Ying Wen

4.2k citations
96 papers · 3.3k indexed · h-index 32

Impact in

    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Microbial Natural Products and Biosynthesis

Papers in

Ying Wen

93 papers receiving 3.2k citations

Peers

Ying Wen
Comparison fields: 5 of 132
  • Cell Biology 695
  • Pharmacology 645
  • Molecular Biology 2.1k
  • Microbiology 18
  • Biotechnology 136
Replace George Gömöri with:
George Gömöri United States
L. Thim Denmark
Yongqing Liu China
E. Schiltz Germany
Marina V. Serebryakova Russia
Simon J. McGowan United Kingdom
Jeffrey C. Silva United States
James S. Norris United States
Tatsuya Maeda Japan
Lu Yu United Kingdom
Ying Wen relative to George Gömöri United States George Gömöri's profile →
Citations per field
00.5×50×107×
George Gömöri · 1×
Citations per year

Countries citing papers authored by Ying Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ying Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20249
4 20241
5 20246
6 20231
7 20233
8
Strategy for Avoiding Protein Corona Inhibition of Targeted Drug Delivery by Linking Recombinant Affibody Scaffold to Magnetosomes
202218
9 20225
10 202115
11 202129
12 202077
13 202010
14 201911
15 201817
16 201719
17 201011
18 200730
19 200723
20 200783

About Ying Wen

Ying Wen is a scholar working on Pharmacology, Microbiology, Molecular Biology, Cell Biology and Molecular Medicine, having authored 96 papers that have together received 3.3k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (41 papers), Genomics and Phylogenetic Studies (24 papers), Plant Disease Resistance and Genetics (16 papers), RNA Research and Splicing (9 papers), RNA modifications and cancer (7 papers), Microtubule and mitosis dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Plant-Microbe Interactions and Immunity (5 papers). The work is most often cited by research in Cell Biology (695 citations), Pharmacology (645 citations), Molecular Biology (2.1k citations), Microbiology (18 citations) and Biotechnology (136 citations). Ying Wen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhi Chen, Gregg G. Gundersen, Jilun Li, Yuan Song, A. Gregory Matera, Edward J. Morris, Jan Schmoranzer, Michael Chen, Christina H. Eng and Noemí Cabrera-Poch. Their work appears in journals such as Applied and Environmental Microbiology, Microbial Biotechnology, Applied Microbiology and Biotechnology, Frontiers in Microbiology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY 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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