Ying Wu

4.3k citations
102 papers · 3.1k indexed · 1 hit paper · h-index 27

Ying Wu

97 papers receiving 3.1k citations

Hit Papers

The mitophagy pathway and its implications in human diseases3842023202620242025100200300

Peers

Ying Wu
Comparison fields: 5 of 140
  • Cancer Research 702
  • Molecular Biology 2.0k
  • Cell Biology 298
  • Health, Toxicology and Mutagenesis 178
  • Physiology 308
Replace Martin O. Leonard with:
Martin O. Leonard United Kingdom
Bo Chen China
Youichiro Wada Japan
Xiao Xiao China
Sandeep Kumar United States
Daniele Tibullo Italy
Huai‐Dong Song China
Kyoko Kitagawa Japan
Jing Gu China
David A. Goukassian United States
Ying Wu relative to Martin O. Leonard United Kingdom Martin O. Leonard's profile →
Citations per field
00.5×
Martin O. Leonard · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20232
4 20238
5 20232
6 202318
7 20232
8 20231
9
The mitophagy pathway and its implications in human diseasesbreakdown →
2023384
10 202129
11 202126
12 202015
13 202026
14 20203
15 20206
16 202024
17 202043
18 201968
19 201912
20
Experimental study on the effects of resveratrol on the proliferation and apoptosis of gastric cancer SGC-7901 cells.
20091

About Ying Wu

Ying Wu is a scholar working on Cancer Research, Molecular Biology, Rehabilitation, Hepatology and Complementary and Manual Therapy, having authored 102 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (10 papers), RNA modifications and cancer (9 papers), RNA Interference and Gene Delivery (8 papers), Circular RNAs in diseases (7 papers), Bacteriophages and microbial interactions (5 papers), RNA Research and Splicing (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Cancer Research (702 citations), Molecular Biology (2.0k citations), Cell Biology (298 citations), Health, Toxicology and Mutagenesis (178 citations) and Physiology (308 citations). Ying Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaohua Gong, Richard N. Sifers, Kelley W. Moremen, Matthew T. Swulius, George Klier, Haijiao Long, En Li, Joseph Horwitz, Norton B. Gilula and Baorong Feng. Their work appears in journals such as Journal of Cancer, Frontiers in Immunology, Biomedicine & Pharmacotherapy, Nucleic Acids Research 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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