Sarah S. Subaran

918 total citations
12 papers, 746 citations indexed

About

Sarah S. Subaran is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Sarah S. Subaran has authored 12 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Cancer Research. Recurrent topics in Sarah S. Subaran's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (2 papers) and Carbon Nanotubes in Composites (2 papers). Sarah S. Subaran is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (2 papers) and Carbon Nanotubes in Composites (2 papers). Sarah S. Subaran collaborates with scholars based in United States, South Korea and United Kingdom. Sarah S. Subaran's co-authors include Myriam Gorospe, Eun Kyung Lee, Subramanya Srikantan, Kotb Abdelmohsen, Jennifer L. Martindale, Yuki Kuwano, Kumiko Tominaga, Xiaoling Yang, Mark P. Mattson and Fred E. Indig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and PLoS ONE.

In The Last Decade

Sarah S. Subaran

11 papers receiving 739 citations

Peers

Sarah S. Subaran
Marisa Zallocchi United States
Peter A. Campochiaro United States
Magali Fernandez United States
Sarah S. Subaran
Citations per year, relative to Sarah S. Subaran Sarah S. Subaran (= 1×) peers Yeming Yang

Countries citing papers authored by Sarah S. Subaran

Since Specialization
Citations

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

Fields of papers citing papers by Sarah S. Subaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah S. Subaran

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah S. Subaran. A scholar is included among the top collaborators of Sarah S. Subaran 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 Sarah S. Subaran. Sarah S. Subaran 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
1.
Forney, Michael W., et al.. (2014). Aggregation kinetics of single-walled carbon nanotubes investigated using mechanically wrapped multinuclear complexes: probing the tube–tube repulsive barrier. Physical Chemistry Chemical Physics. 16(12). 5855–5865. 12 indexed citations
2.
Lee, Eun Kyung, Wook Kim, Kumiko Tominaga, et al.. (2012). RNA-Binding Protein HuD Controls Insulin Translation. Molecular Cell. 45(6). 826–835. 84 indexed citations
3.
Wei, Wen Bin, Leonie Lampe, Sungha Park, et al.. (2012). Disulfide Bonds within the C2 Domain of RAGE Play Key Roles in Its Dimerization and Biogenesis. PLoS ONE. 7(12). e50736–e50736. 35 indexed citations
4.
Imam, J. Saadi, Kalyan Buddavarapu, Sarah S. Subaran, et al.. (2012). Interaction between microRNAs and actin-associated protein Arpc5 regulates translational suppression during male germ cell differentiation. Proceedings of the National Academy of Sciences. 109(15). 5750–5755. 31 indexed citations
5.
Tominaga, Kumiko, Subramanya Srikantan, Eun Kyung Lee, et al.. (2011). Competitive Regulation of Nucleolin Expression by HuR and miR-494. Molecular and Cellular Biology. 31(20). 4219–4231. 91 indexed citations
6.
Srikantan, Subramanya, Kotb Abdelmohsen, Eun Kyung Lee, et al.. (2011). Translational Control of TOP2A Influences Doxorubicin Efficacy. Molecular and Cellular Biology. 31(18). 3790–3801. 81 indexed citations
7.
Lee, Eun Kyung, Hyeon Ho Kim, Yuki Kuwano, et al.. (2010). hnRNP C promotes APP translation by competing with FMRP for APP mRNA recruitment to P bodies. Nature Structural & Molecular Biology. 17(6). 732–739. 136 indexed citations
8.
Camilli, Tura C., Mai Xu, Michael P. O’Connell, et al.. (2010). Loss of Klotho during melanoma progression leads to increased filamin cleavage, increased Wnt5A expression, and enhanced melanoma cell motility. Pigment Cell & Melanoma Research. 24(1). 175–186. 63 indexed citations
9.
Abdelmohsen, Kotb, Emmette R. Hutchison, Eun Kyung Lee, et al.. (2010). miR-375 Inhibits Differentiation of Neurites by Lowering HuD Levels. Molecular and Cellular Biology. 30(17). 4197–4210. 109 indexed citations
10.
Sykes, E. Charles H., et al.. (2009). Cost Effective Nanostructured Materials for the Undergraduate Lab: Nanotextured Aluminum Surfaces. 1(1). 42–47. 1 indexed citations
11.
MacDonnell, Frederick M., et al.. (2009). “Mechanically Docked” Metallodendrimers about Single-Walled Carbon Nanotubes. The Journal of Physical Chemistry C. 113(26). 11254–11261. 14 indexed citations
12.
French, Amanda D., Jennifer L. Fiori, Tura C. Camilli, et al.. (2009). PKC and PKA Phosphorylation Affect the Subcellular Localization of Claudin-1 in Melanoma Cells. International Journal of Medical Sciences. 93–101. 89 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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