Yaying Du

1.8k citations
37 papers · 1.4k · h-index 19

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Yaying Du

36 papers receiving 1.4k citations

Peers

Yaying Du
Comparison fields: 5 of 52
  • Oncology 335
  • Cancer Research 164
  • Molecular Biology 265
  • Endocrinology, Diabetes and Metabolism 59
  • Genetics 22
Replace Linda X.H. Yuan with:
Linda X.H. Yuan United States
Alfredo A. Molinolo United States
Yinggui Yang China
Shenda Gu United States
Zeying Fan United States
Ananthan Sadagopan United States
Hengbo Zhou United States
Kevin Hudson United Kingdom
Albert Santamaria‐Martínez Switzerland
Vineet Kumar Gupta United States
Yaying Du relative to Linda X.H. Yuan United States Linda X.H. Yuan's profile →
Citations per field
00.5×2×4×6.8×
Linda X.H. Yuan · 1×
Citations per year

Countries citing papers authored by Yaying Du

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yaying Du Line = papers co-authored together Yaying Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019247
2 2022166
3 2019163
4 2019121
5 2020105
6 200865
7 201862
8 201943
9 202340
10 201935
11 200732
12 202132
13 201830
14 202225
15 202023
16 201722
17 202221
18 202020
19 202219
20 202218

About Yaying Du

Yaying Du is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Oncology, Materials Chemistry and Molecular Biology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Cancer-related molecular mechanisms research (5 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Quantum Dots Synthesis And Properties (3 papers), Breast Cancer Treatment Studies (2 papers), Mesoporous Materials and Catalysis (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (335 citations), Cancer Research (164 citations), Molecular Biology (265 citations), Endocrinology, Diabetes and Metabolism (59 citations) and Genetics (22 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 Joon-Young Park, Ryan Dz-Wei Chow, Lupeng Ye, Matthew B. Dong, Wenfei Xia and Xingrui Li. Their work appears in journals such as Frontiers in Oncology, Nature Biotechnology, Journal of Solid State Chemistry, The Journal of Clinical Endocrinology & Metabolism and Frontiers in Endocrinology.

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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