Jun Bai

2.0k total citations
96 papers, 1.3k citations indexed

About

Jun Bai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Jun Bai has authored 96 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 33 papers in Pulmonary and Respiratory Medicine and 17 papers in Cancer Research. Recurrent topics in Jun Bai's work include Cerebrovascular and Carotid Artery Diseases (8 papers), Cancer-related molecular mechanisms research (8 papers) and Aortic Disease and Treatment Approaches (7 papers). Jun Bai is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (8 papers), Cancer-related molecular mechanisms research (8 papers) and Aortic Disease and Treatment Approaches (7 papers). Jun Bai collaborates with scholars based in China, United States and Canada. Jun Bai's co-authors include Shizhong Wang, Rongliang Qiu, Yanmei Chen, Xiguo Yuan, Lefeng Qu, Xiuhong Yang, Ruiying Du, P. Thangavel, Qihang Wu and Qingfei Li and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jun Bai

89 papers receiving 1.3k citations

Peers

Jun Bai
Comparison fields: 5 of 128
  • Molecular Biology 453
  • Cancer Research 205
  • Pulmonary and Respiratory Medicine 203
  • Pollution 201
  • Plant Science 168
Replace Kai Xu with:
Kai Xu China
Chun Pan Taiwan
Isabelle R. Miousse United States
Lan Li China
Xiaoyan Yuan China
Xiuxiu Chen China
Lawei Yang China
Xi Zhong China
Yiting Zhang China
Dawei He China
Kai Xu China View profile →
Citations per field, relative to Jun Bai
Jun Bai · 1×
Citations per year, relative to Jun Bai
Jun Bai · 1×

Countries citing papers authored by Jun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Bai. A scholar is included among the top collaborators of Jun Bai 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 Bai. Jun Bai 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 0
4 8
5 3
6 4
7 6
8 4
9 16
10 9
11
LINC00657 promotes the development of colon cancer by activating PI3K/AKT pathway
4
12 3
13 5
14 4
15 5
16 24
17 12
18 118
19 21
20 120

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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