Juying Yan

15 papers receiving 268 citations

Peers

Juying Yan
Comparison fields: 5 of 47
  • Plant Science 106
  • Ecology, Evolution, Behavior and Systematics 47
  • Molecular Biology 149
  • Agronomy and Crop Science 22
  • Biotechnology 14
Replace Nádia Graciele Krohn with:
Nádia Graciele Krohn Brazil
Antoine Peraldi United Kingdom
Aura Navarro‐Quezada Germany
Andrea L. Vu United States
Burt H. Bluhm United States
Damien Afoufa-Bastien France
Suoping Li China
Kularb Laosatit Thailand
Blair J. Goates United States
Hiroshi Shinozuka Australia
Juying Yan relative to Nádia Graciele Krohn Brazil Nádia Graciele Krohn's profile →
Citations per field
00.5×1.5×2.4×
Nádia Graciele Krohn · 1×
Citations per year

Countries citing papers authored by Juying Yan

Since Specialization
Citations

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

Fields of papers citing papers by Juying Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018106
2 201851
3 202126
4 199625
5 202125
6 202211
7 20218
8 20246
9
Epidemiological survey on a dengue fever outbreak in Yiwu, Zhejiang province.
20104
10 20242
11
Taq man-based real-time PCR assay for quick detection of influenza B virus
20052
12
Genetic and immunogenic characteristics of measles virus isolated in Zhejiang Province
20061
13
Genetic Characteristics of the G Gene of RSV in Zhejiang Province
20061
14
Rapid Detection of Avian Influenza virus H5 by Real-Time RT-PCR and TaqMan-MGB probe
20061
15 20241

About Juying Yan

Juying Yan is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Epidemiology and Infectious Diseases, having authored 15 papers that have together received 270 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (4 papers), Fungal and yeast genetics research (2 papers), Mycorrhizal Fungi and Plant Interactions (2 papers), Influenza Virus Research Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Animal Virus Infections Studies (2 papers), Virology and Viral Diseases (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Plant Science (106 citations), Ecology, Evolution, Behavior and Systematics (47 citations), Molecular Biology (149 citations), Agronomy and Crop Science (22 citations) and Biotechnology (14 citations). Juying Yan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jerry Jenkins, Jeremy Schmutz, Evangeline S. Ballerini, Uffe Hellsten, Kerrie Barry, Elena M. Kramer, Martin A. Lysák, Sirma Mihaltcheva, Richard D. Hayes and Magnus Nordborg. Their work appears in journals such as Microbial Biotechnology, Fungal Genetics and Biology, Frontiers in Bioengineering and Biotechnology, The Plant Journal and Molecular Genetics and Genomics.

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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