Nancy Yu
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Microbiology top 1%
Papers in
-
- Breast Cancer Treatment Studies 6
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Fiona S. L. BrinkmanMatthew R. LairdS. Cenk ŞahinalpRaymond LoPhuong DaoGabor MelliJames WagnerMartin Ester
- Journals
- Nucleic Acids Research (3 papers)Scientific Reports (2 papers)Science Signaling (2 papers)Cancer (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- SwedenUnited StatesCanada
In The Last Decade
Nancy Yu
27 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Medicine 263
- Microbiology 323
- Endocrinology 262
- Cancer Research 521
- Molecular Biology 2.2k
Countries citing papers authored by Nancy Yu
This map shows the geographic impact of Nancy Yu'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 Nancy Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Yu more than expected).
Fields of papers citing papers by Nancy Yu
This network shows the impact of papers produced by Nancy Yu. 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 Nancy Yu. The network helps show where Nancy Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nancy Yu, 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 | 2022 | 11 | |
| 2 | 2022 | 6 | |
| 3 | 2020 | 14 | |
| 4 | 2020 | 14 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 11 | |
| 7 | 2018 | 70 | |
| 8 | 2017 | 14 | |
| 9 | 2017 | 15 | |
| 10 | Expression and clinical significance of Ki-67, E-cadherin, and mesothelin in serous borderline ovarian tumor. | 2017 | 3 |
| 11 | 2017 | 56 | |
| 12 | 2017 | 16 | |
| 13 | 2015 | 80 | |
| 14 | 2013 | 115 | |
| 15 | 2011 | 118 | |
| 16 | Pseudomonas Genome Database: improved comparative analysis and population genomics capability for Pseudomonas genomes Hit paper breakdown → | 2010 | 510 |
| 17 | 2010 | 71 | |
| 18 | 2009 | 1 | |
| 19 | 2007 | 22 | |
| 20 | 2005 | 51 |
About Nancy Yu
Nancy Yu is a scholar working on Cancer Research, Developmental Neuroscience, Genetics, Geriatrics and Gerontology and Occupational Therapy, having authored 27 papers that have together received 3.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Estrogen and related hormone effects (5 papers), MicroRNA in disease regulation (4 papers), Advanced Breast Cancer Therapies (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Molecular Medicine (263 citations), Microbiology (323 citations), Endocrinology (262 citations), Cancer Research (521 citations) and Molecular Biology (2.2k citations). Nancy Yu has collaborated with scholars based in Sweden, United States and Canada. Frequent co-authors include Fiona S. L. Brinkman, Matthew R. Laird, S. Cenk Şahinalp, Raymond Lo, Phuong Dao, Gabor Melli, James Wagner, Martin Ester, Leonard J. Foster and Geoffrey L. Winsor. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Science Signaling, Cancer and Journal of Cellular and Molecular 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.