Yan Wan

720 citations
33 papers · 582 · h-index 12

Impact in

Papers in

Yan Wan

31 papers receiving 575 citations

Peers

Yan Wan
Comparison fields: 5 of 65
  • Catalysis 117
  • Process Chemistry and Technology 29
  • Renewable Energy, Sustainability and the Environment 143
  • Biomedical Engineering 270
  • Inorganic Chemistry 65
Replace Lifang Zhao with:
Lifang Zhao China
Majd Al‐Naji Germany
Heidi M. Pilath United States
Pooya Estifaee Iran
Munusamy Vijayaraj India
Ekaterina Kolobova Russia
Alain Perrard France
Huihui Luo China
Manishkumar S. Tiwari India
Yan Wan relative to Lifang Zhao China Lifang Zhao's profile →
Citations per field
00.5×1.5×2.2×
Lifang Zhao · 1×
Citations per year

Countries citing papers authored by Yan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021112
2 2020103
3 201690
4 201735
5 202128
6 202028
7 201924
8 202120
9 202117
10 202117
11 201915
12 201714
13 202011
14 20229
15 20217
16 20217
17 20235
18 20225
19 20205
20 20244

About Yan Wan

Yan Wan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Mechanical Engineering and Organic Chemistry, having authored 33 papers that have together received 582 indexed citations. Recurring topics across this work include Protein purification and stability (15 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Catalysis for Biomass Conversion (9 papers), Glycosylation and Glycoproteins Research (6 papers), Catalysis and Hydrodesulfurization Studies (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Mesoporous Materials and Catalysis (3 papers) and Recycling and Waste Management Techniques (2 papers). The work is most often cited by research in Catalysis (117 citations), Process Chemistry and Technology (29 citations), Renewable Energy, Sustainability and the Environment (143 citations), Biomedical Engineering (270 citations) and Inorganic Chemistry (65 citations). Yan Wan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jong‐Min Lee, P. Prabhu, Jingdong Lin, Yong Wang, Shaolong Wan, Wenda Hu, Yifeng Li, Jie Sun, Li Wang and Qiuxia Cai. Their work appears in journals such as Protein Expression and Purification, ACS Catalysis, ChemSusChem, Food Research International and SAE technical papers on CD-ROM/SAE technical paper series.

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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