Yi Wu

7.7k citations
81 papers · 5.7k indexed · 4 hit papers · h-index 34

Impact in

Papers in

Yi Wu

76 papers receiving 5.6k citations

Hit Papers

Fast, long-term, super-resolution imaging with Hessian structured illumination microscopy 2018 · 430 citations
4302007202620132019250500750

Peers

Yi Wu
Comparison fields: 5 of 143
  • Immunology and Allergy 667
  • Cell Biology 1.7k
  • Biophysics 480
  • Cellular and Molecular Neuroscience 1.2k
  • Cancer Research 852
Replace James E. Bear with:
James E. Bear United States
Kiyoko Fukami Japan
Alexander Sorkin United States
Louis Hodgson United States
H. Amalia Pasolli United States
Franck Perez France
Anthony J. Koleske United States
Ola Söderberg Sweden
Olivier Pertz Switzerland
Yingxiao Wang United States
Yi Wu relative to James E. Bear United States James E. Bear's profile →
Citations per field
00.5×1.5×2.0×
James E. Bear · 1×
Citations per year

Countries citing papers authored by Yi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 201911
4 201837
5 201814
6 201810
7 201719
8 2016108
9 201616
10 201635
11 201562
12 201511
13 201210
14 201139
15 20114
16 2011207
17
The zinc and copper levels in serum of 70 vitiligo patients from Guangxi province.
20107
18
A genetically encoded photoactivatable Rac controls the motility of living cells
Hit paper breakdown →
2009850
19 2004236
20
Study on Aminolysis of Poly Benzyl Glutamate and Its Biodegradability
20001

About Yi Wu

Yi Wu is a scholar working on Immunology and Allergy, Cell Biology, Cancer Research, Otorhinolaryngology and Cellular and Molecular Neuroscience, having authored 81 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (12 papers), Protease and Inhibitor Mechanisms (12 papers), Cell Adhesion Molecules Research (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Peptidase Inhibition and Analysis (9 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Photoreceptor and optogenetics research (5 papers) and Light effects on plants (5 papers). The work is most often cited by research in Immunology and Allergy (667 citations), Cell Biology (1.7k citations), Biophysics (480 citations), Cellular and Molecular Neuroscience (1.2k citations) and Cancer Research (852 citations). Yi Wu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Klaus M. Hahn, M. Sharon Stack, Christopher M. Overall, Brian Kuhlman, Eric M. Tam, Ilme Schlichting, Daniel Frey, Oana I. Lungu, Jörg Geiger and Yueying Liu. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, Scientific Reports, Nature Communications and Nature Cell Biology.

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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