Feng Yuan

452 citations
20 papers · 271 · h-index 7

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 4
    • RNA Research and Splicing 4
    • Glycosylation and Glycoproteins Research 2
    • Cellular transport and secretion 4

Feng Yuan

17 papers receiving 268 citations

Peers

Feng Yuan
Comparison fields: 5 of 64
  • Cell Biology 67
  • Biochemistry 25
  • Molecular Biology 206
  • Biotechnology 8
  • Biomaterials 12
Replace Céline Bottier with:
Céline Bottier France
Miranda L. Jacobs United States
Ankit Walia United Kingdom
Shingo Nozaki Japan
José Serate United States
Alain Chanson Switzerland
Lydie Vamparys France
Felix Šimkovic United Kingdom
Morgan Chabanon United States
D. Hirata Japan
Feng Yuan relative to Céline Bottier France Céline Bottier's profile →
Citations per field
00.5×
Céline Bottier · 1×
Citations per year

Countries citing papers authored by Feng Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2021143
2 202326
3 202324
4 201015
5 201913
6 202310
7 20249
8 20225
9 20114
10 20164
11 20114
12 20243
13 20133
14 20103
15 20133
16 20231
17 20251
18 20250
19 20210
20 20240

About Feng Yuan

Feng Yuan is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Biomedical Engineering and Civil and Structural Engineering, having authored 20 papers that have together received 271 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (4 papers), RNA Research and Splicing (4 papers), Cellular transport and secretion (4 papers), Acoustic Wave Resonator Technologies (2 papers), Bacteriophages and microbial interactions (2 papers), Lipid metabolism and biosynthesis (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Microwave Dielectric Ceramics Synthesis (2 papers). The work is most often cited by research in Cell Biology (67 citations), Biochemistry (25 citations), Molecular Biology (206 citations), Biotechnology (8 citations) and Biomaterials (12 citations). Feng Yuan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jeanne C. Stachowiak, Padmini Rangamani, Haleh Alimohamadi, Nicolas L. Fawzi, Kasey J. Day, Eileen M. Lafer, Liping Wang, Carl C. Hayden, Christopher T. Lee and Yohan Lee. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, International Journal of Pavement Engineering, Nature Communications and Soft Matter.

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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