Junmei Ye

702 citations
27 papers · 431 · h-index 14

Impact in

Papers in

Junmei Ye

26 papers receiving 424 citations

Peers

Junmei Ye
Comparison fields: 5 of 77
  • Geriatrics and Gerontology 34
  • Cardiology and Cardiovascular Medicine 81
  • Molecular Biology 223
  • Cancer Research 47
  • Physiology 75
Replace Harsha Nagar with:
Harsha Nagar South Korea
Yuanyuan Tie China
Xiaowen Wang China
Qinqiang Long China
Minglin Pan China
Xue-Fen Pang China
Yongli Zhan China
Ruli Li China
Junmei Ye relative to Harsha Nagar South Korea Harsha Nagar's profile →
Citations per field
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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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201746
2 201944
3 201734
4 201830
5 201128
6 201725
7 201322
8 201722
9 202321
10 200916
11 202116
12 202215
13 201215
14 202014
15 202213
16 201713
17 202310
18 201710
19
Paeonol inhibits the proliferation of human colorectal carcinoma cells and synergic with chemotherapeutic agents.
20078
20 20237

About Junmei Ye

Junmei Ye is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Immunology and Pharmacology, having authored 27 papers that have together received 431 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Sirtuins and Resveratrol in Medicine (4 papers), Metabolism, Diabetes, and Cancer (3 papers), interferon and immune responses (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Signaling Pathways in Disease (2 papers), Protein Degradation and Inhibitors (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Geriatrics and Gerontology (34 citations), Cardiology and Cardiovascular Medicine (81 citations), Molecular Biology (223 citations), Cancer Research (47 citations) and Physiology (75 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, Joan X. Comella, Miao Zhang, Zhe Li, Marta Llovera and Dandan Chen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Clinical Science, Life Sciences, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and International Journal of Molecular Sciences.

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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