Yunyu Shi

6.0k citations
191 papers · 4.0k indexed · h-index 36
    • RNA and protein synthesis mechanisms 45
    • RNA Research and Splicing 38
    • Genomics and Chromatin Dynamics 28
    • RNA modifications and cancer 28
    • Protein Structure and Dynamics 27
    • Ubiquitin and proteasome pathways 13
    • Cancer-related gene regulation 11
  • Genetics top 10%
  • Aging top 10%
    • Enzyme Structure and Function 24

Yunyu Shi

187 papers receiving 4.0k citations

Peers

Yunyu Shi
Comparison fields: 5 of 144
  • Molecular Biology 3.3k
  • Cell Biology 433
  • Cancer Research 178
  • Genetics 310
  • Aging 19
Replace J. Günter Grossmann with:
J. Günter Grossmann United Kingdom
Simone Lemeer Netherlands
Cyril Dominguez United Kingdom
Perttu Permi Finland
E.D. Lowe United Kingdom
F. Niesen United Kingdom
Keith P. Wilson United States
Anna R. Panchenko United States
Joseph A. Marsh United Kingdom
Zenon Grabarek United States
Yunyu Shi relative to J. Günter Grossmann United Kingdom J. Günter Grossmann's profile →
Citations per field
00.5×3.0×
J. Günter Grossmann · 1×
Citations per year

Countries citing papers authored by Yunyu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yunyu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202415
4 20242
5 20242
6 20242
7 202413
8 20232
9 20234
10 202211
11 201511
12 201431
13 201367
14 201265
15 201213
16 20102
17
Flotation of Oxidised Chalcopyrite
20102
18 20097
19
Effects of Particle Size and Density, and Turbulence on Flotation Recovery
20091
20 200730

About Yunyu Shi

Yunyu Shi is a scholar working on Molecular Biology, Aging and Cell Biology, having authored 191 papers that have together received 4.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (45 papers), RNA Research and Splicing (38 papers), Genomics and Chromatin Dynamics (28 papers), RNA modifications and cancer (28 papers), Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (24 papers), Ubiquitin and proteasome pathways (13 papers) and Cancer-related gene regulation (11 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Cell Biology (433 citations) and Cancer Research (178 citations). Yunyu Shi has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jihui Wu, Jiahai Zhang, Haiyan Liu, Fudong Li, Qingguo Gong, Zhiyong Zhang, Xuebiao Yao, Jiang Zhu, Chongyuan Wang and Hongda Huang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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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