Wanli Yan

410 citations
15 papers · 326 · h-index 10

Impact in

    • Enzyme Production and Characterization
    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • RNA and protein synthesis mechanisms

Papers in

Wanli Yan

15 papers receiving 310 citations

Peers

Wanli Yan
Comparison fields: 5 of 64
  • Biotechnology 47
  • Molecular Biology 240
  • Biomedical Engineering 124
  • Endocrinology 13
  • Aquatic Science 15
Replace Trond Erik Vee Aune with:
Trond Erik Vee Aune Norway
Natalia P. Zakataeva Russia
Axel Niebisch Germany
Pengwei Li China
S Thorbjarnardóttir Iceland
Laichuang Han China
Hildegard Watzlawick Germany
Aimin Ma China
Orly Tabachnikov Israel
Patrick V. Phaneuf United States
Wanli Yan relative to Trond Erik Vee Aune Norway Trond Erik Vee Aune's profile →
Citations per field
00.5×7.6×
Trond Erik Vee Aune · 1×
Citations per year

Countries citing papers authored by Wanli Yan

Since Specialization
Citations

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

Fields of papers citing papers by Wanli Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201889
2 201846
3 201941
4 201929
5 201824
6 202323
7 201916
8 202115
9 201910
10 201810
11 20229
12 20186
13 20234
14 20243
15 20201

About Wanli Yan

Wanli Yan is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Infectious Diseases and Ecology, having authored 15 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), Biosensors and Analytical Detection (4 papers), SARS-CoV-2 detection and testing (2 papers), Enzyme Production and Characterization (2 papers), Aquaculture disease management and microbiota (2 papers), Alzheimer's disease research and treatments (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Biotechnology (47 citations), Molecular Biology (240 citations), Biomedical Engineering (124 citations), Endocrinology (13 citations) and Aquatic Science (15 citations). Wanli Yan has collaborated with scholars based in China and Canada. Frequent co-authors include Mingsheng Lyu, Shujun Wang, Lide Gu, Wei Ren, Le Liu, Wen Xu, Ruanhong Cai, Yaowei Fang, Juewen Liu and Bin He. Their work appears in journals such as International Journal of Molecular Sciences, Marine Drugs, Analytical Biochemistry, Helicobacter and European Journal of Medicinal Chemistry.

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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