Jun Tu

1.4k total citations
72 papers, 1.0k citations indexed

About

Jun Tu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jun Tu has authored 72 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 18 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jun Tu's work include Cardiovascular Health and Disease Prevention (22 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers). Jun Tu is often cited by papers focused on Cardiovascular Health and Disease Prevention (22 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers). Jun Tu collaborates with scholars based in China, United States and Montenegro. Jun Tu's co-authors include Xianjia Ning, Jinghua Wang, Wei Tu, Zong-Guo Xia, Stuart H. Tedders, Keith Clarke, Allan Frei, Jingxian Ni, Lingling Bai and Jie Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Hydrology.

In The Last Decade

Jun Tu

67 papers receiving 1.0k citations

Peers

Jun Tu
Comparison fields: 5 of 119
  • Water Science and Technology 305
  • Cardiology and Cardiovascular Medicine 232
  • Global and Planetary Change 215
  • Environmental Engineering 131
  • Endocrinology, Diabetes and Metabolism 127
Replace Wen Li with:
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James M. Hassett United States
Jichao Sun China
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Wen Li China View profile →
Citations per field, relative to Jun Tu
Jun Tu · 1×
Citations per year, relative to Jun Tu
Jun Tu · 1×

Countries citing papers authored by Jun Tu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tu. A scholar is included among the top collaborators of Jun Tu 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 Jun Tu. Jun Tu 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 1
4 2
5 7
6 2
7 2
8 2
9 2
10 4
11 2
12 1
13 7
14 11
15 22
16 17
17 45
18 37
19 6
20
Analysis of Apolipoprotein E Gene Polymorphism in Three Kinds of Cerebral Infarction
2

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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