Yingting Wu

1.8k citations
26 papers · 465 · h-index 12

Impact in

Papers in

Yingting Wu

25 papers receiving 456 citations

Peers

Yingting Wu
Comparison fields: 5 of 105
  • Obstetrics and Gynecology 65
  • Cancer Research 75
  • Complementary and alternative medicine 31
  • Molecular Biology 223
  • Pharmacology 28
Replace Yoshiya Miyahara with:
Yoshiya Miyahara Japan
Fengyun Dong China
Naveen K. Krishnegowda United States
Arunima Shilpi India
Yangqiu Bai China
Stephanie Chow United States
Bryan Ngo United States
Zhenling Li China
Jingjing Shao China
Jean Sargent United States
Yingting Wu relative to Yoshiya Miyahara Japan Yoshiya Miyahara's profile →
Citations per field
00.5×7.7×
Yoshiya Miyahara · 1×
Citations per year

Countries citing papers authored by Yingting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012142
2 201876
3 200648
4 201028
5 202120
6 201219
7 201619
8 202015
9 202213
10 201813
11 202113
12 202311
13 20199
14 20227
15 20227
16 20246
17 20244
18 20243
19 20213
20 20142

About Yingting Wu

Yingting Wu is a scholar working on Molecular Biology, Obstetrics and Gynecology, Hematology, Immunology and Surgery, having authored 26 papers that have together received 465 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (4 papers), Reproductive System and Pregnancy (3 papers), Neurobiology and Insect Physiology Research (2 papers), Traditional Chinese Medicine Analysis (2 papers), Quantum Dots Synthesis And Properties (2 papers), Cancer-related gene regulation (2 papers), Pregnancy and preeclampsia studies (2 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Obstetrics and Gynecology (65 citations), Cancer Research (75 citations), Complementary and alternative medicine (31 citations), Molecular Biology (223 citations) and Pharmacology (28 citations). Yingting Wu has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jinnan Zhang, Yanming Wu, Kai Wang, Xinyao Zhou, Xiaojie Huang, Julei Yao, Yuanhui Jia, Xianghong Xu, Linyan Jia and Ming‐Hui Lee. Their work appears in journals such as Acta Pharmaceutica Sinica B, Phytotherapy Research, Chemical Communications, RSC Advances and Antimicrobial Agents and Chemotherapy.

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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