Jun Bai
Impact in
- Pollution top 5%
- Heavy metals in environment
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Genomics and Phylogenetic Studies 5
-
- Cerebrovascular and Carotid Artery Diseases 7
- Aortic Disease and Treatment Approaches 6
- Co-authors
- Rongliang Qiu (5 shared papers)Shizhong Wang (5 shared papers)Yanmei Chen (4 shared papers)Xiguo Yuan (7 shared papers)Lefeng Qu (19 shared papers)Ruiying Du (1 shared paper)Xiuhong Yang (1 shared paper)P. Thangavel (1 shared paper)
- Journals
- Environmental Toxicology (5 papers)Journal of Clinical Oncology (4 papers)Scientific Reports (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)Anti-Cancer Drugs (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Bai
92 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Pollution 221
- Cancer Research 189
- Health, Toxicology and Mutagenesis 160
- Geochemistry and Petrology 50
- Molecular Biology 437
Countries citing papers authored by Jun Bai
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
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-authors
The 25 scholars most cited alongside Jun Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 139 | |
| 2 | 2014 | 126 | |
| 3 | 2016 | 108 | |
| 4 | 2019 | 58 | |
| 5 | 2020 | 50 | |
| 6 | 2018 | 50 | |
| 7 | 2016 | 46 | |
| 8 | 2018 | 45 | |
| 9 | 2019 | 39 | |
| 10 | 2015 | 37 | |
| 11 | 2017 | 34 | |
| 12 | 2021 | 34 | |
| 13 | 2019 | 30 | |
| 14 | 2020 | 29 | |
| 15 | 2023 | 29 | |
| 16 | 2019 | 29 | |
| 17 | 2015 | 26 | |
| 18 | 2018 | 25 | |
| 19 | 2017 | 24 | |
| 20 | 2014 | 22 |
About Jun Bai
Jun Bai is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Health, Toxicology and Mutagenesis, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (7 papers), Cancer-related molecular mechanisms research (6 papers), Cancer Genomics and Diagnostics (6 papers), Aortic Disease and Treatment Approaches (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Air Quality and Health Impacts (6 papers), Genomics and Phylogenetic Studies (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Pollution (221 citations), Cancer Research (189 citations), Health, Toxicology and Mutagenesis (160 citations), Geochemistry and Petrology (50 citations) and Molecular Biology (437 citations). Jun Bai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Rongliang Qiu, Shizhong Wang, Yanmei Chen, Xiguo Yuan, Lefeng Qu, Ruiying Du, Xiuhong Yang, P. Thangavel, Qihang Wu and Han Zheng. Their work appears in journals such as Environmental Toxicology, Journal of Clinical Oncology, Scientific Reports, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Anti-Cancer Drugs.
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.