Yiman Lin

28 papers receiving 466 citations

Peers

Yiman Lin
Comparison fields: 5 of 69
  • Endocrinology 198
  • Molecular Medicine 85
  • Food Science 201
  • Biotechnology 66
  • Infectious Diseases 138
Replace Amin Tahoun with:
Amin Tahoun Egypt
Bok-Kwon Lee South Korea
Erik J. Boll Denmark
Tomasz Wołkowicz Poland
Kara Cooper United States
Pornphan Diraphat Thailand
Ana Vivanco Spain
Stefanie Barth Germany
David R. Greig United Kingdom
T. Yano Brazil
Yiman Lin relative to Amin Tahoun Egypt Amin Tahoun's profile →
Citations per field
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Amin Tahoun · 1×
Citations per year

Countries citing papers authored by Yiman Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yiman Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201283
2 201470
3 201945
4 202033
5 201730
6 201427
7 201427
8 201324
9 201521
10 201716
11 201616
12 201413
13 201712
14 202110
15 20219
16 20169
17 20145
18 20194
19 20194
20
[Characteristics of Salmonella enterica serovar Senftenberg lacking Salmonella pathogenicity island 1].
20114

About Yiman Lin

Yiman Lin is a scholar working on Endocrinology, Food Science, Infectious Diseases, Molecular Biology and Ecology, having authored 28 papers that have together received 477 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (14 papers), Vibrio bacteria research studies (12 papers), Viral gastroenteritis research and epidemiology (7 papers), Bacteriophages and microbial interactions (6 papers), Aquaculture disease management and microbiota (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Genomics and Phylogenetic Studies (3 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Endocrinology (198 citations), Molecular Medicine (85 citations), Food Science (201 citations), Biotechnology (66 citations) and Infectious Diseases (138 citations). Yiman Lin has collaborated with scholars based in China, Netherlands and Hong Kong. Frequent co-authors include Xiaolu Shi, Yaqun Qiu, Qinghua Hu, Qiongcheng Chen, Qinghua Hu, Yinghui Li, Zhigang Cui, Jianzhong Zhang, Yixiang Jiang and Xiaoxia Tao. Their work appears in journals such as Foodborne Pathogens and Disease, Annals of Clinical Microbiology and Antimicrobials, Emerging infectious diseases, Frontiers in Microbiology and Frontiers in Cellular and Infection 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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