Min Jin

2.1k citations
38 papers · 1.4k · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Protease and Inhibitor Mechanisms
    • Plant Gene Expression Analysis
    • Circular RNAs in diseases
    • Plant biochemistry and biosynthesis

Papers in

    • Microbial Metabolic Engineering and Bioproduction 4
    • Plant Gene Expression Analysis 3
    • Glycosylation and Glycoproteins Research 2
    • Gut microbiota and health 2
    • Genetic Mapping and Diversity in Plants and Animals 6

Min Jin

36 papers receiving 1.4k citations

Peers

Min Jin
Comparison fields: 5 of 121
  • Cancer Research 265
  • Molecular Biology 604
  • Genetics 207
  • Biochemistry 43
  • Plant Science 250
Replace Fei Bao with:
Fei Bao United States
Małgorzata Gajewska Poland
Wenyan Xiao China
Zhaoyang Liu China
S. J. Rosochacki Poland
Susumu Muto Japan
Ayako Kimura Japan
Garry J. Rucklidge United Kingdom
Yang Han China
Lìjiāng Liú China
Min Jin relative to Fei Bao United States Fei Bao's profile →
Citations per field
00.5×3.1×
Fei Bao · 1×
Citations per year

Countries citing papers authored by Min Jin

Since Specialization
Citations

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

Fields of papers citing papers by Min Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013368
2 2015127
3 2014116
4 201780
5 202162
6 201857
7 201557
8 200656
9 201246
10 201839
11 200538
12 201837
13 202137
14 201036
15 201735
16 201935
17 201733
18 201516
19 201316
20 201516

About Min Jin

Min Jin is a scholar working on Molecular Biology, Genetics, Oncology, Plant Science and Cancer Research, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Plant Gene Expression Analysis (3 papers), MicroRNA in disease regulation (3 papers), Enzyme Production and Characterization (3 papers), Glycosylation and Glycoproteins Research (2 papers), Gut microbiota and health (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (265 citations), Molecular Biology (604 citations), Genetics (207 citations), Biochemistry (43 citations) and Plant Science (250 citations). Min Jin has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Li Zhang, Qingzhong Xiao, Jianhua Zhu, Qishan Chen, Feng Yang, Jianbing Yan, Alisdair R. Fernie, Yingjie Xiao, Haijun Liu and Weiwei Wen. Their work appears in journals such as Frontiers in Microbiology, Fish & Shellfish Immunology, Annals of Palliative Medicine, Environmental Pollution and Acta Pharmaceutica Sinica B.

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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