Yuemei Jin

688 citations
18 papers · 442 · h-index 11

Impact in

Papers in

    • Epigenetics and DNA Methylation 2
    • Histone Deacetylase Inhibitors Research 2
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 2
    • Cancer Genomics and Diagnostics 1

Yuemei Jin

18 papers receiving 438 citations

Peers

Yuemei Jin
Comparison fields: 5 of 68
  • Cancer Research 164
  • Obstetrics and Gynecology 39
  • Molecular Biology 292
  • Oncology 68
  • Reproductive Medicine 21
Replace Marjaneh Farazestanian with:
Marjaneh Farazestanian Iran
Mingbo Cai China
Tomoko Kashiyama Japan
Wenzhi Li China
Mingzhu Bai China
Xiugui Sheng China
Samina Dongol China
Yongxiang Yin China
Yantao Cai China
Timothy P. Gilliam United States
Yuemei Jin relative to Marjaneh Farazestanian Iran Marjaneh Farazestanian's profile →
Citations per field
00.5×3.5×
Marjaneh Farazestanian · 1×
Citations per year

Countries citing papers authored by Yuemei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yuemei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202092
2 201356
3 201349
4 201941
5 201840
6 201738
7 202029
8 202026
9 202120
10 201217
11 201811
12
MIR-92 stimulates VEGF by inhibiting von Hippel-Lindau gene product in epithelial ovarian cancer.
20179
13 20166
14 20243
15 20072
16 20251
17 20251
18 20211

About Yuemei Jin

Yuemei Jin is a scholar working on Molecular Biology, Cancer Research, Immunology, Pathology and Forensic Medicine and Oncology, having authored 18 papers that have together received 442 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Land Use and Ecosystem Services (2 papers), Immune cells in cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Histone Deacetylase Inhibitors Research (2 papers), MicroRNA in disease regulation (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (164 citations), Obstetrics and Gynecology (39 citations), Molecular Biology (292 citations), Oncology (68 citations) and Reproductive Medicine (21 citations). Yuemei Jin has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Tianmin Xu, Ling Wang, Fei Wu, Shanshan Liu, Li Fu, Fengjun Guo, Yan Zha, Yichao Wang, Manhua Cui and Manhua Cui. Their work appears in journals such as Water, PLoS ONE, Frontiers in Marine Science, Experimental Cell Research and Tumor Biology.

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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