Catherine Yao
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
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- Advanced biosensing and bioanalysis techniques 5
- Hedgehog Signaling Pathway Studies 4
- RNA Interference and Gene Delivery 4
-
- Reproductive System and Pregnancy 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Jianjun Cheng (7 shared papers)Andrew L. Ferguson (2 shared papers)William G. Helferich (3 shared papers)Timothy M. Fan (3 shared papers)Li Tang (3 shared papers)Lawrence W. Dobrucki (3 shared papers)Stéphane Lezmi (3 shared papers)Qian Yin (3 shared papers)
- Journals
- Blood (2 papers)Angewandte Chemie International Edition (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Cell (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Catherine Yao
18 papers receiving 1.6k citations
Catherine Yao's Hit Papers
Peers
Comparison fields: 5 of 100
- Biomaterials 482
- Microbiology 154
- Molecular Biology 954
- Biomedical Engineering 470
- Dermatology 75
Countries citing papers authored by Catherine Yao
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
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-authors
The 25 scholars most cited alongside Catherine Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Investigating the optimal size of anticancer nanomedicine Hit paper breakdown → | 2014 | 563 |
| 2 | 2015 | 313 | |
| 3 | 2015 | 194 | |
| 4 | 2016 | 111 | |
| 5 | 2012 | 93 | |
| 6 | 2018 | 82 | |
| 7 | 2013 | 81 | |
| 8 | 2014 | 53 | |
| 9 | 2015 | 51 | |
| 10 | 2020 | 48 | |
| 11 | 2012 | 27 | |
| 12 | 2015 | 13 | |
| 13 | 2013 | 7 | |
| 14 | 2020 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2011 | 1 | |
| 18 | 2013 | 1 |
About Catherine Yao
Catherine Yao is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Biomaterials and Genetics, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Hedgehog Signaling Pathway Studies (4 papers), RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (3 papers), Nanoplatforms for cancer theranostics (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Reproductive System and Pregnancy (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biomaterials (482 citations), Microbiology (154 citations), Molecular Biology (954 citations), Biomedical Engineering (470 citations) and Dermatology (75 citations). Catherine Yao has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Jianjun Cheng, Andrew L. Ferguson, William G. Helferich, Timothy M. Fan, Li Tang, Lawrence W. Dobrucki, Stéphane Lezmi, Qian Yin, Xujuan Yang and Ziyuan Song. Their work appears in journals such as Blood, Angewandte Chemie International Edition, Proceedings of the National Academy of Sciences, Cancer Cell and Nature Medicine.
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.