Shawn W. Foley

1.4k citations
12 papers · 648 indexed · h-index 10
Topics
RNA Research and Splicing (9 papers)RNA modifications and cancer (8 papers)RNA and protein synthesis mechanisms (7 papers)
Partner nations
United StatesGermany

In The Last Decade

Shawn W. Foley

12 papers receiving 645 citations

Peers

Shawn W. Foley
Comparison fields: 5 of 64
  • Molecular Biology 586
  • Plant Science 93
  • Cancer Research 93
  • Genetics 48
  • Biophysics 40
Replace Michael Lidschreiber with:
Michael Lidschreiber Germany
Masayoshi Honda United States
Anthony L. Forget United States
Liang-Zhong Yang China
Adam T. Watson United Kingdom
Fabien Moretto United Kingdom
Yinxiu Zhan Switzerland
James M. Halstead Australia
M. Behfar Ardehali United States
Ameya P. Jalihal United States
Shawn W. Foley relative to Michael Lidschreiber Germany Michael Lidschreiber's profile →
Citations per field
00.5×1.5×
Michael Lidschreiber · 1×
Citations per year

Countries citing papers authored by Shawn W. Foley

Since Specialization
Citations

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

Fields of papers citing papers by Shawn W. Foley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn W. Foley. 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 Shawn W. Foley. The network helps show where Shawn W. Foley may publish in the future.

Co-authorship network of co-authors of Shawn W. Foley

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 14
2 23
3 15
4 43
5 6
6 64
7 14
8 13
9 307
10
Global Analysis of the RNA-Protein Interaction and RNA Secondary Structure Landscapes of the
1
11 87
12 61

About Shawn W. Foley

Shawn W. Foley is a scholar working on Endocrinology, Molecular Biology and Cancer Research, having authored 12 papers that have together received 648 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA modifications and cancer (8 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Molecular Biology (586 citations), Biophysics (40 citations) and Cancer Research (93 citations). Shawn W. Foley has collaborated with scholars based in United States and Germany. Frequent co-authors include Brian D. Gregory, Olivia Padovan‐Merhar, L. Stirling Churchman, Gautham Nair, Andreas Mayer, Arjun Raj, Abhyudai Singh, Angela Ruohao Wu, Lee E. Vandivier and Stephen J. Anderson. Their work appears in journals such as Genes & Development, Molecular Cell and Developmental Cell.

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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