Min Fei

1.5k citations
55 papers · 1.1k · h-index 20

Impact in

Papers in

    • FOXO transcription factor regulation 3
    • Genomics, phytochemicals, and oxidative stress 3
    • T-cell and B-cell Immunology 3

Min Fei

50 papers receiving 1.1k citations

Peers

Min Fei
Comparison fields: 5 of 128
  • Cancer Research 131
  • Immunology 182
  • Oncology 202
  • Biological Psychiatry 18
  • Developmental Neuroscience 30
Replace Na Xin with:
Na Xin China
Anna Czajka Poland
Athanassios Fragoulis Germany
Mahua Choudhury United States
Teresa Iantomasi Italy
Liqing Du China
Margaret C. Cam United States
Pingping Chen China
Hakan Akça Türkiye
Min Fei relative to Na Xin China Na Xin's profile →
Citations per field
00.5×1.5×1.8×
Na Xin · 1×
Citations per year

Countries citing papers authored by Min Fei

Since Specialization
Citations

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

Fields of papers citing papers by Min Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011115
2 201087
3 202279
4 200968
5 201453
6 200852
7 201151
8 202146
9 201341
10 202137
11 202037
12 201229
13 201025
14 202124
15 201224
16 201223
17 202223
18 202023
19 201920
20 200719

About Min Fei

Min Fei is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Spinal Cord Injury Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Multiple Myeloma Research and Treatments (3 papers), FOXO transcription factor regulation (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Cancer-related Molecular Pathways (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cancer Research (131 citations), Immunology (182 citations), Oncology (202 citations), Biological Psychiatry (18 citations) and Developmental Neuroscience (30 citations). Min Fei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jun Guo, Rong Wang, Daiwei Wan, Songbing He, Dechun Li, Aiguo Shen, Chun Cheng, Liang Wang, Yueming Zhao and Yugang Wu. Their work appears in journals such as BMC Cardiovascular Disorders, Biological Trace Element Research, Frontiers in Psychiatry, International Journal of Molecular Sciences and Neurochemical Research.

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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