Ying Wu
- Pathology and Forensic Medicine top 1%
- Oncology top 5%
- Molecular Biology
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- Robert M.W. HofstraCharles H.C.M. BuysJan H. KleibeukerRolf H. SijmonsMaran J.W. BerendsHarry HollemaRob G.J. MensinkAte G.J. van der Zee
- Topics
- Genetic factors in colorectal cancer (13 papers)Colorectal Cancer Screening and Detection (9 papers)Cancer Genomics and Diagnostics (7 papers)
- Journals
- Nature GeneticsJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Ying Wu
130 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 147
- Pathology and Forensic Medicine 893
- Oncology 790
- Molecular Biology 648
- Cancer Research 590
- Surgery 473
Countries citing papers authored by Ying Wu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 16 | |
| 8 | 14 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | [Relationship between pigment epithelium-derived factor expressed in placentas and the pathogenesis of preeclampsia disease]. | 3 |
| 13 | 0 | |
| 14 | 16 | |
| 15 | [Characteristics of atmospheric pollutants in Beijing, Zhuozhou, Baoding and Shijiazhuang during the period of summer and autumn]. | 9 |
| 16 | 11 | |
| 17 | 41 | |
| 18 | Clinical value of contrast-enhanced ultrasonography in the characterization of focal liver lesions: a prospective multicenter trial. | 15 |
| 19 | 255 | |
| 20 | 16 |
About Ying Wu
Ying Wu is a scholar working on Cancer Research, Obstetrics and Gynecology and Pathology and Forensic Medicine, having authored 140 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (13 papers), Colorectal Cancer Screening and Detection (9 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (893 citations), Cancer Research (590 citations) and Oncology (790 citations). Ying Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Robert M.W. Hofstra, Charles H.C.M. Buys, Jan H. Kleibeuker, Rolf H. Sijmons, Maran J.W. Berends, Harry Hollema, Rob G.J. Mensink, Ate G.J. van der Zee, Chaofu Ke and Yanan Qiao. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.