Lin Cui

2.8k citations
80 papers · 2.2k indexed · h-index 28

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

    • Cancer, Hypoxia, and Metabolism 6
    • MicroRNA in disease regulation 5
    • Pancreatic and Hepatic Oncology Research 14
    • Cancer Cells and Metastasis 11

Lin Cui

79 papers receiving 2.2k citations

Peers

Lin Cui
Comparison fields: 5 of 111
  • Cancer Research 679
  • Oncology 921
  • Molecular Biology 1.1k
  • Immunology 329
  • Biotechnology 80
Replace Yulong Chen with:
Yulong Chen China
Fan Yao China
Masako Nakanishi United States
Hoi Young Lee South Korea
Patrick Viatour United States
Yurong Song China
Qizhi Wang China
Alexander Kirschenbaum United States
Stan Lightfoot United States
Yoko Matsuda Japan
Lin Cui relative to Yulong Chen China Yulong Chen's profile →
Citations per field
00.5×1.5×2.2×
Yulong Chen · 1×
Citations per year

Countries citing papers authored by Lin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Lin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013173
2 2010149
3 2011123
4 201789
5 201088
6 201288
7 201775
8 200073
9 200962
10 200756
11 201053
12 200048
13 201645
14 201242
15 201240
16 199939
17
Validation of treatment efficacy of a computer-assisted program for breast cancer patients receiving postoperative adjuvant chemotherapy.
201037
18 201536
19 202035
20 199333

About Lin Cui

Lin Cui is a scholar working on Cancer Research, Oncology, Biotechnology, Internal Medicine and Molecular Biology, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (14 papers), Cancer Cells and Metastasis (11 papers), Virus-based gene therapy research (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Cancer Research and Treatments (5 papers), MicroRNA in disease regulation (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (679 citations), Oncology (921 citations), Molecular Biology (1.1k citations), Immunology (329 citations) and Biotechnology (80 citations). Lin Cui has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masao Tanaka, Kenoki Ohuchida, Kazuhiro Mizumoto, Naoki Ikenaga, Hayato Fujita, Kohei Nakata, Tadashi Kayashima, Shingo Kozono, Tomoyuki Shirai and Takao Ohtsuka. Their work appears in journals such as Cancer Letters, Cancer Science, PLoS ONE, Gastroenterology and The Prostate.

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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