Sorah Yoon

1.2k total citations
31 papers, 993 citations indexed

About

Sorah Yoon is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sorah Yoon has authored 31 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Immunology. Recurrent topics in Sorah Yoon's work include Advanced biosensing and bioanalysis techniques (10 papers), RNA Interference and Gene Delivery (8 papers) and Animal Virus Infections Studies (3 papers). Sorah Yoon is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), RNA Interference and Gene Delivery (8 papers) and Animal Virus Infections Studies (3 papers). Sorah Yoon collaborates with scholars based in United States, South Korea and United Kingdom. Sorah Yoon's co-authors include John J. Rossi, Suk Ho Chung, Nagy Habib, Brian Armstrong, Kai‐Wen Huang, Piotr Swiderski, Vikash Reebye, Jae‐Young Song, Lian Ni Lee and Xiwei Wu and has published in prestigious journals such as Advanced Drug Delivery Reviews, Journal of Virology and American Journal Of Pathology.

In The Last Decade

Sorah Yoon

31 papers receiving 972 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sorah Yoon United States 18 461 265 203 139 97 31 993
Jason C. Pickens United States 12 240 0.5× 158 0.6× 107 0.5× 55 0.4× 71 0.7× 15 608
Cedric A. J. Hutter Switzerland 19 455 1.0× 4 0.0× 216 1.1× 244 1.8× 21 0.2× 28 1.1k
Laure Petit France 12 178 0.4× 11 0.0× 11 0.1× 53 0.4× 2 0.0× 16 717
Jane Werling United States 10 212 0.5× 8 0.0× 35 0.2× 308 2.2× 12 848
James D. Andya United States 12 1.3k 2.8× 22 0.1× 44 0.2× 228 1.6× 15 1.6k
Yi-Ting Cheng United States 16 590 1.3× 2 0.0× 21 0.1× 44 0.3× 6 0.1× 29 1.1k
Toshio Higuchi Japan 12 336 0.7× 8 0.0× 25 0.1× 14 0.1× 24 1.2k
Ehab M. Moussa United States 16 491 1.1× 4 0.0× 12 0.1× 101 0.7× 4 0.0× 31 850
Stefano Elli Italy 14 256 0.6× 30 0.1× 3 0.0× 46 0.3× 39 683
Julia Christina Kasper Germany 11 737 1.6× 3 0.0× 19 0.1× 141 1.0× 2 0.0× 14 1.0k

