Baojun Chen

529 citations
25 papers · 405 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing

Papers in

    • RNA Research and Splicing 3
    • Plant Molecular Biology Research 5
    • Research in Cotton Cultivation 4
    • Plant nutrient uptake and metabolism 2

Baojun Chen

22 papers receiving 401 citations

Peers

Baojun Chen
Comparison fields: 5 of 76
  • Cancer Research 170
  • Molecular Biology 218
  • Plant Science 97
  • Nuclear Energy and Engineering 1
  • Immunology 40
Replace Jennifer Gebetsberger with:
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Baojun Chen relative to Jennifer Gebetsberger Austria Jennifer Gebetsberger's profile →
Citations per field
00.5×2.9×
Jennifer Gebetsberger · 1×
Citations per year

Countries citing papers authored by Baojun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Baojun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201649
3 201743
4 201036
5 202134
6 202232
7 201926
8 201123
9 201823
10 202017
11 201412
12 202412
13 202110
14 20209
15 20247
16 20236
17
[Differential expression of RPL6/Taxreb107 in drug resistant gastric cancer cell line SGC7901/ADR and its correlation with multiple-drug resistance].
20034
18 20243
19 20242
20 20191

About Baojun Chen

Baojun Chen is a scholar working on Molecular Biology, Plant Science, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 405 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Cancer-related molecular mechanisms research (5 papers), Research in Cotton Cultivation (4 papers), MicroRNA in disease regulation (3 papers), RNA Research and Splicing (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Cancer Research (170 citations), Molecular Biology (218 citations), Plant Science (97 citations), Nuclear Energy and Engineering (1 citation) and Immunology (40 citations). Baojun Chen has collaborated with scholars based in China, Norway and Poland. Frequent co-authors include Shufeng Li, Fang Ma, Kunpeng Jiang, Qiwei Wang, Sheng Zhao, Liudi Yuan, Guangming Gan, Jing Cheng, Qi Liu and Yongjian Zhang. Their work appears in journals such as International Journal of Cardiology, Biotechnology Letters, Molecular Plant, Environmental Toxicology and Pharmacology and Molecular Immunology.

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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