Samuel Sparks

668 total citations
11 papers, 424 citations indexed

About

Samuel Sparks is a scholar working on Molecular Biology, Biomaterials and Physiology. According to data from OpenAlex, Samuel Sparks has authored 11 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Biomaterials and 2 papers in Physiology. Recurrent topics in Samuel Sparks's work include RNA Research and Splicing (6 papers), Nuclear Structure and Function (6 papers) and Supramolecular Self-Assembly in Materials (3 papers). Samuel Sparks is often cited by papers focused on RNA Research and Splicing (6 papers), Nuclear Structure and Function (6 papers) and Supramolecular Self-Assembly in Materials (3 papers). Samuel Sparks collaborates with scholars based in United States, Switzerland and Israel. Samuel Sparks's co-authors include David Cowburn, Michael P. Rout, Kaushik Dutta, Gai Liu, Noel D. Lazo, Kevin J. Robbins, Deniz B. Temel, Jaclyn Tetenbaum-Novatt, Loren E. Hough and Andrej Săli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Samuel Sparks

10 papers receiving 421 citations

Peers

Samuel Sparks

MB

PHYSI

MC

CB

BIOMA

Janine Seeliger Germany

Ioana M. Ilie Netherlands

Gergely Tóth United Kingdom

Maria J. Sarmento Portugal

Fabrizio Chiti Italy

Kevin J. Robbins United States

Joseph D. Barritt United Kingdom

Zenghui Lao China

Mathias M. J. Bellaiche United Kingdom

Lorena Varela Spain

Janine Seeliger Germany

Samuel Sparks

261 ×0.7

MB

178 ×1.8

PHYSI

40 ×1.0

MC

66 ×1.7

CB

49 ×1.4

BIOMA

Citations per year, relative to Samuel Sparks Samuel Sparks (= 1×) peers Janine Seeliger

Countries citing papers authored by Samuel Sparks

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Sparks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Sparks

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

All Works

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11 of 11 papers shown

1.

Raveh, Barak, Daniel Russel, Ryo Hayama, et al.. (2025). Integrative mapping reveals molecular features underlying the mechanism of nucleocytoplasmic transport. Proceedings of the National Academy of Sciences. 122(42). e2507559122–e2507559122.

2.

Sparks, Samuel, Ryo Hayama, Michael P. Rout, & David Cowburn. (2020). Analysis of Multivalent IDP Interactions: Stoichiometry, Affinity, and Local Concentration Effect Measurements. Methods in molecular biology. 2141. 463–475. 2 indexed citations

3.

Hayama, Ryo, et al.. (2018). Thermodynamic characterization of the multivalent interactions underlying rapid and selective translocation through the nuclear pore complex. Journal of Biological Chemistry. 293(12). 4555–4563. 42 indexed citations

4.

Sparks, Samuel, Deniz B. Temel, Michael P. Rout, & David Cowburn. (2018). Deciphering the “Fuzzy” Interaction of FG Nucleoporins and Transport Factors Using Small-Angle Neutron Scattering. Structure. 26(3). 477–484.e4. 16 indexed citations

5.

Sparks, Samuel, et al.. (2017). Effects of FGFR2 kinase activation loop dynamics on catalytic activity. PLoS Computational Biology. 13(2). e1005360–e1005360. 10 indexed citations

6.

Raveh, Barak, Samuel Sparks, Kaushik Dutta, et al.. (2016). Slide-and-exchange mechanism for rapid and selective transport through the nuclear pore complex. Proceedings of the National Academy of Sciences. 113(18). E2489–97. 74 indexed citations

7.

Hough, Loren E., Kaushik Dutta, Samuel Sparks, et al.. (2015). The molecular mechanism of nuclear transport revealed by atomic-scale measurements. eLife. 4. 120 indexed citations

8.

Wilner, Samantha E., Samuel Sparks, David Cowburn, Mark E. Girvin, & Matthew Levy. (2015). Controlling Lipid Micelle Stability Using Oligonucleotide Headgroups. Journal of the American Chemical Society. 137(6). 2171–2174. 24 indexed citations

9.

Sparks, Samuel, Gai Liu, Kevin J. Robbins, & Noel D. Lazo. (2012). Curcumin modulates the self-assembly of the islet amyloid polypeptide by disassembling α-helix. Biochemical and Biophysical Research Communications. 422(4). 551–555. 55 indexed citations

10.

Liu, Gai, et al.. (2012). Helix-Dipole Effects in Peptide Self-Assembly to Amyloid. Biochemistry. 51(20). 4167–4174. 5 indexed citations

11.

Liu, Gai, A. Prabhakar, Darryl Aucoin, et al.. (2010). Mechanistic Studies of Peptide Self-Assembly: Transient α-Helices to Stable β-Sheets. Journal of the American Chemical Society. 132(51). 18223–18232. 76 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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