Jun Cai

10.0k total citations · 2 hit papers
184 papers, 5.8k citations indexed

About

Jun Cai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Jun Cai has authored 184 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 54 papers in Cardiology and Cardiovascular Medicine and 31 papers in Surgery. Recurrent topics in Jun Cai's work include Blood Pressure and Hypertension Studies (33 papers), Hormonal Regulation and Hypertension (20 papers) and Cardiovascular Health and Disease Prevention (17 papers). Jun Cai is often cited by papers focused on Blood Pressure and Hypertension Studies (33 papers), Hormonal Regulation and Hypertension (20 papers) and Cardiovascular Health and Disease Prevention (17 papers). Jun Cai collaborates with scholars based in China, United States and Australia. Jun Cai's co-authors include Bin Geng, Shouling Wu, Xinchun Yang, Qinghua Cui, Jing Li, Weili Zhang, Xiaoyan Liu, Lei Yang, Ling Jin and Ryan Weldon and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jun Cai

172 papers receiving 5.8k citations

Hit Papers

Gut microbiota dysbiosis contributes to the development ... 2012 2026 2016 2021 2017 2012 400 800 1.2k

Peers

Jun Cai
Comparison fields: 5 of 149
  • Molecular Biology 3.1k
  • Physiology 1.2k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Cancer Research 904
  • Epidemiology 597
Replace Zhengyuan Xia with:
Zhengyuan Xia China
Jie Zhang China
Cheng Zhang China
Tomoya Yamashita Japan
Lulu Chen China
Tannaz Jamialahmadi Iran
Xue Qin China
Alexander Koch Germany
Magnus Bäck Sweden
Yan Yang China
Zhengyuan Xia China View profile →
Citations per field, relative to Jun Cai
Jun Cai · 1×
Citations per year, relative to Jun Cai
Jun Cai · 1×

Countries citing papers authored by Jun Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Cai. A scholar is included among the top collaborators of Jun Cai 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 Cai. Jun Cai 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 1
2 0
3 2
4 2
5 0
6 2
7 0
8 7
9 2
10 14
11 1
12 51
13
High ACTN1 Is Associated with Poor Prognosis, and ACTN1 Silencing Suppresses Cell Proliferation and Metastasis in Oral Squamous Cell Carcinoma
1
14 45
15 2
16 47
17 50
18 12
19 3
20 32

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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