Jun Yi Yan

1.1k citations
49 papers · 886 · h-index 18

Impact in

Papers in

Jun Yi Yan

43 papers receiving 869 citations

Peers

Jun Yi Yan
Comparison fields: 5 of 80
  • Animal Science and Zoology 110
  • Food Science 218
  • Biotechnology 40
  • Aquatic Science 35
  • Nutrition and Dietetics 53
Replace Gabriela Ramos-Clamont Montfort with:
Gabriela Ramos-Clamont Montfort Mexico
Ningbo Liao China
Changrong Ou China
Yongzhi Zhu China
Endre Máthé Hungary
Saikun Pan China
Pengpeng Li China
Meritaine da Rocha Brazil
Chaogeng Xiao China
Etsuo Watanabe Japan
Jun Yi Yan relative to Gabriela Ramos-Clamont Montfort Mexico Gabriela Ramos-Clamont Montfort's profile →
Citations per field
00.5×2×3.3×
Gabriela Ramos-Clamont Montfort · 1×
Citations per year

Countries citing papers authored by Jun Yi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2 202078
3 201173
4 201953
5 201449
6 201643
7 202442
8 202041
9 201539
10 202438
11 201233
12 202133
13 202328
14 202223
15 202323
16 202222
17 202322
18 202319
19 202415
20 202011

About Jun Yi Yan

Jun Yi Yan is a scholar working on Animal Science and Zoology, Molecular Biology, Microbiology, Genetics and Ecology, having authored 49 papers that have together received 886 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (10 papers), Meat and Animal Product Quality (8 papers), Antimicrobial Peptides and Activities (4 papers), Genetic Associations and Epidemiology (3 papers), Bacteriophages and microbial interactions (3 papers), Insect Resistance and Genetics (2 papers), Crystal structures of chemical compounds (2 papers) and Seed and Plant Biochemistry (2 papers). The work is most often cited by research in Animal Science and Zoology (110 citations), Food Science (218 citations), Biotechnology (40 citations), Aquatic Science (35 citations) and Nutrition and Dietetics (53 citations). Jun Yi Yan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jing Xie, Xin‐Yun Wang, Yingjie Pan, Jingjun Ruan, Wenfeng Weng, Zhaohuan Zhang, Zhaoyang Ding, Shunchun Wang, Yong Zhao and Yilong Wang. Their work appears in journals such as Food Bioscience, Food Research International, Foods, Pesticide Biochemistry and Physiology and Frontiers in 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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