Fangmeng Fu

1.1k citations
66 papers · 744 indexed · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • Breast Cancer Treatment Studies
  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Breast Cancer Treatment Studies 20
    • Cancer-related molecular mechanisms research 5
    • Advanced Fluorescence Microscopy Techniques 9

Fangmeng Fu

61 papers receiving 738 citations

Peers

Fangmeng Fu
Comparison fields: 5 of 89
  • Cancer Research 286
  • Biophysics 58
  • Oncology 211
  • Reproductive Medicine 37
  • Molecular Biology 293
Replace Philipp Jurmeister with:
Philipp Jurmeister Germany
Vanda M. Stepanek United States
Ramona Erber Germany
Alexander H. R. Varey Australia
Iris Tischoff Germany
Claudia Felici Italy
Samantha Perakis Austria
Enrico Berrino Italy
Shoji Oura Japan
Silvia Varricchio Italy
Fangmeng Fu relative to Philipp Jurmeister Germany Philipp Jurmeister's profile →
Citations per field
00.5×4.1×
Philipp Jurmeister · 1×
Citations per year

Countries citing papers authored by Fangmeng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Fangmeng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20243
5 20243
6 20241
7 20238
8 20233
9 202237
10 20221
11 20214
12 20206
13 202026
14 202012
15 202014
16 201731
17
[Analysis of prognostic parameters in patients with breast cancer of size smaller than or equal to 2 cm].
20152
18 20156
19 201316
20 20138

About Fangmeng Fu

Fangmeng Fu is a scholar working on Cancer Research, Biophysics, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 744 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (20 papers), Photoacoustic and Ultrasonic Imaging (10 papers), Breast Lesions and Carcinomas (10 papers), Advanced Fluorescence Microscopy Techniques (9 papers), HER2/EGFR in Cancer Research (6 papers), Advanced Breast Cancer Therapies (6 papers), Cancer Risks and Factors (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (286 citations), Biophysics (58 citations), Oncology (211 citations), Reproductive Medicine (37 citations) and Molecular Biology (293 citations). Fangmeng Fu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Chuan Wang, Yuxiang Lin, Meng Huang, Wenhui Guo, Minyan Chen, Chuan Wang, Jianxin Chen, Peidong Yang, Deyong Kang and Lianhuang Li. Their work appears in journals such as Oncotarget, BMC Cancer, Breast Cancer Research and Treatment, Scientific Reports and Frontiers in Oncology.

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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