Tiffaney Hsia

519 total citations
12 papers, 160 citations indexed

About

Tiffaney Hsia is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Tiffaney Hsia has authored 12 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Biomedical Engineering. Recurrent topics in Tiffaney Hsia's work include MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (5 papers) and Nanoplatforms for cancer theranostics (3 papers). Tiffaney Hsia is often cited by papers focused on MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (5 papers) and Nanoplatforms for cancer theranostics (3 papers). Tiffaney Hsia collaborates with scholars based in United States and Taiwan. Tiffaney Hsia's co-authors include Bob S. Carter, Yunching Chen, Leonora Balaj, Emil Ekanayake, Hakho Lee, Dong Gil You, Anudeep Yekula, Melody Stallings‐Mann, Hsi‐Chien Huang and Julia L. Small and has published in prestigious journals such as Nature Communications, Cancer Research and Clinical Cancer Research.

In The Last Decade

Tiffaney Hsia

12 papers receiving 159 citations

Peers

Tiffaney Hsia

MB

BE

CR

GENET

PRM

Jaewan Jeon South Korea

Yangong Zhang China

Sean Mizzi Malta

Alba Loras Spain

Joris Guyon France

Elisabeth Niemeyer Germany

Sho Aki Japan

Clemens Schulte Germany

Kate Connor Ireland

Alice C. O’Farrell Ireland

Jaewan Jeon South Korea

Tiffaney Hsia

139 ×1.8

MB

58 ×0.9

BE

97 ×2.4

CR

35 ×1.1

GENET

40 ×1.3

PRM

Citations per year, relative to Tiffaney Hsia Tiffaney Hsia (= 1×) peers Jaewan Jeon

Countries citing papers authored by Tiffaney Hsia

Since Specialization

Citations

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

Fields of papers citing papers by Tiffaney Hsia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiffaney Hsia

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

All Works

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12 of 12 papers shown

1.

Escobedo, A., Tiffaney Hsia, Emil Ekanayake, et al.. (2024). Clinical utility of a blood based assay for the detection of IDH1.R132H-mutant gliomas. Nature Communications. 15(1). 7074–7074. 9 indexed citations

2.

Hsia, Tiffaney & Yunching Chen. (2024). RNA-encapsulating lipid nanoparticles in cancer immunotherapy: From pre-clinical studies to clinical trials. European Journal of Pharmaceutics and Biopharmaceutics. 197. 114234–114234. 5 indexed citations

3.

Cheng, Hui‐Teng, et al.. (2024). A quantitative review of nanotechnology‐based therapeutics for kidney diseases. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 16(2). 7 indexed citations

4.

Yekula, Anudeep, Tiffaney Hsia, Robert R. Kitchen, et al.. (2023). Longitudinal analysis of serum-derived extracellular vesicle RNA to monitor dacomitinib treatment response in EGFR-amplified recurrent glioblastoma patients. Neuro-Oncology Advances. 5(1). vdad104–vdad104. 2 indexed citations

5.

Hsia, Tiffaney, Julia L. Small, Anudeep Yekula, et al.. (2023). Systematic Review of Photodynamic Therapy in Gliomas. Cancers. 15(15). 3918–3918. 28 indexed citations

6.

Hsia, Tiffaney, Dong Gil You, Emil Ekanayake, et al.. (2023). Rigorous Comparison of Extracellular Vesicle Processing to Enhance Downstream Analysis for Glioblastoma Characterization. Advanced Biology. 8(1). e2300233–e2300233. 1 indexed citations

7.

Muralidharan, Koushik, et al.. (2022). Highly Sensitive EGFRvIII Detection in Circulating Extracellular Vesicle RNA of Glioma Patients. Clinical Cancer Research. 28(18). 4070–4082. 26 indexed citations

8.

Huang, Hsi‐Chien, Tiffaney Hsia, Chi‐Shiun Chiang, et al.. (2022). CXCR4-targeted nitric oxide nanoparticles deliver PD-L1 siRNA for immunotherapy against glioblastoma. Journal of Controlled Release. 352. 920–930. 38 indexed citations

9.

Hsia, Tiffaney, et al.. (2022). Decoding vesicle-based precision oncology in gliomas. Neuro-Oncology Advances. 4(Supplement_2). ii53–ii60. 5 indexed citations

10.

Hsia, Tiffaney, Anudeep Yekula, Dong Gil You, et al.. (2022). Glioblastoma‐derived extracellular vesicle subpopulations following 5‐aminolevulinic acid treatment bear diagnostic implications. Journal of Extracellular Vesicles. 11(11). e12278–e12278. 8 indexed citations

11.

Jin, Pei-Ru, I‐Ting Chen, Tiffaney Hsia, et al.. (2021). Cinchona Alkaloid-Inspired Urea-Containing Autophagy Inhibitor Shows Single-Agent Anticancer Efficacy. Journal of Medicinal Chemistry. 64(19). 14513–14525. 4 indexed citations

12.

Stallings‐Mann, Melody, et al.. (2018). A Soft Microenvironment Protects from Failure of Midbody Abscission and Multinucleation Downstream of the EMT-Promoting Transcription Factor Snail. Cancer Research. 78(9). 2277–2289. 27 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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