Yan Fu

1.3k citations
50 papers · 994 · h-index 19

Impact in

  • Oncology top 5%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 7
    • Plant Reproductive Biology 4
    • DNA Repair Mechanisms 3

Yan Fu

49 papers receiving 983 citations

Peers

Yan Fu
Comparison fields: 5 of 93
  • Oncology 499
  • Cancer Research 208
  • Otorhinolaryngology 59
  • Pulmonary and Respiratory Medicine 279
  • Hepatology 65
Replace Feng Luo with:
Feng Luo China
Yongjie Shui China
Tomoyuki Nakagiri Japan
Klaus Prenzel Germany
Eun Sook Nam South Korea
Raquel Catarino Portugal
Kazuo Okadome Japan
Rachele Del Sordo Italy
Madhabananda Kar India
Olli Helminen Finland
Yan Fu relative to Feng Luo China Feng Luo's profile →
Citations per field
00.5×1.5×2.3×
Feng Luo · 1×
Citations per year

Countries citing papers authored by Yan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018127
2 201693
3 201374
4 201652
5 202152
6 201238
7 201638
8
Sunitinib for patients with locally advanced or distantly metastatic dermatofibrosarcoma protuberans but resistant to imatinib.
201534
9 201629
10 201027
11 201225
12 201525
13 202324
14 201023
15 201723
16 201623
17 201922
18 201521
19 201121
20 201918

About Yan Fu

Yan Fu is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 994 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (7 papers), Cancer, Lipids, and Metabolism (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Plant Reproductive Biology (4 papers), Head and Neck Cancer Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Oncology (499 citations), Cancer Research (208 citations), Otorhinolaryngology (59 citations), Pulmonary and Respiratory Medicine (279 citations) and Hepatology (65 citations). Yan Fu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Weidong Tong, Fan Li, Heling Wang, Qi Su, Changjun Yin, Chao Qin, Hui Zhao, Nan Du, Ankui Yang and Xiaosong Li. Their work appears in journals such as Medicine, Scientific Reports, Molecular Carcinogenesis, PLoS ONE and Journal of the American Society for Horticultural Science.

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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