Yi Sheng

2.5k citations
56 papers · 1.8k · h-index 20

Impact in

  • Aging top 5%
  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Viral-associated cancers and disorders

Papers in

    • Ubiquitin and proteasome pathways 6
    • Biochemical and Molecular Research 3
    • Photosynthetic Processes and Mechanisms 3
    • Genetics, Aging, and Longevity in Model Organisms 11

Yi Sheng

52 papers receiving 1.8k citations

Peers

Yi Sheng
Comparison fields: 5 of 114
  • Aging 74
  • Oncology 509
  • Molecular Biology 1.0k
  • Cell Biology 241
  • Bioengineering 55
Replace Natalia Gomez‐Ospina with:
Natalia Gomez‐Ospina United States
Paul Ko Ferrigno United Kingdom
Jost Vielmetter United States
Satya Khuon United States
Lucio Comai United States
Cheng‐Yu Lee United States
Sheng Ding United States
Paolo Macchi Italy
Mary N. Teruel United States
Yi Sheng relative to Natalia Gomez‐Ospina United States Natalia Gomez‐Ospina's profile →
Citations per field
00.5×4.2×
Natalia Gomez‐Ospina · 1×
Citations per year

Countries citing papers authored by Yi Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Yi Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005300
2 2006257
3 2003155
4 2015133
5 200890
6 202288
7 200588
8 201851
9 200750
10 201347
11 201046
12 201838
13 201438
14 200037
15 201933
16 201624
17 201423
18 202320
19 202219
20 202019

About Yi Sheng

Yi Sheng is a scholar working on Molecular Biology, Aging, Biomedical Engineering, Oncology and Materials Chemistry, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Ubiquitin and proteasome pathways (6 papers), Enzyme Structure and Function (4 papers), Cancer-related Molecular Pathways (4 papers), Circadian rhythm and melatonin (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Biochemical and Molecular Research (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Aging (74 citations), Oncology (509 citations), Molecular Biology (1.0k citations), Cell Biology (241 citations) and Bioengineering (55 citations). Yi Sheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include C.H. Arrowsmith, Lori Frappier, Feroz Sarkari, V. Saridakis, Tin Nguyen, Shili Duan, Weontae Lee, Kathy Shire, Lijun Kang and A.M. Edwards. Their work appears in journals such as Nature Structural & Molecular Biology, Sensors and Actuators B Chemical, Biochemistry, Journal of Molecular Biology and Journal of Cellular Physiology.

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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