Fengzhou Li

797 citations
26 papers · 542 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis

Papers in

Fengzhou Li

26 papers receiving 539 citations

Peers

Fengzhou Li
Comparison fields: 5 of 81
  • Cancer Research 149
  • Oncology 157
  • Immunology 93
  • Molecular Biology 302
  • Pulmonary and Respiratory Medicine 112
Replace Xinxin Bu with:
Xinxin Bu China
Hongwei Tang China
Xiuming Liang China
Junhua Zhang China
Geetpriya Kaur India
Vui King Vincent–Chong Malaysia
Elisa Tavanti Italy
Qingyang Gu China
Yan You China
Fengzhou Li relative to Xinxin Bu China Xinxin Bu's profile →
Citations per field
00.5×3.3×
Xinxin Bu · 1×
Citations per year

Countries citing papers authored by Fengzhou Li

Since Specialization
Citations

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

Fields of papers citing papers by Fengzhou Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020120
2 202154
3 202049
4
α1,6-Fucosyltransferase (FUT8) regulates the cancer-promoting capacity of cancer-associated fibroblasts (CAFs) by modifying EGFR core fucosylation (CF) in non-small cell lung cancer (NSCLC).
202034
5 202033
6 201631
7 201729
8 201928
9 201922
10 202318
11 202118
12 202116
13 201916
14 201914
15 202111
16 201910
17 20209
18 20187
19 20235
20 20175

About Fengzhou Li

Fengzhou Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Epidemiology, having authored 26 papers that have together received 542 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Cancer Cells and Metastasis (3 papers), RNA Research and Splicing (3 papers), Dental Radiography and Imaging (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (149 citations), Oncology (157 citations), Immunology (93 citations), Molecular Biology (302 citations) and Pulmonary and Respiratory Medicine (112 citations). Fengzhou Li has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Chundong Gu, Lei Fang, Shilei Zhao, Wendan Yu, Wei Guo, Wuguo Deng, Yixiang Zhang, Songyu Li, Qingkai Yang and Zhuoshi Li. Their work appears in journals such as BioMed Research International, Cell Death and Disease, Human Cell, Clinical Oral Investigations and The International Journal of Biochemistry & Cell 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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