Jun Cai

6.7k total citations · 1 hit paper
97 papers, 4.1k citations indexed

About

Jun Cai is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Cai has authored 97 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 12 papers in Cancer Research and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Cai's work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (13 papers) and Blood Pressure and Hypertension Studies (9 papers). Jun Cai is often cited by papers focused on Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (13 papers) and Blood Pressure and Hypertension Studies (9 papers). Jun Cai collaborates with scholars based in China, United States and Germany. Jun Cai's co-authors include Hongkui Deng, Mingxiao Ding, Yang Zhao, Qin Han, Yanxia Liu, Zhihua Song, Sheng Zhong, Huck‐Hui Ng, Yuin‐Han Loh and Guoqing Tong and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jun Cai

90 papers receiving 4.0k citations

Hit Papers

A core Klf circuitry regulates self-renewal of embryonic ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Jun Cai
Comparison fields: 5 of 144
  • Molecular Biology 2.8k
  • Surgery 800
  • Hepatology 580
  • Genetics 433
  • Biomedical Engineering 406
Replace Lesley M. Forrester with:
Lesley M. Forrester United Kingdom
Jae‐Sung Kim South Korea
Wen Shi China
Lijian Hui China
Zhaoyu Li China
Jae‐Ho Lee South Korea
Min Xiong China
Yoshitaka Tamai Japan
Salvatore Campo Italy
Mustapha Najimi Belgium
Lesley M. Forrester United Kingdom 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 2
3 7
4 27
5 8
6 38
7 1
8 2
9 25
10 48
11 54
12 3
13 369
14 83
15 26
16 73
17 1
18 98
19 207
20 42

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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