Xiaomin Fu

1.1k citations
40 papers · 738 · h-index 16

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 5
    • Bone Metabolism and Diseases 5
    • RNA modifications and cancer 3
    • Cancer Immunotherapy and Biomarkers 8

Xiaomin Fu

39 papers receiving 726 citations

Peers

Xiaomin Fu
Comparison fields: 5 of 99
  • Electrochemistry 72
  • Cancer Research 85
  • Molecular Biology 379
  • Oncology 147
  • Orthopedics and Sports Medicine 41
Replace Jae Min Jung with:
Jae Min Jung South Korea
Xinyu Jiang China
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Xiaomin Fu relative to Jae Min Jung South Korea Jae Min Jung's profile →
Citations per field
00.5×1.5×2.4×
Jae Min Jung · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201689
2 201853
3 201751
4 201745
5 201744
6 201943
7 201539
8 201938
9 201832
10
Long noncoding RNA CNALPTC1 promotes cell proliferation and migration of papillary thyroid cancer via sponging miR-30 family.
201832
11 201128
12 202021
13 202018
14 201918
15 201817
16 201716
17 202314
18 201914
19 202113
20 201813

About Xiaomin Fu

Xiaomin Fu is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 738 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Advanced biosensing and bioanalysis techniques (5 papers), Bone Metabolism and Diseases (5 papers), Electrochemical sensors and biosensors (4 papers), Conducting polymers and applications (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Electrochemistry (72 citations), Cancer Research (85 citations), Molecular Biology (379 citations), Oncology (147 citations) and Orthopedics and Sports Medicine (41 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, Ying Xue, Na Wang, Jianming Hou and Lingdi Zhao. Their work appears in journals such as Frontiers in Immunology, Sensors and Actuators B Chemical, International Immunopharmacology, Journal of Clinical Oncology and Biochemical and Biophysical Research Communications.

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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