Alicia E. Smith

2.3k total citations · 1 hit paper
10 papers, 1.9k citations indexed

About

Alicia E. Smith is a scholar working on Molecular Biology, Ecology and Oncology. According to data from OpenAlex, Alicia E. Smith has authored 10 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Oncology. Recurrent topics in Alicia E. Smith's work include Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Alicia E. Smith is often cited by papers focused on Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Alicia E. Smith collaborates with scholars based in Switzerland, United States and Germany. Alicia E. Smith's co-authors include Ari Helenius, Ian G. Macara, Helge Ewers, Amy M. Brownawell, Hauke Lilie, Petros Koumoutsakos, Ivo F. Sbalzarini, Leslie M. Loew, Ten Feizi and Wengang Chai and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Alicia E. Smith

10 papers receiving 1.8k citations

Hit Papers

How Viruses Enter Animal Cells 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
Alicia E. Smith Switzerland 9 1.2k 278 267 235 209 10 1.9k
James Pulokas United States 15 1.5k 1.2× 215 0.8× 219 0.8× 244 1.0× 235 1.1× 16 2.6k
D. Fellmann United States 10 1.2k 1.0× 186 0.7× 182 0.7× 211 0.9× 205 1.0× 20 2.2k
Alexander M. Makhov United States 34 1.5k 1.2× 340 1.2× 462 1.7× 343 1.5× 592 2.8× 75 2.9k
Christian Suloway United States 11 1.1k 0.9× 279 1.0× 249 0.9× 141 0.6× 139 0.7× 16 1.8k
Marek Cyrklaff Germany 32 1.7k 1.4× 405 1.5× 456 1.7× 324 1.4× 363 1.7× 67 3.2k
Liwei Peng China 11 1.5k 1.2× 235 0.8× 295 1.1× 230 1.0× 220 1.1× 43 2.6k
Ambroise Desfosses France 22 810 0.7× 233 0.8× 158 0.6× 167 0.7× 294 1.4× 34 1.4k
J Kartenbeck Germany 12 1.0k 0.8× 471 1.7× 367 1.4× 357 1.5× 445 2.1× 12 2.0k
Christoph J. Burckhardt Switzerland 17 819 0.7× 473 1.7× 546 2.0× 209 0.9× 215 1.0× 21 1.7k
Jean‐Marie Bourhis France 23 945 0.8× 165 0.6× 304 1.1× 336 1.4× 708 3.4× 38 2.0k

Countries citing papers authored by Alicia E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Alicia E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alicia E. Smith. 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 Alicia E. Smith. The network helps show where Alicia E. Smith may publish in the future.

Co-authorship network of co-authors of Alicia E. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Alicia E. Smith. A scholar is included among the top collaborators of Alicia E. Smith 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 Alicia E. Smith. Alicia E. Smith 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.
Ewers, Helge, Winfried Römer, Alicia E. Smith, et al.. (2009). GM1 structure determines SV40-induced membrane invagination and infection. Nature Cell Biology. 12(1). 11–18. 346 indexed citations
2.
Ewers, Helge, et al.. (2007). Label-Free Optical Detection and Tracking of Single Virions Bound to Their Receptors in Supported Membrane Bilayers. Nano Letters. 7(8). 2263–2266. 60 indexed citations
3.
Campanero‐Rhodes, María Asunción, Alicia E. Smith, Wengang Chai, et al.. (2007). N -Glycolyl GM1 Ganglioside as a Receptor for Simian Virus 40. Journal of Virology. 81(23). 12846–12858. 133 indexed citations
4.
Ewers, Helge, Alicia E. Smith, Ivo F. Sbalzarini, et al.. (2005). Single-particle tracking of murine polyoma virus-like particles on live cells and artificial membranes. Proceedings of the National Academy of Sciences. 102(42). 15110–15115. 219 indexed citations
5.
Smith, Alicia E. & Ari Helenius. (2004). How Viruses Enter Animal Cells. Science. 304(5668). 237–242. 602 indexed citations breakdown →
6.
Smith, Alicia E., Hauke Lilie, & Ari Helenius. (2003). Ganglioside‐dependent cell attachment and endocytosis of murine polyomavirus‐like particles. FEBS Letters. 555(2). 199–203. 67 indexed citations
7.
Lindsay, Mark E., Kendra S. Plafker, Alicia E. Smith, Bruce E. Clurman, & Ian G. Macara. (2002). Npap60/Nup50 Is a Tri-Stable Switch that Stimulates Importin-α:β-Mediated Nuclear Protein Import. Cell. 110(3). 349–360. 98 indexed citations
8.
Smith, Alicia E., Boris M. Slepchenko, James C. Schaff, Leslie M. Loew, & Ian G. Macara. (2002). Systems Analysis of Ran Transport. Science. 295(5554). 488–491. 158 indexed citations
9.
Macara, Ian G. & Alicia E. Smith. (2000). Ran. Current Biology. 10(15). R541–R541. 2 indexed citations
10.
Smith, Alicia E., Amy M. Brownawell, & Ian G. Macara. (1998). Nuclear import of Ran is mediated by the transport factor NTF2. Current Biology. 8(25). 1403–S1. 182 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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