Yan Fu

1.3k citations
51 papers · 1.0k · h-index 20

Impact in

  • Oncology top 5%
    • Inflammatory Biomarkers in Disease Prognosis
    • Pancreatic and Hepatic Oncology Research
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Yan Fu

49 papers receiving 1.0k citations

Peers

Yan Fu
Comparison fields: 5 of 87
  • Oncology 423
  • Hepatology 63
  • Cancer Research 116
  • Pulmonary and Respiratory Medicine 205
  • Otorhinolaryngology 22
Replace Eun Sook Nam with:
Eun Sook Nam South Korea
Mărioara Cornianu Romania
Hitoshi Kameyama Japan
Kazuhiro Koikawa Japan
Erik Springer Germany
Eisuke Iwasaki Japan
Takashi Nishigami Japan
Madhabananda Kar India
Kenichi Hirabayashi Japan
Masao Tanaka Japan
Yan Fu relative to Eun Sook Nam South Korea Eun Sook Nam's profile →
Citations per field
00.5×1.5×2.3×
Eun Sook Nam · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018133
2 201693
3 201375
4 202154
5 201652
6 201238
7 201638
8
Sunitinib for patients with locally advanced or distantly metastatic dermatofibrosarcoma protuberans but resistant to imatinib.
201534
9 201629
10 202327
11 201027
12 201525
13 201225
14 201924
15 201024
16 201724
17 201623
18 201521
19 201121
20 201919

About Yan Fu

Yan Fu is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Plant Reproductive Biology (4 papers), Plant Physiology and Cultivation Studies (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Horticultural and Viticultural Research (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Oncology (423 citations), Hepatology (63 citations), Cancer Research (116 citations), Pulmonary and Respiratory Medicine (205 citations) and Otorhinolaryngology (22 citations). Yan Fu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Fan Li, Weidong Tong, Qi Su, Heling Wang, Changjun Yin, Chao Qin, Hui Zhao, Nan Du, Ankui Yang and Meilin Wang. Their work appears in journals such as Medicine, Molecular Carcinogenesis, PLoS ONE, Journal of the American Society for Horticultural Science and Scientific Reports.

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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