Xiaomin Fu

1.1k citations
39 papers · 826 · h-index 17

Impact in

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 2
    • Lung Cancer Research Studies 2
    • Bone Metabolism and Diseases 5
    • Melanoma and MAPK Pathways 1

Xiaomin Fu

37 papers receiving 815 citations

Peers

Xiaomin Fu
Comparison fields: 5 of 52
  • Oncology 78
  • Cancer Research 41
  • Molecular Biology 179
  • Polymers and Plastics 28
  • Biomedical Engineering 60
Replace Hongyong Zhang with:
Hongyong Zhang United States
Yao Jin China
Jie Ma China
Guijin He China
Zhengsheng Liu China
Katherine Helen Smith United Kingdom
Cao Dai Phung South Korea
Eunji Jang South Korea
Lianhua Zhang China
Taoran Zhang China
Xiaomin Fu relative to Hongyong Zhang United States Hongyong Zhang's profile →
Citations per field
00.5×1.5×2×2.4×
Hongyong Zhang · 1×
Citations per year

Countries citing papers authored by Xiaomin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201691
2 202161
3 201857
4 201755
5 201748
6 201745
7 201944
8 201942
9 201541
10 201833
11
Long noncoding RNA CNALPTC1 promotes cell proliferation and migration of papillary thyroid cancer via sponging miR-30 family.
201832
12 201129
13 202023
14 201919
15 202018
16 202318
17 201817
18 201716
19 201915
20 202114

About Xiaomin Fu

Xiaomin Fu is a scholar working on Oncology, Molecular Biology, Cancer Research, Electrical and Electronic Engineering and Obstetrics and Gynecology, having authored 39 papers that have together received 826 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Electrochemical sensors and biosensors (4 papers), Esophageal Cancer Research and Treatment (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Catalysis for Biomass Conversion (2 papers), Lung Cancer Research Studies (2 papers), Cancer-related molecular mechanisms research (2 papers) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Oncology (78 citations), Cancer Research (41 citations), Molecular Biology (179 citations), Polymers and Plastics (28 citations) and Biomedical Engineering (60 citations). Xiaomin Fu has collaborated with scholars based in China and United States. Frequent co-authors include Ruo Yuan, Xingrong Tan, Shihong Chen, Dianshan Ke, Shihong Chen, Yong Zhang, Quanli Gao, Ying Xue, Jianming Hou and Na Wang. Their work appears in journals such as Frontiers in Immunology, International Immunopharmacology, Sensors and Actuators B Chemical, Biochemical and Biophysical Research Communications 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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