Ge Yu

524 citations
22 papers · 434 · h-index 10

Impact in

Papers in

Ge Yu

20 papers receiving 431 citations

Peers

Ge Yu
Comparison fields: 5 of 59
  • Cancer Research 132
  • Internal Medicine 11
  • Molecular Biology 239
  • Pathology and Forensic Medicine 50
  • Oncology 70
Replace Ivana Fridrichová with:
Ivana Fridrichová Slovakia
Minjia Sheng China
Deyuan Fu China
Akihiro Kitaoka Japan
K. Hoekman Netherlands
Akashi Ikubo Japan
Jolanta Szelachowska Poland
Li-Ru He China
Haruhisa Kitano Japan
Lorenza Maltese Italy
Ge Yu relative to Ivana Fridrichová Slovakia Ivana Fridrichová's profile →
Citations per field
00.5×1.6×
Ivana Fridrichová · 1×
Citations per year

Countries citing papers authored by Ge Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ge Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201179
2 201060
3 201355
4 201344
5 201142
6 201037
7 201233
8 201432
9 201121
10 202010
11 20229
12 20123
13 20242
14 20231
15
A Factor Analysis Model for Rapid Evaluation of the Semen Quality of Fertile Men in China
20221
16 20251
17
[Effects of simulated CO2 pneumoperitoneum upon function of peritoneal mesothelial cells and adherence to gastric cancer cells].
20101
18
[Connexin 43 expression in intraperitoneal free gastric cancer cells in patients with gastric cancer].
20101
19 20241
20 20191

About Ge Yu

Ge Yu is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Reproductive Medicine, having authored 22 papers that have together received 434 indexed citations. Recurring topics across this work include Heat shock proteins research (2 papers), Sperm and Testicular Function (2 papers), Peptidase Inhibition and Analysis (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), MicroRNA in disease regulation (2 papers), Connexins and lens biology (2 papers), Autophagy in Disease and Therapy (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Cancer Research (132 citations), Internal Medicine (11 citations), Molecular Biology (239 citations), Pathology and Forensic Medicine (50 citations) and Oncology (70 citations). Ge Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhihong Peng, Feng Qian, Jing Wang, Yuan‐lian Wan, Pei-wu Yu, Bo Tang, Jianqiang Tang, Shanjun Huang, Tao Wu and Jing Zhu. Their work appears in journals such as Journal of Surgical Oncology, Molecular and Cellular Biochemistry, Cancer Letters, Frontiers in Physiology and International Journal of Gynecological Cancer.

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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