Yi‐Da Tang

4.6k total citations · 1 hit paper
132 papers, 2.0k citations indexed

About

Yi‐Da Tang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yi‐Da Tang has authored 132 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Cardiology and Cardiovascular Medicine, 44 papers in Surgery and 32 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yi‐Da Tang's work include Cardiac Imaging and Diagnostics (25 papers), Acute Myocardial Infarction Research (25 papers) and Coronary Interventions and Diagnostics (23 papers). Yi‐Da Tang is often cited by papers focused on Cardiac Imaging and Diagnostics (25 papers), Acute Myocardial Infarction Research (25 papers) and Coronary Interventions and Diagnostics (23 papers). Yi‐Da Tang collaborates with scholars based in China, United States and United Kingdom. Yi‐Da Tang's co-authors include Chunli Shao, Wenyao Wang, Jian Tian, Jingjia Wang, A. Martin Gerdes, Kuo Zhang, Xiangbin Meng, Jie Yang, Jilin Zheng and Suleman Said and has published in prestigious journals such as Nucleic Acids Research, Circulation and Annals of Internal Medicine.

In The Last Decade

Yi‐Da Tang

119 papers receiving 2.0k citations

Hit Papers

The Impact of the Stress Hyperglycemia Ratio on Short-ter... 2022 2026 2023 2024 2022 40 80 120

Peers

Yi‐Da Tang
Comparison fields: 5 of 121
  • Cardiology and Cardiovascular Medicine 744
  • Endocrinology, Diabetes and Metabolism 579
  • Molecular Biology 545
  • Surgery 399
  • Epidemiology 379
Replace Jingfeng Wang with:
Jingfeng Wang China
Pedro Monteiro Portugal
Elena Osto Switzerland
Xiao‐Mei Li China
Naifeng Liu China
Ellen McErlean United States
Shinji Koba Japan
Masayuki Takamura Japan
Raffaele Galiero Italy
Alfredo Caturano Italy
Jingfeng Wang China View profile →
Citations per field, relative to Yi‐Da Tang
Yi‐Da Tang · 1×
Citations per year, relative to Yi‐Da Tang
Yi‐Da Tang · 1×

Countries citing papers authored by Yi‐Da Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Da Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Da Tang. 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 Yi‐Da Tang. The network helps show where Yi‐Da Tang may publish in the future.

Co-authorship network of co-authors of Yi‐Da Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Da Tang. A scholar is included among the top collaborators of Yi‐Da Tang 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 Yi‐Da Tang. Yi‐Da Tang 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 5
2 0
3 1
4 1
5 22
6 11
7 1
8 3
9 2
10 0
11 7
12
The Impact of the Stress Hyperglycemia Ratio on Short-term and Long-term Poor Prognosis in Patients With Acute Coronary Syndrome: Insight From a Large Cohort Study in Asia breakdown →
131
13 6
14 1
15 20
16 4
17 39
18 8
19 50
20 8

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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