Yaying Du
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- CRISPR and Genetic Engineering 5
- RNA modifications and cancer 4
- Kruppel-like factors research 2
- Oncology 14
- CAR-T cell therapy research 8
- Cancer-related Molecular Pathways 3
- Co-authors
- Xiaoyun Dai (7 shared papers)Sidi Chen (7 shared papers)Guangchuan Wang (5 shared papers)Youssef Errami (5 shared papers)Jonathan J. Park (5 shared papers)Ryan D. Chow (5 shared papers)Lupeng Ye (4 shared papers)Matthew B. Dong (4 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Nature Biotechnology (2 papers)Frontiers in Oncology (2 papers)Frontiers in Endocrinology (2 papers)Nature Methods (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yaying Du
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Oncology 511
- Cancer Research 215
- Immunology 241
- Molecular Biology 689
- Business and International Management 18
Countries citing papers authored by Yaying Du
This map shows the geographic impact of Yaying Du'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 Yaying Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaying Du more than expected).
Fields of papers citing papers by Yaying Du
This network shows the impact of papers produced by Yaying Du. 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 Yaying Du. The network helps show where Yaying Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaying Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 225 | |
| 2 | 2019 | 153 | |
| 3 | 2022 | 150 | |
| 4 | 2019 | 112 | |
| 5 | 2020 | 90 | |
| 6 | 2018 | 60 | |
| 7 | 2019 | 40 | |
| 8 | 2023 | 37 | |
| 9 | 2019 | 35 | |
| 10 | 2018 | 31 | |
| 11 | 2021 | 29 | |
| 12 | 2022 | 25 | |
| 13 | 2020 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2022 | 20 | |
| 16 | 2020 | 18 | |
| 17 | 2022 | 16 | |
| 18 | 2022 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2024 | 9 |
About Yaying Du
Yaying Du is a scholar working on Molecular Biology, Oncology, Cancer Research, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), CRISPR and Genetic Engineering (5 papers), Ferroptosis and cancer prognosis (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer-related Molecular Pathways (3 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Oncology (511 citations), Cancer Research (215 citations), Immunology (241 citations), Molecular Biology (689 citations) and Business and International Management (18 citations). Yaying Du has collaborated with scholars based in China and United States. Frequent co-authors include Xiaoyun Dai, Sidi Chen, Guangchuan Wang, Youssef Errami, Jonathan J. Park, Ryan D. Chow, Lupeng Ye, Matthew B. Dong, Wenfei Xia and Xingrui Li. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Nature Biotechnology, Frontiers in Oncology, Frontiers in Endocrinology and Nature Methods.
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.