialization
Citations

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

Fields of papers citing papers by Sol M. Reyna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sol M. Reyna. 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 Sol M. Reyna. The network helps show where Sol M. Reyna may publish in the future.

Co-authorship network of co-authors of Sol M. Reyna

This figure shows the co-authorship network connecting the top 25 collaborators of Sol M. Reyna. A scholar is included among the top collaborators of Sol M. Reyna 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 Sol M. Reyna. Sol M. Reyna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Fong, Lauren, Sol M. Reyna, Vanessa F. Langness, et al.. (2018). Full-length amyloid precursor protein regulates lipoprotein metabolism and amyloid-β clearance in human astrocytes. Journal of Biological Chemistry. 293(29). 11341–11357. 48 indexed citations
2.
D’Antonio, Matteo, Grace Woodruff, Jason L. Nathanson, et al.. (2017). High-Throughput and Cost-Effective Characterization of Induced Pluripotent Stem Cells. Stem Cell Reports. 8(4). 1101–1111. 55 indexed citations
3.
Woodruff, Grace, Sol M. Reyna, Mariah Dunlap, et al.. (2016). Defective Transcytosis of APP and Lipoproteins in Human iPSC-Derived Neurons with Familial Alzheimer’s Disease Mutations. Cell Reports. 17(3). 759–773. 78 indexed citations
4.
Weissmiller, April M., Sol M. Reyna, Matthew L. Pearn, et al.. (2015). A γ-Secretase Inhibitor, but Not a γ-Secretase Modulator, Induced Defects in BDNF Axonal Trafficking and Signaling: Evidence for a Role for APP. PLoS ONE. 10(2). e0118379–e0118379. 28 indexed citations
5.
Chiang, Chia‐Chun, Sol M. Reyna, April M. Weissmiller, et al.. (2015). Rat embryonic hippocampus and induced pluripotent stem cell derived cultured neurons recover from laser-induced subaxotomy. Neurophotonics. 2(1). 15006–15006. 3 indexed citations
6.
Reyna, Sol M., et al.. (2014). Axonal amyloid precursor protein and its fragments undergo somatodendritic endocytosis and processing. Molecular Biology of the Cell. 26(2). 205–217. 39 indexed citations
7.
Goldstein, Lawrence S.B., Sol M. Reyna, & Grace Woodruff. (2014). Probing the Secrets of Alzheimer's Disease Using Human-induced Pluripotent Stem Cell Technology. Neurotherapeutics. 12(1). 121–125. 16 indexed citations
8.
Israel, Mason A., Shauna H. Yuan, Cédric Bardy, et al.. (2012). Probing sporadic and familial Alzheimer’s disease using induced pluripotent stem cells. Nature. 482(7384). 216–220. 911 indexed citations breakdown →

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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