Yuan-Ting Wu

26 papers receiving 389 citations

Peers

Yuan-Ting Wu
Comparison fields: 5 of 96
  • Endocrine and Autonomic Systems 43
  • Cognitive Neuroscience 62
  • Social Psychology 64
  • Neurology 23
  • Cardiology and Cardiovascular Medicine 50
Replace Zili Luo with:
Zili Luo United States
Stephen Wastling United Kingdom
Yuejia Liu China
Shih-chang Wang Singapore
Kieran P. Normoyle United States
George Nascimento Brazil
J. M. Maarek United States
Sachiko Yoshida Japan
Jingjing Liu China
Ren Ma China
Yuan-Ting Wu relative to Zili Luo United States Zili Luo's profile →
Citations per field
00.5×1.5×2.5×
Zili Luo · 1×
Citations per year

Countries citing papers authored by Yuan-Ting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuan-Ting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202277
2 201255
3 202447
4 201741
5 202229
6 200524
7 201820
8 202416
9 202213
10 202411
11 201510
12 20079
13 20209
14 20209
15 20237
16 20213
17 20213
18 20102
19 20242
20 20142

About Yuan-Ting Wu

Yuan-Ting Wu is a scholar working on Epidemiology, Materials Chemistry, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 29 papers that have together received 396 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (3 papers), Neuroendocrine regulation and behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (43 citations), Cognitive Neuroscience (62 citations), Social Psychology (64 citations), Neurology (23 citations) and Cardiology and Cardiovascular Medicine (50 citations). Yuan-Ting Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ashfaq Adnan, Yongsoo Kim, Daniel J. Vanselow, Steffy B. Manjila, Keith C. Cheng, Chi‐Chang Hu, Todd E. Anthony, Feipei Lai, Wen-Chung Kao and Hannah Bennett. Their work appears in journals such as Expert Review of Vaccines, Nature Communications, Cell Reports, Scientific Reports and Applied Physics Letters.

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.

Explore authors with similar magnitude of impact