Baijun Bao

427 citations
8 papers · 287 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases
    • S100 Proteins and Annexins

Papers in

    • Extracellular vesicles in disease 4
    • RNA Interference and Gene Delivery 2
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 2
    • Cancer, Hypoxia, and Metabolism 1

Baijun Bao

8 papers receiving 280 citations

Peers

Baijun Bao
Comparison fields: 5 of 60
  • Cancer Research 131
  • Molecular Biology 221
  • Immunology 48
  • Immunology and Allergy 7
  • Genetics 11
Replace Joyce Stamm with:
Joyce Stamm United States
Jens Claus Hahne United Kingdom
Zhe Xing China
Veronika Mussack Germany
Jiangdong Ni China
Juntao Huang China
Casper J.E. Wahlund Sweden
Hongxia Peng China
Zhi Hao Kwok Singapore
Kexin Lei China
Baijun Bao relative to Joyce Stamm United States Joyce Stamm's profile →
Citations per field
00.5×10.5×
Joyce Stamm · 1×
Citations per year

Countries citing papers authored by Baijun Bao

Since Specialization
Citations

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

Fields of papers citing papers by Baijun Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Baijun Bao, 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 Baijun Bao Line = papers co-authored together Baijun Bao links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2022136
2 201735
3 201931
4 202126
5 202426
6 201317
7 201914
8 20252

About Baijun Bao

Baijun Bao is a scholar working on Molecular Biology, Cancer Research, Immunology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 287 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (2 papers), RNA Interference and Gene Delivery (2 papers), Circular RNAs in diseases (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Galectins and Cancer Biology (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Cancer Research (131 citations), Molecular Biology (221 citations), Immunology (48 citations), Immunology and Allergy (7 citations) and Genetics (11 citations). Baijun Bao has collaborated with scholars based in China. Frequent co-authors include Mingbing Xiao, Mei Li, Jie Ji, Dandan Jin, Yue Wu, Yifei Ji, Shengze Zhu, Runzhou Ni, Wenkai Ni and Cuihua Lu. Their work appears in journals such as Biomarkers in Medicine, Clinical & Translational Oncology, Renal Failure, Genes & Diseases and Frontiers in Cell and Developmental Biology.

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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