Countries citing papers authored by Sorah Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sorah Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sorah Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sorah Yoon. A scholar is included among the top collaborators of Sorah Yoon 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 Sorah Yoon. Sorah Yoon 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
1.
Andrikakou, Pinelopi, Vikash Reebye, Daniel Vasconcelos, et al.. (2022). Enhancing SIRT1 Gene Expression Using Small Activating RNAs: A Novel Approach for Reversing Metabolic Syndrome. Nucleic Acid Therapeutics. 32(6). 486–496. 11 indexed citations
2.
Yoon, Sorah, et al.. (2020). Uncovering Differently Expressed Markers and Heterogeneity on Human Pancreatic Cancer. Translational Oncology. 13(3). 100749–100749. 13 indexed citations
3.
Yoon, Sorah, Kai‐Wen Huang, Pinelopi Andrikakou, et al.. (2019). Targeted Delivery of C/EBPα-saRNA by RNA Aptamers Shows Anti-tumor Effects in a Mouse Model of Advanced PDAC. Molecular Therapy — Nucleic Acids. 18. 142–154. 28 indexed citations
4.
Yoon, Sorah, Xiwei Wu, Brian Armstrong, Nagy Habib, & John J. Rossi. (2018). An RNA Aptamer Targeting the Receptor Tyrosine Kinase PDGFRα Induces Anti-tumor Effects through STAT3 and p53 in Glioblastoma. Molecular Therapy — Nucleic Acids. 14. 131–141. 46 indexed citations
5.
Yoon, Sorah & John J. Rossi. (2018). Therapeutic Potential of Small Activating RNAs (saRNAs) in Human Cancers. Current Pharmaceutical Biotechnology. 19(8). 604–610. 24 indexed citations
6.
Yoon, Sorah & John J. Rossi. (2018). Targeted Molecular Imaging Using Aptamers in Cancer. Pharmaceuticals. 11(3). 71–71. 31 indexed citations
7.
Yoon, Sorah & John J. Rossi. (2018). Aptamers: Uptake mechanisms and intracellular applications. Advanced Drug Delivery Reviews. 134. 22–35. 136 indexed citations
8.
Yoon, Sorah & John J. Rossi. (2017). Treatment of Pancreatic Cancer by Aptamer Conjugated C/EBPα-saRNA. Advances in experimental medicine and biology. 983. 173–188. 8 indexed citations
9.
Yoon, Sorah, Kai‐Wen Huang, Vikash Reebye, et al.. (2016). Targeted Delivery of C/EBPα -saRNA by Pancreatic Ductal Adenocarcinoma-specific RNA Aptamers Inhibits Tumor Growth In Vivo. Molecular Therapy. 24(6). 1106–1116. 61 indexed citations
10.
Yoon, Sorah, Kai‐Wen Huang, Vikash Reebye, et al.. (2016). Aptamer-Drug Conjugates of Active Metabolites of Nucleoside Analogs and Cytotoxic Agents Inhibit Pancreatic Tumor Cell Growth. Molecular Therapy — Nucleic Acids. 6. 80–88. 68 indexed citations
11.
Yoon, Sorah, et al.. (2015). Revealing genomic profile that underlies tropism of myeloma cells using whole exome sequencing. Clinical Lymphoma Myeloma & Leukemia. 15. e117–e117. 1 indexed citations
12.
Lee, Garam, et al.. (2011). Proteomic analysis of swine hepatitis E virus (sHEV)-infected livers reveals upregulation of apolipoprotein and downregulation of ferritin heavy chain. FEMS Immunology & Medical Microbiology. 61(3). 359–363. 13 indexed citations
13.
Dias, Peter, Francesca Giannoni, Lian Ni Lee, et al.. (2010). CD4 T-Cell Help Programs a Change in CD8 T-Cell Function Enabling Effective Long-Term Control of Murine Gammaherpesvirus 68: Role of PD-1-PD-L1 Interactions. Journal of Virology. 84(16). 8241–8249. 17 indexed citations
14.
Lee, Garam, et al.. (2010). Cross-reactivity of Vaccine and Fields Strains of Bovine Coronaviruses in Korea. Journal of Bacteriology and Virology. 40(1). 49–49. 2 indexed citations
15.
Oh, Seung‐June, Sorah Yoon, Eui Kyun Park, et al.. (2008). Cell cycle and immune-related processes are significantly altered in chronic GVHD. Bone Marrow Transplantation. 41(12). 1047–1057. 10 indexed citations
16.
Lee, Kyung-Woo, et al.. (2008). Seroprevalence of leptospirosis in animals in Korea. Veterinary Record. 163(1). 28–29. 7 indexed citations
17.
Lee, Ki Hoon, et al.. (2007). P2X7 receptor polymorphism and clinical outcomes in HLA-matched sibling allogeneic hematopoietic stem cell transplantation. Haematologica. 92(5). 651–657. 29 indexed citations
18.
Cha, Sang‐Ho, Eun‐Jin Choi, Jong-Hyeon Park, et al.. (2006). Molecular characterization of recent Korean porcine reproductive and respiratory syndrome (PRRS) viruses and comparison to other Asian PRRS viruses. Veterinary Microbiology. 117(2-4). 248–257. 44 indexed citations
19.
Yun, Tak, et al.. (2003). Adrenal cortical carcinoma initially presented with overwhelming disseminated intravascular coagulation. Annals of Hematology. 82(9). 596–598. 4 indexed citations
20.
Yoon, Sorah, et al.. (1998). Determination of Ginsenoside Rf and Rg2 from Panax ginseng Using Enzyme Immunoassay.. Chemical and Pharmaceutical Bulletin. 46(7). 1144–1147. 17 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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