Ying Wu

95 total papers · 3.5k total citations
69 papers, 2.1k citations indexed

About

Ying Wu is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Ying Wu has authored 69 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 15 papers in Plant Science and 10 papers in Oncology. Recurrent topics in Ying Wu's work include Chromosomal and Genetic Variations (8 papers), Cancer-related molecular mechanisms research (7 papers) and Global Cancer Incidence and Screening (6 papers). Ying Wu is often cited by papers focused on Chromosomal and Genetic Variations (8 papers), Cancer-related molecular mechanisms research (7 papers) and Global Cancer Incidence and Screening (6 papers). Ying Wu collaborates with scholars based in China, United States and Singapore. Ying Wu's co-authors include Zhijun Dai, Yujiao Deng, Zhen Zhai, Na Li, Linghui Zhou, Yi Zheng, Dingli Song, Si Yang, Huafeng Kang and Jun Lyu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Ying Wu

64 papers receiving 2.0k citations

Hit Papers

Global burden of breast c... 2019 2026 2021 2023 2019 2023 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ying Wu 969 456 349 344 231 69 2.1k
P. O. Ganrot 739 0.8× 232 0.5× 362 1.0× 292 0.8× 417 1.8× 44 2.6k
Gloría Ribas 996 1.0× 404 0.9× 526 1.5× 181 0.5× 144 0.6× 83 2.5k
Sabine Rehm 768 0.8× 460 1.0× 343 1.0× 109 0.3× 276 1.2× 82 2.6k
Aldo Cavallini 686 0.7× 365 0.8× 368 1.1× 135 0.4× 275 1.2× 70 1.8k
Angela Cox 1.1k 1.1× 489 1.1× 497 1.4× 204 0.6× 282 1.2× 79 2.9k
Sabrina Angelini 1.2k 1.2× 649 1.4× 641 1.8× 318 0.9× 329 1.4× 94 2.7k
Andrea S. Bauer 1.6k 1.7× 431 0.9× 481 1.4× 238 0.7× 123 0.5× 98 3.1k
Jianchao Ma 1.2k 1.2× 382 0.8× 287 0.8× 506 1.5× 78 0.3× 56 2.3k
Cheng Huang 1.2k 1.3× 334 0.7× 313 0.9× 144 0.4× 174 0.8× 104 2.5k
Haiyu Zhang 1.5k 1.6× 398 0.9× 502 1.4× 106 0.3× 232 1.0× 89 2.9k

Countries citing papers authored by Ying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Wu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026