Jun Yin

2.0k citations
81 papers · 1.6k indexed · h-index 22
Topics
RNA Interference and Gene Delivery (10 papers)Virus-based gene therapy research (9 papers)Advanced biosensing and bioanalysis techniques (6 papers)

In The Last Decade

Jun Yin

80 papers receiving 1.6k citations

Peers

Jun Yin
Comparison fields: 5 of 111
  • Molecular Biology 887
  • Plant Science 207
  • Pharmacology 193
  • Biochemistry 179
  • Physiology 163
Replace Jean Christopher Chamcheu with:
Jean Christopher Chamcheu United States
Roslida Abd Hamid Malaysia
Bing‐Hung Chen Taiwan
Srinivas V. Koduru United States
Tengku Sifzizul Tengku Muhammad Malaysia
Un‐Ho Jin South Korea
Fayun Zhang China
Kyung‐Soo Nam South Korea
Muhajir Hamid Malaysia
Wooki Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Jun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yin. A scholar is included among the top collaborators of Jun Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Yin. Jun Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 9
4 1
5 1
6 3
7 4
8 13
9 6
10 20
11 13
12 8
13 16
14 6
15 36
16 56
17
Immune protection in dogs inoculated by CDV DNA vaccine
1
18
Effects of antisense TRX s gene on hydrolysis of storage proteins in germination of transgenic wheat (Triticum aestivum L.)
2
19
Inheritance and phenotype analysis of Anti-trxs gene and Bar gene in transgenic wheat
1
20
Effects of berberine on glucose and lipid metabolism in animal experiment
10

About Jun Yin

Jun Yin is a scholar working on Applied Microbiology and Biotechnology, Biochemistry and Pharmacology, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Virus-based gene therapy research (9 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Biochemistry (179 citations), Pharmacology (123 citations) and Biochemistry (82 citations). Jun Yin has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Xiangdong Gao, Ming‐Dao Chen, Qun Wang, Jinfeng Tang, Jialun Chen, Fengying Li, Vishwajeet Puri, Renming Hu, Ying Yang and Min Won Lee. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nano Letters.

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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