Jun Tu

1.5k citations
75 papers · 1.1k · h-index 18

Impact in

Papers in

Jun Tu

73 papers receiving 1.1k citations

Peers

Jun Tu
Comparison fields: 5 of 119
  • Water Science and Technology 310
  • Environmental Chemistry 120
  • Global and Planetary Change 226
  • Environmental Engineering 131
  • Cardiology and Cardiovascular Medicine 147
Replace Yonglin Liu with:
Yonglin Liu China
Gordon Gong United States
William W. Budd United States
Jinhui Zhou China
Qiang Zeng China
Dan Chen China
Zhongyi Zhang China
Xiaomei Shen China
Bor‐Cheng Han Taiwan
Jun Tu relative to Yonglin Liu China Yonglin Liu's profile →
Citations per field
00.5×2×3×4.2×
Yonglin Liu · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009239
2 201198
3 200793
4 201644
5 201638
6 201928
7 201426
8 201825
9 202025
10 201924
11 201524
12 202023
13 200221
14 201221
15 201720
16 201919
17 201719
18 201819
19 201618
20 201918

About Jun Tu

Jun Tu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Neurology and Psychiatry and Mental health, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (17 papers), Cerebrovascular and Carotid Artery Diseases (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Acute Ischemic Stroke Management (8 papers), Dementia and Cognitive Impairment Research (6 papers), Blood Pressure and Hypertension Studies (6 papers), Air Quality and Health Impacts (4 papers) and Urban Transport and Accessibility (4 papers). The work is most often cited by research in Water Science and Technology (310 citations), Environmental Chemistry (120 citations), Global and Planetary Change (226 citations), Environmental Engineering (131 citations) and Cardiology and Cardiovascular Medicine (147 citations). Jun Tu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xianjia Ning, Jinghua Wang, Wei Tu, Zong-Guo Xia, Allan Frei, Stuart H. Tedders, Keith Clarke, Jingxian Ni, Lingling Bai and Jie Liu. Their work appears in journals such as Frontiers in Neurology, Diabetes Metabolic Syndrome and Obesity, Frontiers in Cardiovascular Medicine, Scientific Reports and Frontiers in Endocrinology.

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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