Yuhui Yan

1.5k citations
28 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Yuhui Yan

25 papers receiving 1.1k citations

Yuhui Yan's Hit Papers

CAFs secreted exosomes promote metastasis and chemotherapy resistance by enhancing cell stemness and epithelial-mesenchymal transition in colorectal cancer 2019 · 588 citations
5880+2+4Years since publication100200300400500

Peers

Yuhui Yan
Comparison fields: 5 of 87
  • Cancer Research 484
  • Developmental Neuroscience 66
  • Molecular Biology 713
  • Oncology 219
  • Neurology 63
Replace Tingting Zheng with:
Tingting Zheng China
Jinxia Hu China
Yanfeng Xu China
Liquan Wu China
Lei Liang China
Zixiang Cong China
Soo Kyung Kang South Korea
Yun Sil Lee South Korea
Yuhui Yan relative to Tingting Zheng China Tingting Zheng's profile →
Citations per field
00.5×1.5×2.2×
Tingting Zheng · 1×
Citations per year

Countries citing papers authored by Yuhui Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuhui Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuhui Yan, 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 Yuhui Yan Line = papers co-authored together Yuhui Yan 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
CAFs secreted exosomes promote metastasis and chemotherapy resistance by enhancing cell stemness and epithelial-mesenchymal transition in colorectal cancer
Hit paper breakdown →
2019588
2 201681
3 201649
4 201548
5 201635
6 201733
7 201632
8 201731
9 201631
10 201630
11 201723
12 202023
13 201623
14 202320
15 202017
16 202316
17 20235
18 20174
19 20164
20 20233

About Yuhui Yan

Yuhui Yan is a scholar working on Molecular Biology, Developmental Neuroscience, Genetics, Oncology and Plant Science, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Mesenchymal stem cell research (4 papers), Alzheimer's disease research and treatments (3 papers), Plant chemical constituents analysis (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Cancer Research (484 citations), Developmental Neuroscience (66 citations), Molecular Biology (713 citations), Oncology (219 citations) and Neurology (63 citations). Yuhui Yan has collaborated with scholars based in China, United Kingdom and Poland. Frequent co-authors include Zhao‐Chong Zeng, Liang Li, Yanqing Ding, Fangfang Wang, Fuyao Song, Yingke Liang, Wenting Liao, Xiao-Liang Lan, Xiaoxia Zhu and Wei Wang. Their work appears in journals such as Journal of Molecular Neuroscience, Clinical & Translational Oncology, Neurochemical Research, Phytotherapy Research and Journal of Biomedical Nanotechnology.

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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