Taoyu Chen

730 citations
33 papers · 441 · h-index 12

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • Lipid metabolism and biosynthesis

Papers in

    • RNA Research and Splicing 7
    • RNA modifications and cancer 4
    • RNA and protein synthesis mechanisms 3
    • Protein Structure and Dynamics 2
    • Immune Cell Function and Interaction 2

Taoyu Chen

26 papers receiving 439 citations

Peers

Taoyu Chen
Comparison fields: 5 of 74
  • Molecular Biology 298
  • Biochemistry 28
  • Molecular Medicine 17
  • Cancer Research 50
  • Infectious Diseases 46
Replace Madhumita Bhattacharyya with:
Madhumita Bhattacharyya Germany
Mehdi Amiri Canada
Yan G. Fulcher United States
Anannya Bhattacharya United States
Isabelle Harvey Canada
Juyeun Lee United States
Kana Asano Japan
Stephanie Deborah Fritsch Austria
Jianqiang Guo China
Taoyu Chen relative to Madhumita Bhattacharyya Germany Madhumita Bhattacharyya's profile →
Citations per field
00.5×3.8×
Madhumita Bhattacharyya · 1×
Citations per year

Countries citing papers authored by Taoyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Taoyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Taoyu Chen, 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 Taoyu Chen Line = papers co-authored together Taoyu Chen 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 202273
2 201750
3 202247
4 201845
5 202243
6 202142
7 202130
8 202319
9 202219
10 202316
11 202414
12 201711
13 202410
14 20233
15 20213
16 20242
17 20232
18 20242
19 20212
20 20222

About Taoyu Chen

Taoyu Chen is a scholar working on Molecular Biology, Immunology, Microbiology, Surgery and Molecular Medicine, having authored 33 papers that have together received 441 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (4 papers), Microbial infections and disease research (3 papers), Antibiotic Resistance in Bacteria (3 papers), RNA and protein synthesis mechanisms (3 papers), Lipid metabolism and biosynthesis (2 papers), Protein Structure and Dynamics (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Molecular Biology (298 citations), Biochemistry (28 citations), Molecular Medicine (17 citations), Cancer Research (50 citations) and Infectious Diseases (46 citations). Taoyu Chen has collaborated with scholars based in China, Montenegro and United States. Frequent co-authors include Tingting Li, Chao Hou, Boyan Shen, Chunyu Yu, Zhaoming Chen, Minglei Shi, Xueyi Liang, Pilong Li, Liang Wang and Yaoyao Hou. Their work appears in journals such as International Immunopharmacology, Animals, Genome biology, Genomics Proteomics & Bioinformatics and PLoS ONE.

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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