Yi Sheng

2.5k citations
59 papers · 1.9k · h-index 20

Impact in

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

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 11
    • Ubiquitin and proteasome pathways 7
    • Mitochondrial Function and Pathology 3
    • Photosynthetic Processes and Mechanisms 3

Yi Sheng

54 papers receiving 1.9k citations

Peers

Yi Sheng
Comparison fields: 5 of 115
  • Aging 76
  • Oncology 561
  • Cell Biology 276
  • Molecular Biology 1.1k
  • Bioengineering 55
Replace Natalia Gomez‐Ospina with:
Natalia Gomez‐Ospina United States
Lucio Comai United States
Satya Khuon United States
Antonella Calogero Italy
Xinyu Chen China
Chaochen Wang China
Sheng Ding United States
Cheng‐Yu Lee United States
Paolo Macchi Italy
Caroline L. Johnston United Kingdom
Yi Sheng relative to Natalia Gomez‐Ospina United States Natalia Gomez‐Ospina's profile →
Citations per field
00.5×2×3×4.2×
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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005302
2 2006264
3 2003154
4 2015139
5 202295
6 200592
7 200891
8 201161
9 201852
10 200749
11 201348
12 201047
13 201840
14 201438
15 201532
16 201932
17 201627
18 201422
19 202222
20 202321

About Yi Sheng

Yi Sheng is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Clinical Biochemistry and Oncology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Ubiquitin and proteasome pathways (7 papers), Cancer-related Molecular Pathways (5 papers), Circadian rhythm and melatonin (4 papers), Mitochondrial Function and Pathology (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Enzyme Structure and Function (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Aging (76 citations), Oncology (561 citations), Cell Biology (276 citations), Molecular Biology (1.1k citations) and Bioengineering (55 citations). Yi Sheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Cheryl Arrowsmith, Lori Frappier, Feroz Sarkari, V. Saridakis, Tin Nguyen, Shili Duan, Weontae Lee, Lijun Kang, Kathy Shire and Jack C. C. Liao. Their work appears in journals such as Nature Structural & Molecular Biology, Journal of Cellular Physiology, Biochemistry, Journal of Biological Chemistry and Sensors and Actuators B Chemical.

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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