Tingting Yang

2.6k total citations · 1 hit paper
63 papers, 1.9k citations indexed

About

Tingting Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tingting Yang has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tingting Yang's work include Retinal Development and Disorders (17 papers), Ion channel regulation and function (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Tingting Yang is often cited by papers focused on Retinal Development and Disorders (17 papers), Ion channel regulation and function (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Tingting Yang collaborates with scholars based in China, United States and Netherlands. Tingting Yang's co-authors include Junjie Xiao, Zhongrong Zhang, Henry M. Colecraft, Yu Zhang, Wayne A. Hendrickson, Stephen H. Tsang, Yao Li, Ye Yin, Huang Huang and Zhimin Yin and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Tingting Yang

59 papers receiving 1.9k citations

Hit Papers

Circular RNAs: Promising Biomarkers for Human Diseases 2018 2026 2020 2023 2018 200 400 600

Peers

Tingting Yang
Comparison fields: 5 of 120
  • Molecular Biology 1.6k
  • Cancer Research 658
  • Cellular and Molecular Neuroscience 309
  • Cardiology and Cardiovascular Medicine 193
  • Ophthalmology 122
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Ying Ni United States View profile →
Citations per field, relative to Tingting Yang
Tingting Yang · 1×
Citations per year, relative to Tingting Yang
Tingting Yang · 1×

Countries citing papers authored by Tingting Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Yang. A scholar is included among the top collaborators of Tingting Yang 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 Yang. Tingting Yang 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 1
3 3
4 3
5 2
6 0
7 2
8 9
9 16
10 18
11 1
12 31
13 15
14 27
15 29
16 23
17 46
18 2
19 136
20 46

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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