Jun Sheng

818 citations
15 papers · 667 · h-index 11

Impact in

    • Ubiquitin and proteasome pathways
    • Cancer-related gene regulation
    • Protein Degradation and Inhibitors
    • Peptidase Inhibition and Analysis

Papers in

    • Ubiquitin and proteasome pathways 3
    • Enzyme Catalysis and Immobilization 2
    • Biochemical and Molecular Research 2
    • Enzyme function and inhibition 2

Jun Sheng

15 papers receiving 661 citations

Peers

Jun Sheng
Comparison fields: 5 of 84
  • Molecular Biology 480
  • Oncology 162
  • Aging 9
  • Cell Biology 82
  • Biotechnology 28
Replace Dong-Uk Kim with:
Dong-Uk Kim South Korea
M. Pabion France
Ana A. Kitazono United States
Agnieszka Pająk Canada
Renata TISI Italy
Maike A. Laussmann Ireland
Esther M. Rodriguez-Belmonte Spain
Peizhen Yang United States
Enrique Castaño Mexico
Jun Sheng relative to Dong-Uk Kim South Korea Dong-Uk Kim's profile →
Citations per field
00.5×1.5×2×2.3×
Dong-Uk Kim · 1×
Citations per year

Countries citing papers authored by Jun Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2005271
2 2003133
3 200666
4 200239
5 202231
6 202227
7 201820
8 199618
9 201116
10 201815
11 199715
12 19959
13 20133
14 20243
15 20251

About Jun Sheng

Jun Sheng is a scholar working on Aging, Molecular Biology, Oncology, Plant Science and Pharmacology, having authored 15 papers that have together received 667 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Ubiquitin and proteasome pathways (3 papers), Enzyme Catalysis and Immobilization (2 papers), Moringa oleifera research and applications (2 papers), Biochemical and Molecular Research (2 papers), Coffee research and impacts (2 papers), Biocrusts and Microbial Ecology (2 papers) and Enzyme function and inhibition (2 papers). The work is most often cited by research in Molecular Biology (480 citations), Oncology (162 citations), Aging (9 citations), Cell Biology (82 citations) and Biotechnology (28 citations). Jun Sheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Alexander J. Varshavsky, Ronggui Hu, Zhenming Xu, Terry T. Takahashi, Xin Qi, Ilia V. Davydov, Yong Tae Kwon, Takafumi Tasaki, Zanxian Xia and Youming Xie. Their work appears in journals such as Biochemistry, Nature, Molecular and Cellular Biology, Frontiers in Pharmacology and Food & Function.

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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