Jin Cui

900 citations
15 papers · 336 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Circular RNAs in diseases 6
    • Extracellular vesicles in disease 3
    • Angiogenesis and VEGF in Cancer 2
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 3

Jin Cui

15 papers receiving 336 citations

Peers

Jin Cui
Comparison fields: 5 of 57
  • Cancer Research 105
  • Immunology 110
  • Neurology 24
  • Molecular Biology 127
  • Developmental Neuroscience 7
Replace Gifty Dominah with:
Gifty Dominah United States
Ming Ni China
Natalia Baulina Russia
Sonja M. Lacher Germany
Shrishti Saxena United States
Katie Van Geyte Belgium
Ziyu Yu China
Wenyu Di China
Shiyue Mei China
Petr Tauš Czechia
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Citations per field
00.5×
Gifty Dominah · 1×
Citations per year

Countries citing papers authored by Jin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199687
2 201769
3 202456
4 201449
5 201715
6 202210
7 20229
8 20209
9 20179
10 20196
11
[Differential expressions of microRNA between young and senescent endothelial cells].
20126
12 20205
13 20193
14 20222
15 20201

About Jin Cui

Jin Cui is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Oncology, having authored 15 papers that have together received 336 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Extracellular vesicles in disease (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Inflammatory mediators and NSAID effects (1 paper), T-cell and B-cell Immunology (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Cancer Research (105 citations), Immunology (110 citations), Neurology (24 citations), Molecular Biology (127 citations) and Developmental Neuroscience (7 citations). Jin Cui has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Weibin Wu, Mian Wang, Shenming Wang, Wen Li, Zilun Li, Rui Wang, Eisuke Kondo, Hiroshi Sato, K Masuda and T Tokuhisa. Their work appears in journals such as Cellular Physiology and Biochemistry, Aging, BMC Cardiovascular Disorders, Aging Cell and Oxidative Medicine and Cellular Longevity.

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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