Ting Yu

1.6k citations
41 papers · 1.1k · h-index 14

Impact in

    • Genomics and Phylogenetic Studies
    • Gut microbiota and health
    • Developmental Biology and Gene Regulation
    • Machine Learning in Bioinformatics

Papers in

Ting Yu

39 papers receiving 1k citations

Peers

Ting Yu
Comparison fields: 5 of 93
  • Molecular Biology 551
  • Aging 7
  • Cancer Research 53
  • Cardiology and Cardiovascular Medicine 88
  • Biochemistry 16
Replace Peter Pichler with:
Peter Pichler Austria
Zoltán Hegedüs Hungary
Zsuzsanna Bösze Hungary
Jaakko Pohjoismäki Finland
Emrah Kostem United States
Michael R. Snaith Sweden
Kunzhe Dong China
Takehiko Ogura Japan
Yuliya V. Karpievitch Australia
Nicholas D. Theodorakis United States
Ting Yu relative to Peter Pichler Austria Peter Pichler's profile →
Citations per field
00.5×1.6×
Peter Pichler · 1×
Citations per year

Countries citing papers authored by Ting Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017229
2 2015145
3 2014121
4 2016100
5 201977
6 201644
7 201538
8 202437
9 201832
10 202131
11 201430
12 201927
13 201426
14 202420
15 201514
16 201914
17 201811
18 201911
19 202010
20 20199

About Ting Yu

Ting Yu is a scholar working on Molecular Biology, Plant Science, Cancer Research, Cardiology and Cardiovascular Medicine and Physiology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Cardiac electrophysiology and arrhythmias (4 papers), Pain Mechanisms and Treatments (4 papers), Garlic and Onion Studies (3 papers), Pesticide Exposure and Toxicity (2 papers), Plant Diversity and Evolution (2 papers), Genomics and Rare Diseases (2 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Molecular Biology (551 citations), Aging (7 citations), Cancer Research (53 citations), Cardiology and Cardiovascular Medicine (88 citations) and Biochemistry (16 citations). Ting Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Juntao Liu, Guojun Li, Guojun Li, Zhenzhong Li, Huaxiang Liu, Zhen Liu, Zengchao Mu, Bingqiang Liu, Xiuzhen Huang and Pengyin Chen. Their work appears in journals such as BMC Bioinformatics, Scientific Reports, Bioinformatics, Journal of Visualized Experiments and Genome 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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