Yi Jin

2.1k citations
67 papers · 1.6k · h-index 22

Impact in

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

Papers in

Yi Jin

64 papers receiving 1.6k citations

Peers

Yi Jin
Comparison fields: 5 of 112
  • Cancer Research 661
  • Molecular Biology 859
  • Oncology 184
  • Developmental Neuroscience 27
  • Biotechnology 58
Replace Shinichi Kanno with:
Shinichi Kanno Japan
Jing Huang China
Vilma Maldonado Mexico
Meryem Gülfem Öner Germany
Ning Shi China
David M. Gonzalez United States
Hong Shu China
Sheng Zhang China
Paolo Fadda United States
Yingjian Zhu China
Yi Jin relative to Shinichi Kanno Japan Shinichi Kanno's profile →
Citations per field
00.5×4.5×
Shinichi Kanno · 1×
Citations per year

Countries citing papers authored by Yi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010186
2 2011155
3 2012120
4 202092
5 201587
6 201765
7 201962
8 201557
9 201149
10 201748
11 201548
12 201344
13 201343
14 201843
15 201642
16 201339
17 201730
18 201728
19 201227
20 201524

About Yi Jin

Yi Jin is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), MicroRNA in disease regulation (13 papers), Cancer Research and Treatments (6 papers), Liver Disease and Transplantation (5 papers), RNA modifications and cancer (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Cancer Mechanisms and Therapy (4 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cancer Research (661 citations), Molecular Biology (859 citations), Oncology (184 citations), Developmental Neuroscience (27 citations) and Biotechnology (58 citations). Yi Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zujian Chen, Xiqiang Liu, Xiaofeng Zhou, Anxun Wang, Antonia Kolokythas, Xinjin Chi, Yang Dai, Jun Cai, Xiaofeng Zhou and Ziqing Hei. Their work appears in journals such as PLoS ONE, Tumor Biology, International Journal of Molecular Medicine, Energies and Human Pathology.

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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