Min Fei

1.5k citations
53 papers · 1.2k · h-index 19

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • Immunotoxicology and immune responses

Papers in

    • Cancer-related Molecular Pathways 5
    • Multiple Myeloma Research and Treatments 3
    • Blood Coagulation and Thrombosis Mechanisms 2

Min Fei

51 papers receiving 1.2k citations

Peers

Min Fei
Comparison fields: 5 of 95
  • Oncology 195
  • Immunology 122
  • Cancer Research 68
  • Health, Toxicology and Mutagenesis 70
  • Aging 8
Replace Swati Sharma Bhasin with:
Swati Sharma Bhasin United States
Daniel Lamp Germany
Melissa A. Roberts United States
Alexander M. Minikes United States
Qun Chen China
Pingping Chen China
Wei Cui China
Anna Czajka United Kingdom
Jiashuo Zheng China
Deguang Liang United States
Min Fei relative to Swati Sharma Bhasin United States Swati Sharma Bhasin's profile →
Citations per field
00.5×2×4×6×7.9×
Swati Sharma Bhasin · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011121
2 201092
3 202288
4 200969
5 201459
6 201154
7 200852
8 202148
9 202142
10 201341
11 202036
12 201234
13 201029
14 202127
15 202226
16 201225
17 201223
18 202023
19 201922
20 200718

About Min Fei

Min Fei is a scholar working on Oncology, Hematology, Immunology, Pathology and Forensic Medicine and Health, Toxicology and Mutagenesis, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Spinal Cord Injury Research (4 papers), Dementia and Cognitive Impairment Research (3 papers), FOXO transcription factor regulation (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Multiple Myeloma Research and Treatments (3 papers), T-cell and B-cell Immunology (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Oncology (195 citations), Immunology (122 citations), Cancer Research (68 citations), Health, Toxicology and Mutagenesis (70 citations) and Aging (8 citations). Min Fei has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Rong Wang, Jun Guo, Daiwei Wan, Chun Ho Cheng, Songbing He, Dechun Li, Aiguo Shen, Yugang Wu, Dingcheng Zheng and Yueming Zhao. Their work appears in journals such as International Journal of Molecular Sciences, BMC Cardiovascular Disorders, Medical Oncology, Frontiers in Psychiatry and Cellular and Molecular Neurobiology.

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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