Zuolin Jin

721 citations
29 papers · 554 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Urology top 5%
    • Periodontal Regeneration and Treatments

Papers in

    • Bone Metabolism and Diseases 5
    • dental development and anomalies 4
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3

Zuolin Jin

28 papers receiving 543 citations

Peers

Zuolin Jin
Comparison fields: 5 of 75
  • Cancer Research 221
  • Urology 90
  • Periodontics 54
  • Genetics 109
  • Molecular Biology 288
Replace Manjing Deng with:
Manjing Deng China
Zhipeng Fan China
Qiming Zhai China
Shu Diao China
Gabriela Mercado Mexico
Fei Pei China
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Citations per field
00.5×3.1×
Manjing Deng · 1×
Citations per year

Countries citing papers authored by Zuolin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Zuolin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016146
2 201752
3 201448
4 201935
5 201931
6 201725
7 202022
8 202321
9 202117
10 202017
11 202116
12
MiR-106a* inhibits oral squamous cell carcinoma progression by directly targeting MeCP2 and suppressing the Wnt/β-Catenin signaling pathway.
201815
13 201514
14 202113
15 200912
16 200712
17 201710
18 201010
19 20208
20 20138

About Zuolin Jin

Zuolin Jin is a scholar working on Molecular Biology, Cancer Research, Genetics, Urology and Oncology, having authored 29 papers that have together received 554 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Mesenchymal stem cell research (4 papers), dental development and anomalies (4 papers), Periodontal Regeneration and Treatments (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Adipose Tissue and Metabolism (3 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Cancer Research (221 citations), Urology (90 citations), Periodontics (54 citations), Genetics (109 citations) and Molecular Biology (288 citations). Zuolin Jin has collaborated with scholars based in China, United States and France. Frequent co-authors include Lin Wang, Yang Song, Qiong Wu, Fan Wu, Xiaolei Li, Y Duan, Wen Qin, Qiang Li, Wenjia Liu and Liying Wang. Their work appears in journals such as Displays, Cell Death and Disease, BioMed Research International, Heliyon and Scientific Reports.

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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