Jun Bai

582 citations
27 papers · 382 · h-index 13

Impact in

    • Asthma and respiratory diseases
    • Alzheimer's disease research and treatments
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • RNA modifications and cancer

Papers in

    • RNA modifications and cancer 4
    • Epigenetics and DNA Methylation 3
    • FOXO transcription factor regulation 2
    • Cancer-related gene regulation 2
    • RNA and protein synthesis mechanisms 2
    • Bacteriophages and microbial interactions 4

Jun Bai

26 papers receiving 375 citations

Peers

Jun Bai
Comparison fields: 5 of 85
  • Physiology 64
  • Molecular Biology 161
  • Biological Psychiatry 5
  • Cancer Research 28
  • Aging 3
Replace Rebecca Caffrey with:
Rebecca Caffrey United States
Carla Luís Portugal
Jiahui Shi China
Abhimanyu Krishna Luxembourg
Andrey A. Kuzmin Russia
Ab Rauf Shah United States
Joachim M. Gerhold Estonia
Mark Haid Germany
Luping Wang China
Wanhua Yang China
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Citations per field
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Rebecca Caffrey · 1×
Citations per year

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-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.

Border = papers with Jun Bai Line = papers co-authored together Jun Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199857
2 202142
3 201828
4 202127
5 202227
6 202126
7 202218
8 201918
9 202217
10 202216
11 202016
12 201916
13 202213
14 202111
15 19979
16 20228
17 20216
18 20206
19 20226
20 20225

About Jun Bai

Jun Bai is a scholar working on Molecular Biology, Ecology, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 27 papers that have together received 382 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Bacteriophages and microbial interactions (4 papers), Epigenetics and DNA Methylation (3 papers), FOXO transcription factor regulation (2 papers), Cancer-related gene regulation (2 papers), Plant Pathogenic Bacteria Studies (2 papers), RNA and protein synthesis mechanisms (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Physiology (64 citations), Molecular Biology (161 citations), Biological Psychiatry (5 citations), Cancer Research (28 citations) and Aging (3 citations). Jun Bai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ying Xu, Zhike Zhou, Chuansheng Zhao, Mei Zhao, Geoffrey Berry, Ann J. Woolcock, Jennifer Peat, Guy B. Marks, Shanshan Zhong and Liansheng Zhang. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Environmental Health and Preventive Medicine, Applied Microbiology and Biotechnology, Briefings in Bioinformatics and Frontiers in Microbiology.

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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