Sheila S. Teves

2.3k citations
20 papers · 1.6k indexed · 1 hit paper · h-index 12
Topics
Genomics and Chromatin Dynamics (17 papers)RNA Research and Splicing (12 papers)RNA modifications and cancer (5 papers)

In The Last Decade

Sheila S. Teves

20 papers receiving 1.6k citations

Hit Papers

Doxorubicin, DNA torsion, and chromatin dynamics20132026201720212013100200300400500

Peers

Sheila S. Teves
Comparison fields: 5 of 99
  • Molecular Biology 1.3k
  • Oncology 180
  • Plant Science 155
  • Biomedical Engineering 123
  • Genetics 103
Replace Sui Huang with:
Sui Huang United States
Chris Molenaar Netherlands
Brian G. Reid United States
Katarzyna M. Kedziora United States
Colin Hockings Australia
Michael U. Musheev Canada
Bo Sun China
Duy Nguyen United States
Hongtao Chen China
Lenka Kundrat United States
Sheila S. Teves relative to Sui Huang United States Sui Huang's profile →
Citations per field
00.5×2.9×
Sui Huang · 1×
Citations per year

Countries citing papers authored by Sheila S. Teves

Since Specialization
Citations

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

Fields of papers citing papers by Sheila S. Teves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheila S. Teves. 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 Sheila S. Teves. The network helps show where Sheila S. Teves may publish in the future.

Co-authorship network of co-authors of Sheila S. Teves

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 4
4 2
5 7
6 7
7 13
8 5
9 204
10 80
11 197
12 44
13 125
14 149
15 14
16
Doxorubicin, DNA torsion, and chromatin dynamicsbreakdown →
537
17 10
18 24
19 76
20 103

About Sheila S. Teves

Sheila S. Teves is a scholar working on Molecular Biology, Biophysics and Cell Biology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Biophysics (83 citations) and Structural Biology (13 citations). Sheila S. Teves has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Steven Henikoff, Fan Yang, Christopher J. Kemp, Xavier Darzacq, Robert Tjian, Anders S. Hansen, Liangqi Xie, Luye An, Christopher M. Weber and Alec Heckert. Their work appears in journals such as Nucleic Acids Research, Genes & Development and Trends in Biochemical Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026