Bryan Sands

1.2k total citations · 1 hit paper
10 papers, 878 citations indexed

About

Bryan Sands is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bryan Sands has authored 10 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Aging and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Bryan Sands's work include Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (3 papers) and RNA Research and Splicing (2 papers). Bryan Sands is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (3 papers) and RNA Research and Splicing (2 papers). Bryan Sands collaborates with scholars based in United States, Canada and China. Bryan Sands's co-authors include R. Blake Pepinsky, Melissa Levesque, Norm Allaire, Greg Thill, Thomas Crowell, John McCoy, Sha Mi, Richard L. Cate, Benxiu Ji and Steve Perrin and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Bryan Sands

10 papers receiving 870 citations

Hit Papers

LINGO-1 is a component of the Nogo-66 receptor/p75 signal... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan Sands United States 9 473 393 349 112 72 10 878
Andrea Ketschek United States 15 521 1.1× 497 1.3× 213 0.6× 35 0.3× 39 0.5× 22 1.0k
Stefanie Albrecht Germany 17 149 0.3× 404 1.0× 125 0.4× 79 0.7× 95 1.3× 35 741
Marco Onorati Italy 14 294 0.6× 525 1.3× 190 0.5× 45 0.4× 47 0.7× 29 728
Jeannette Nardelli France 18 179 0.4× 931 2.4× 241 0.7× 31 0.3× 112 1.6× 31 1.4k
Aboozar Monavarfeshani United States 13 326 0.7× 368 0.9× 120 0.3× 154 1.4× 167 2.3× 21 836
Dmitry Poteryaev Russia 14 424 0.9× 915 2.3× 195 0.6× 23 0.2× 25 0.3× 30 1.7k
Moncef Jendoubi United States 8 291 0.6× 594 1.5× 485 1.4× 40 0.4× 60 0.8× 12 1.0k
Katherine Zukor United States 10 399 0.8× 282 0.7× 249 0.7× 133 1.2× 67 0.9× 11 711
Ole Wiskow United States 7 265 0.6× 638 1.6× 129 0.4× 16 0.1× 61 0.8× 9 1.1k
Daniel Fuentes United States 7 381 0.8× 1.6k 4.1× 355 1.0× 13 0.1× 37 0.5× 7 1.8k

Countries citing papers authored by Bryan Sands

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Sands

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Sands

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

All Works

10 of 10 papers shown
1.
Sands, Bryan, et al.. (2021). Introns control stochastic allele expression bias. Nature Communications. 12(1). 5 indexed citations
2.
Burnaevskiy, Nikolay, Bryan Sands, Patricia M. Tedesco, et al.. (2019). Chaperone biomarkers of lifespan and penetrance track the dosages of many other proteins. Nature Communications. 10(1). 5725–5725. 21 indexed citations
3.
Crane, Matthew M., et al.. (2019). In vivo measurements reveal a single 5′-intron is sufficient to increase protein expression level in Caenorhabditis elegans. Scientific Reports. 9(1). 9192–9192. 26 indexed citations
4.
Sands, Bryan, et al.. (2018). A toolkit for DNA assembly, genome engineering and multicolor imaging for C. elegans. SHILAP Revista de lepidopterología. 2. 1–10. 12 indexed citations
5.
Sands, Bryan & Roger Brent. (2016). Overview of Post Cohen‐Boyer Methods for Single Segment Cloning and for Multisegment DNA Assembly. Current Protocols in Molecular Biology. 113(1). 3.26.1–3.26.20. 13 indexed citations
6.
Cao, Ruofan, Patrick Jenkins, W. J. Peria, et al.. (2016). Phasor plotting with frequency-domain flow cytometry. Optics Express. 24(13). 14596–14596. 12 indexed citations
7.
Mendenhall, Alexander, Patricia M. Tedesco, Bryan Sands, Thomas E. Johnson, & Roger Brent. (2015). Single Cell Quantification of Reporter Gene Expression in Live Adult Caenorhabditis elegans Reveals Reproducible Cell-Specific Expression Patterns and Underlying Biological Variation. PLoS ONE. 10(5). e0124289–e0124289. 18 indexed citations
8.
Sands, Bryan, Patrick Jenkins, W. J. Peria, et al.. (2014). Measuring and Sorting Cell Populations Expressing Isospectral Fluorescent Proteins with Different Fluorescence Lifetimes. PLoS ONE. 9(10). e109940–e109940. 16 indexed citations
9.
Feagin, Jean E., Maria I. Harrell, Jungchul Lee, et al.. (2012). The Fragmented Mitochondrial Ribosomal RNAs of Plasmodium falciparum. PLoS ONE. 7(6). e38320–e38320. 95 indexed citations
10.
Mi, Sha, Xinhua Lee, Zhaohui Shao, et al.. (2004). LINGO-1 is a component of the Nogo-66 receptor/p75 signaling complex. Nature Neuroscience. 7(3). 221–228. 660 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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