Catherine Yao

2.5k total citations · 1 hit paper
18 papers, 1.6k citations indexed

About

Catherine Yao is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Catherine Yao has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Biomedical Engineering. Recurrent topics in Catherine Yao's work include Advanced biosensing and bioanalysis techniques (5 papers), Hedgehog Signaling Pathway Studies (4 papers) and RNA Interference and Gene Delivery (4 papers). Catherine Yao is often cited by papers focused on Advanced biosensing and bioanalysis techniques (5 papers), Hedgehog Signaling Pathway Studies (4 papers) and RNA Interference and Gene Delivery (4 papers). Catherine Yao collaborates with scholars based in United States, China and Russia. Catherine Yao's co-authors include Jianjun Cheng, Andrew L. Ferguson, Li Tang, Timothy M. Fan, Stéphane Lezmi, William G. Helferich, Xujuan Yang, Lawrence W. Dobrucki, Qian Yin and Ziyuan Song and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Medicine.

In The Last Decade

Catherine Yao

18 papers receiving 1.6k citations

Hit Papers

Investigating the optimal size of anticancer nanomedicine 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Yao United States 12 954 482 470 191 187 18 1.6k
Ruosen Xie United States 24 1.1k 1.2× 433 0.9× 702 1.5× 261 1.4× 133 0.7× 37 2.0k
Xianghui Xu China 24 821 0.9× 747 1.5× 745 1.6× 227 1.2× 202 1.1× 62 1.7k
Amir K. Varkouhi Netherlands 12 1.4k 1.4× 592 1.2× 498 1.1× 193 1.0× 118 0.6× 17 2.0k
Frederic Ducongè France 26 1.2k 1.3× 281 0.6× 414 0.9× 198 1.0× 228 1.2× 55 1.8k
Anat Eldar‐Boock Israel 20 705 0.7× 560 1.2× 689 1.5× 262 1.4× 213 1.1× 37 1.7k
Ann‐Marie Broome United States 24 977 1.0× 551 1.1× 699 1.5× 304 1.6× 59 0.3× 44 2.4k
Stefania Biffi Italy 23 518 0.5× 271 0.6× 315 0.7× 146 0.8× 130 0.7× 55 1.3k
Yujing Li China 20 1.1k 1.2× 545 1.1× 1.1k 2.3× 604 3.2× 86 0.5× 48 2.4k
Ji Young Yhee South Korea 29 1.2k 1.2× 808 1.7× 851 1.8× 220 1.2× 122 0.7× 63 2.5k
Michal Pechar Czechia 26 908 1.0× 1.1k 2.3× 792 1.7× 232 1.2× 401 2.1× 76 2.2k

