Lingying Wu

3.2k citations
206 papers · 1.7k · h-index 21

Impact in

Papers in

    • Ovarian cancer diagnosis and treatment 71
    • Endometriosis Research and Treatment 14
    • PARP inhibition in cancer therapy 20
    • Cancer Immunotherapy and Biomarkers 12

Lingying Wu

196 papers receiving 1.7k citations

Peers

Lingying Wu
Comparison fields: 5 of 104
  • Reproductive Medicine 517
  • Obstetrics and Gynecology 454
  • Cancer Research 352
  • Oncology 482
  • Immunology 172
Replace Yoshihiro Ohishi with:
Yoshihiro Ohishi Japan
Arto Leminen Finland
Rebecca Brooks United States
Danhua Shen China
Eliane Mery-Lamarche France
Jordi Xercavins Spain
Bojana Djordjevic Canada
Salvatore Lopez Italy
Yasuyuki Hirashima Japan
Eirini Pectasides Greece
Lingying Wu relative to Yoshihiro Ohishi Japan Yoshihiro Ohishi's profile →
Citations per field
00.5×3.1×
Yoshihiro Ohishi · 1×
Citations per year

Countries citing papers authored by Lingying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lingying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lingying Wu, 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 Lingying Wu Line = papers co-authored together Lingying Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202183
2 202273
3 200766
4 201755
5 202249
6 201642
7 201438
8 201229
9
A pilot study of sentinel lymph nodes identification in patients with endometrial cancer.
200729
10 202226
11 202026
12 200925
13 202125
14 201225
15 201725
16 201724
17 202224
18 202423
19 201422
20 201722

About Lingying Wu

Lingying Wu is a scholar working on Reproductive Medicine, Oncology, Obstetrics and Gynecology, Epidemiology and Surgery, having authored 206 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (71 papers), Endometrial and Cervical Cancer Treatments (65 papers), Cervical Cancer and HPV Research (27 papers), PARP inhibition in cancer therapy (20 papers), Endometriosis Research and Treatment (14 papers), Cancer-related molecular mechanisms research (13 papers), Cancer Immunotherapy and Biomarkers (12 papers) and Uterine Myomas and Treatments (12 papers). The work is most often cited by research in Reproductive Medicine (517 citations), Obstetrics and Gynecology (454 citations), Cancer Research (352 citations), Oncology (482 citations) and Immunology (172 citations). Lingying Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ning Li, Jusheng An, Jia Zeng, Leilei Liang, Xiaoguang Li, Jian Li, Bin Li, Hong‐Tu Zhang, Tiantian Wang and Wen‐Hua Zhang. Their work appears in journals such as Journal of Clinical Oncology, Gynecologic Oncology, Frontiers in Oncology, International Journal of Gynecological Cancer and BMC Cancer.

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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