Yingting Wu

1.8k citations
26 papers · 497 · h-index 13

Impact in

Papers in

Yingting Wu

25 papers receiving 486 citations

Peers

Yingting Wu
Comparison fields: 5 of 106
  • Obstetrics and Gynecology 62
  • Cancer Research 65
  • Complementary and alternative medicine 30
  • Molecular Biology 199
  • Immunology 55
Replace Ying Luo with:
Ying Luo China
Heng Wei China
Bryan Ngo United States
Yoshiya Miyahara Japan
Serpil Oğuztüzün Türkiye
Lixin Yang China
Seokwon Lee South Korea
Stephanie Chow United States
Thumuluru Kavitha Madhuri United Kingdom
Young Ran Park South Korea
Yingting Wu relative to Ying Luo China Ying Luo's profile →
Citations per field
00.5×1.5×2.3×
Ying Luo · 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 2012151
2 201878
3 200648
4 201028
5 202125
6 201619
7 201219
8 202016
9 202115
10 202214
11 202313
12 201813
13 201912
14 20247
15 20227
16 20227
17 20246
18 20244
19 20254
20 20213

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 497 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (3 papers), Endometriosis Research and Treatment (2 papers), Reproductive System and Pregnancy (2 papers), Cancer-related gene regulation (2 papers), Traditional Chinese Medicine Analysis (2 papers), Extracellular vesicles in disease (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Crop Yield and Soil Fertility (1 paper). The work is most often cited by research in Obstetrics and Gynecology (62 citations), Cancer Research (65 citations), Complementary and alternative medicine (30 citations), Molecular Biology (199 citations) and Immunology (55 citations). Yingting Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jinnan Zhang, Julei Yao, Yanming Wu, Xiaojie Huang, Xinyao Zhou, Yuanhui Jia, Linyan Jia, Xianghong Xu, Kai Wang and Bernice H. Wong. Their work appears in journals such as Pathology, Diabetes Research and Clinical Practice, Blood Cells Molecules and Diseases, Acta Pharmaceutica Sinica B and The FASEB Journal.

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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