Baoshun Lin

467 citations
8 papers · 390 · h-index 6

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • Advanced biosensing and bioanalysis techniques
    • Cancer-related gene regulation
    • RNA Interference and Gene Delivery
    • RNA modifications and cancer

Papers in

    • RNA Interference and Gene Delivery 2
    • CRISPR and Genetic Engineering 2
    • Epigenetics and DNA Methylation 1
    • Virus-based gene therapy research 2
    • Animal Genetics and Reproduction 1

Baoshun Lin

8 papers receiving 386 citations

Peers

Baoshun Lin
Comparison fields: 5 of 59
  • Cancer Research 98
  • Molecular Biology 258
  • Oncology 94
  • Developmental Neuroscience 9
  • Genetics 17
Replace Karla G. Contreras with:
Karla G. Contreras Australia
Leonor M. Sarmento Portugal
Giulia Garaffo Italy
Luca Orlando Italy
Darren Partridge Australia
Bauke de Boer Netherlands
James E. Hayden United States
Sue J. Hong United States
Hong Seo Choi South Korea
Paul M. Krzyzanowski Canada
Baoshun Lin relative to Karla G. Contreras Australia Karla G. Contreras's profile →
Citations per field
00.5×5.8×
Karla G. Contreras · 1×
Citations per year

Countries citing papers authored by Baoshun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Baoshun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2013220
2 201786
3 201238
4 201419
5 201212
6 201511
7 20173
8 20121

About Baoshun Lin

Baoshun Lin is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 390 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (2 papers), CRISPR and Genetic Engineering (2 papers), Virus-based gene therapy research (2 papers), Epigenetics and DNA Methylation (1 paper), Animal Genetics and Reproduction (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Supramolecular Self-Assembly in Materials (1 paper). The work is most often cited by research in Cancer Research (98 citations), Molecular Biology (258 citations), Oncology (94 citations), Developmental Neuroscience (9 citations) and Genetics (17 citations). Baoshun Lin has collaborated with scholars based in China and United States. Frequent co-authors include Xiaopeng Lan, Kuancan Liu, Jianwen Que, Meng Zhao, Xiangyue Yang, Fei Liu, Min Chen, Qiong Hu, Qiaojia Huang and Jian Zhu. Their work appears in journals such as Cellular Signalling, Journal of Cellular Biochemistry, Medicine, Journal of Cellular Physiology and Current Gene Therapy.

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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