Tingting Yu

2.3k total citations · 1 hit paper
108 papers, 1.3k citations indexed

About

Tingting Yu is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tingting Yu has authored 108 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 31 papers in Genetics and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tingting Yu's work include Genomics and Rare Diseases (11 papers), Genomic variations and chromosomal abnormalities (9 papers) and Genetic Syndromes and Imprinting (6 papers). Tingting Yu is often cited by papers focused on Genomics and Rare Diseases (11 papers), Genomic variations and chromosomal abnormalities (9 papers) and Genetic Syndromes and Imprinting (6 papers). Tingting Yu collaborates with scholars based in China, United States and United Kingdom. Tingting Yu's co-authors include Jian Wang, Niu Li, Yiping Shen, Ruen Yao, Yufei Xu, Nan Zhang, Cheng Peng, Wei Huang, Gu He and Xiang Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Tingting Yu

96 papers receiving 1.3k citations

Hit Papers

Recent advances in targeting the “undruggable” proteins: ... 2023 2026 2024 2025 2023 50 100 150

Peers

Tingting Yu
Comparison fields: 5 of 117
  • Molecular Biology 651
  • Genetics 350
  • Physiology 132
  • Cancer Research 117
  • Oncology 97
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Namik Kaya Saudi Arabia
Sonia Podvin United States
Xiao-Hui Liao United States
Tomohiko Okuda Japan
Shuyun Xu United States
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Tatsuya Kurihara Japan
Jessica E. Kenison United States
Yuko Watanabe Japan
Tawfeg Ben‐Omran Qatar
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Citations per field, relative to Tingting Yu
Tingting Yu · 1×
Citations per year, relative to Tingting Yu
Tingting Yu · 1×

Countries citing papers authored by Tingting Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Yu. A scholar is included among the top collaborators of Tingting Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tingting Yu. Tingting Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 8
6 0
7 8
8 2
9 0
10 3
11 2
12 11
13 18
14 1
15 16
16 51
17 4
18 12
19 6
20 20

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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2026