Junming Bi

1.9k citations
18 papers · 1.2k · h-index 12

Impact in

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

Papers in

    • Circular RNAs in diseases 9
    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 2
    • MicroRNA in disease regulation 8
    • Cancer-related molecular mechanisms research 6

Junming Bi

18 papers receiving 1.2k citations

Peers

Junming Bi
Comparison fields: 5 of 63
  • Cancer Research 664
  • Molecular Biology 871
  • Immunology 118
  • Oncology 137
  • Surgery 144
Replace Kentaro Jingushi with:
Kentaro Jingushi Japan
Sayantan Maji United States
Zhonghu Li China
Kundong Zhang China
Ying-Qin Li China
Chu‐Bin Luo China
Zhicheng Zeng China
Qing-Mei He China
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Citations per field
00.5×1.7×
Kentaro Jingushi · 1×
Citations per year

Countries citing papers authored by Junming Bi

Since Specialization
Citations

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

Fields of papers citing papers by Junming Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2018318
2 2018138
3 2019136
4 2019125
5 2018101
6 201877
7 201973
8 201860
9 201847
10 202043
11 201941
12 202130
13 202311
14 201910
15 20196
16 20255
17 20184
18 20233

About Junming Bi

Junming Bi is a scholar working on Molecular Biology, Cancer Research, Surgery, Immunology and Biomedical Engineering, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cancer Research (664 citations), Molecular Biology (871 citations), Immunology (118 citations), Oncology (137 citations) and Surgery (144 citations). Junming Bi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tianxin Lin, Wei Dong, Jian Huang, Meihua Yang, Ning Jiang, Hongwei Liu, Qingqing He, Wang He, Feng Su and Hongwei Liu. Their work appears in journals such as Aging, Molecular Cancer, Cell Death and Disease, Histopathology and International Journal of Biological Sciences.

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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