Cheng Jin

3.3k citations
129 papers · 2.5k · 1 hit paper · h-index 26

Impact in

Papers in

    • Antifungal resistance and susceptibility 23
    • Glycosylation and Glycoproteins Research 25
    • Fungal and yeast genetics research 20
    • Studies on Chitinases and Chitosanases 10

Cheng Jin

121 papers receiving 2.4k citations

Cheng Jin's Hit Papers

Are males more likely to be addicted to the internet than females? A meta-analysis involving 34 global jurisdictions 2019 · 167 citations
1670+2+4Years since publication50100150

Peers

Cheng Jin
Comparison fields: 5 of 147
  • Aging 47
  • Biotechnology 204
  • Reproductive Medicine 150
  • Infectious Diseases 297
  • Molecular Biology 1.1k
Replace Ramneek Gupta with:
Ramneek Gupta Denmark
Stavros J. Hamodrakas Greece
Congjun Li United States
Lachlan Coin Australia
Mair E. A. Churchill United States
J. F. Burke United Kingdom
Finn Drabløs Norway
Nicolas Hulo Switzerland
Haibo Wu China
Cheng Jin relative to Ramneek Gupta Denmark Ramneek Gupta's profile →
Citations per field
00.5×1.7×
Ramneek Gupta · 1×
Citations per year

Countries citing papers authored by Cheng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Are males more likely to be addicted to the internet than females? A meta-analysis involving 34 global jurisdictions
Hit paper breakdown →
2019167
2 2019162
3 2021116
4 200187
5 200767
6 201563
7 200762
8 201761
9 201858
10 202150
11 201647
12 201647
13 201942
14 201741
15 201140
16 202434
17 201334
18 200934
19 200833
20 201731

About Cheng Jin

Cheng Jin is a scholar working on Infectious Diseases, Molecular Biology, Biotechnology, Plant Science and Aging, having authored 129 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (25 papers), Antifungal resistance and susceptibility (23 papers), Fungal and yeast genetics research (20 papers), Enzyme Production and Characterization (14 papers), Polysaccharides and Plant Cell Walls (12 papers), Studies on Chitinases and Chitosanases (10 papers), Plant-Microbe Interactions and Immunity (9 papers) and Biofuel production and bioconversion (8 papers). The work is most often cited by research in Aging (47 citations), Biotechnology (204 citations), Reproductive Medicine (150 citations), Infectious Diseases (297 citations) and Molecular Biology (1.1k citations). Cheng Jin has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Haomiao Ouyang, Wenxia Fang, Hui Zhou, Marc Nicholas Potenza, Yan Yan, Wenliang Su, Yu Zhang, Tao Jiang, Yuzhou Li and Shengnan Wang. Their work appears in journals such as Microbiology, Fungal Genetics and Biology, Frontiers in Cellular and Infection Microbiology, Microbiology Spectrum and Molecular Microbiology.

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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