Amanda Su

12 papers receiving 924 citations

Hit Papers

Sequence, Structure, and Context Preferences of Human RNA Binding Proteins 2018 · 343 citations
3432018202620202023100200300

Peers

Amanda Su
Comparison fields: 5 of 88
  • Cancer Research 171
  • Aging 18
  • Radiological and Ultrasound Technology 50
  • Molecular Biology 615
  • Orthopedics and Sports Medicine 72
Replace Katsumi Uoshima with:
Katsumi Uoshima Japan
Jason P. Mansell United Kingdom
Jefferson O. Abaricia United States
Daniel W. Youngstrom United States
Margaret A. McNulty United States
Leona Barclay Canada
Meng Yin China
Kyung Soon Park South Korea
Junichiro Iida Japan
Ping Long United States
Amanda Su relative to Katsumi Uoshima Japan Katsumi Uoshima's profile →
Citations per field
00.5×4.9×
Katsumi Uoshima · 1×
Citations per year

Countries citing papers authored by Amanda Su

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amanda Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amanda Su Line = papers co-authored together Amanda Su links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Sequence, Structure, and Context Preferences of Human RNA Binding Proteins
Hit paper breakdown →
2018343
2 2012217
3 2022122
4 2019116
5 201534
6 201834
7 201824
8 201324
9 202023
10 20232
11 20241
12 20211

About Amanda Su

Amanda Su is a scholar working on Aging, Radiological and Ultrasound Technology, Cell Biology, Biomaterials and Neurology, having authored 12 papers that have together received 941 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Palliative Care and End-of-Life Issues (3 papers), Family and Patient Care in Intensive Care Units (2 papers), Fungal and yeast genetics research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Cancer Research (171 citations), Aging (18 citations), Radiological and Ultrasound Technology (50 citations), Molecular Biology (615 citations) and Orthopedics and Sports Medicine (72 citations). Amanda Su has collaborated with scholars based in United States and Singapore. Frequent co-authors include G Yeo, Siddarth D. Subramony, Cassandra Schaening-Burgos, Nicole M. Martínez, Wendy V. Gilbert, Evren U. Azeloglu, Helen H. Lu, Daniel Domínguez, Cassandra Bazile and Nicole Lambert. Their work appears in journals such as eLife, Molecular Cell, Biomaterials, Annals of the American Thoracic Society and Journal of Biomechanics.

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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