Countries citing papers authored by Catherine Yao

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Yao

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

All Works

18 of 18 papers shown
1.
Yao, Catherine & Kara L. Davis. (2024). Correlative studies reveal factors contributing to successful CAR-T cell therapies in cancer. Cancer and Metastasis Reviews. 44(1). 15–15. 2 indexed citations
2.
Yao, Catherine, et al.. (2022). Exploring clinician perspectives on patients with atrial fibrillation who are not prescribed anticoagulation therapy. SHILAP Revista de lepidopterología. 1. 100062–100062. 3 indexed citations
3.
Yao, Catherine, Daniel Haensel, Sadhana Gaddam, et al.. (2020). AP-1 and TGFß cooperativity drives non-canonical Hedgehog signaling in resistant basal cell carcinoma. Nature Communications. 11(1). 5079–5079. 48 indexed citations
4.
Yao, Catherine, Daniel Haensel, Sadhana Gaddam, et al.. (2020). 140 AP-1 and TGFß cooperativity drives non-canonical Hedgehog signaling in resistant basal cell carcinoma. Journal of Investigative Dermatology. 140(7). S17–S17. 4 indexed citations
5.
Whitson, Ramon J., Alex Lee, Amar Mirza, et al.. (2018). Noncanonical hedgehog pathway activation through SRF–MKL1 promotes drug resistance in basal cell carcinomas. Nature Medicine. 24(3). 271–281. 82 indexed citations
6.
He, Hua, Nan Zheng, Ziyuan Song, et al.. (2016). Suppression of Hepatic Inflammation via Systemic siRNA Delivery by Membrane-Disruptive and Endosomolytic Helical Polypeptide Hybrid Nanoparticles. ACS Nano. 10(2). 1859–1870. 111 indexed citations
7.
Atwood, Scott X., Kavita Y. Sarin, Ramon J. Whitson, et al.. (2015). Smoothened Variants Explain the Majority of Drug Resistance in Basal Cell Carcinoma. Cancer Cell. 27(3). 342–353. 313 indexed citations
8.
Zheng, Nan, Ziyuan Song, Yang Liu, et al.. (2015). Redox-responsive, reversibly-crosslinked thiolated cationic helical polypeptides for efficient siRNA encapsulation and delivery. Journal of Controlled Release. 205. 231–239. 51 indexed citations
9.
10.
Xiong, Menghua, Michelle W. Lee, Rachael A. Mansbach, et al.. (2015). Helical antimicrobial polypeptides with radial amphiphilicity. Proceedings of the National Academy of Sciences. 112(43). 13155–13160. 194 indexed citations
11.
Prashad, Sacha, Vincenzo Calvanese, Catherine Yao, et al.. (2014). GPI-80 Defines Self-Renewal Ability in Hematopoietic Stem Cells during Human Development. Cell stem cell. 16(1). 80–87. 53 indexed citations
12.
Tang, Li, Xujuan Yang, Qian Yin, et al.. (2014). Investigating the optimal size of anticancer nanomedicine. Proceedings of the National Academy of Sciences. 111(43). 15344–15349. 563 indexed citations breakdown →
13.
Yin, Lichen, Ziyuan Song, Qiuhao Qu, et al.. (2013). Supramolecular Self‐Assembled Nanoparticles Mediate Oral Delivery of Therapeutic TNF‐α siRNA against Systemic Inflammation. Angewandte Chemie International Edition. 52(22). 5757–5761. 81 indexed citations
14.
Prashad, Sacha, Vincenzo Calvanese, Catherine Yao, et al.. (2013). GPI-80 Defines Self-Renewal Ability In Hematopoietic Stem Cells During Human Development. Blood. 122(21). 4839–4839. 1 indexed citations
15.
Yin, Lichen, Ziyuan Song, Qiuhao Qu, et al.. (2013). Supramolecular Self‐Assembled Nanoparticles Mediate Oral Delivery of Therapeutic TNF‐α siRNA against Systemic Inflammation. Angewandte Chemie. 125(22). 5869–5873. 7 indexed citations
16.
Tang, Li, Xujuan Yang, Lawrence W. Dobrucki, et al.. (2012). Aptamer‐Functionalized, Ultra‐Small, Monodisperse Silica Nanoconjugates for Targeted Dual‐Modal Imaging of Lymph Nodes with Metastatic Tumors. Angewandte Chemie International Edition. 51(51). 12721–12726. 93 indexed citations
17.
Tang, Li, Xujuan Yang, Lawrence W. Dobrucki, et al.. (2012). Aptamer‐Functionalized, Ultra‐Small, Monodisperse Silica Nanoconjugates for Targeted Dual‐Modal Imaging of Lymph Nodes with Metastatic Tumors. Angewandte Chemie. 124(51). 12893–12898. 27 indexed citations
18.
Prashad, Sacha, Catherine Yao, Mattias Magnusson, Rajkumar Sasidharan, & Hanna Mikkola. (2011). GPI80 Distinguishes Transplantable Human Fetal Hematopoietic Stem Cells From Multipotential Progenitors. Blood. 118(21). 1280–1280. 1 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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