Junmei Ye

724 citations
28 papers · 452 · h-index 15

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Protein Degradation and Inhibitors 2
    • Genomics, phytochemicals, and oxidative stress 2
    • Adipose Tissue and Metabolism 5

Junmei Ye

27 papers receiving 447 citations

Peers

Junmei Ye
Comparison fields: 5 of 77
  • Geriatrics and Gerontology 33
  • Cardiology and Cardiovascular Medicine 66
  • Molecular Biology 201
  • Physiology 69
  • Cancer Research 39
Replace Harsha Nagar with:
Harsha Nagar South Korea
Yuanyuan Tie China
Xue-Fen Pang China
Anthony Maltagliati United States
Minglin Pan China
Xiao Han China
Rena Pollack Israel
Jiankai Zhong China
Xuexue Zhu China
Junmei Ye relative to Harsha Nagar South Korea Harsha Nagar's profile →
Citations per field
00.5×1.5×2.1×
Harsha Nagar · 1×
Citations per year

Countries citing papers authored by Junmei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Junmei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201745
2 201945
3 201735
4 201834
5 201131
6 201725
7 202324
8 201723
9 201322
10 202116
11 200916
12 202216
13 201215
14 202014
15 202214
16 201713
17 202312
18 201710
19 20078
20 20237

About Junmei Ye

Junmei Ye is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Immunology, having authored 28 papers that have together received 452 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Metabolism, Diabetes, and Cancer (3 papers), interferon and immune responses (3 papers), Protein Degradation and Inhibitors (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Traditional Chinese Medicine Analysis (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Geriatrics and Gerontology (33 citations), Cardiology and Cardiovascular Medicine (66 citations), Molecular Biology (201 citations), Physiology (69 citations) and Cancer Research (39 citations). Junmei Ye has collaborated with scholars based in China, Spain and United Kingdom. Frequent co-authors include Yubin Zhang, Daniel Sanchı́s, Fangrong Yan, Ruiyan Li, Liang Jin, Zhe Li, Miao Zhang, Joan X. Comella, Dandan Chen and Marta Llovera. Their work appears in journals such as Biochemical and Biophysical Research Communications, Clinical Science, Life Sciences, International Journal of Molecular Sciences and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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