Yalin Tu

915 citations
18 papers · 505 · h-index 11

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 3
    • Histone Deacetylase Inhibitors Research 3
    • Plant biochemistry and biosynthesis 2
    • Alzheimer's disease research and treatments 4

Yalin Tu

18 papers receiving 501 citations

Peers

Yalin Tu
Comparison fields: 5 of 77
  • Neurology 79
  • Developmental Neuroscience 23
  • Biological Psychiatry 13
  • Pharmacology 74
  • Endocrine and Autonomic Systems 26
Replace Raquel M. Melero-Fernández de Mera with:
Raquel M. Melero-Fernández de Mera Spain
Zhaotao Wang China
Xiang Yin China
Alexandre Fifre France
Stefanie Pallast United States
Candan A Akar United States
Riyo Enomoto Japan
Zhihui Zhu China
Rifang Liao China
Yalin Tu relative to Raquel M. Melero-Fernández de Mera Spain Raquel M. Melero-Fernández de Mera's profile →
Citations per field
00.5×2.7×
Raquel M. Melero-Fernández de Mera · 1×
Citations per year

Countries citing papers authored by Yalin Tu

Since Specialization
Citations

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

Fields of papers citing papers by Yalin Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2017108
2 202167
3 201659
4 201747
5 201543
6 201933
7 202127
8 201622
9 202221
10 201720
11 201715
12 20209
13 20178
14 20228
15 20167
16 20245
17 20244
18 20242

About Yalin Tu

Yalin Tu is a scholar working on Molecular Biology, Physiology, Pharmacology, Plant Science and Cancer Research, having authored 18 papers that have together received 505 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Computational Drug Discovery Methods (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Neurology (79 citations), Developmental Neuroscience (23 citations), Biological Psychiatry (13 citations), Pharmacology (74 citations) and Endocrine and Autonomic Systems (26 citations). Yalin Tu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jingkao Chen, Rongbiao Pi, Xiaohong Yang, Yifan Han, Qiuhe Chen, Shengnan Wang, Xiao Zhang, Zhaowei Sun, Minghua Jin and Shijun Wen. Their work appears in journals such as European Journal of Pharmacology, Cancer Letters, European Journal of Medicinal Chemistry, Planta and RSC Advances.

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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