Feifei Chen

557 citations
43 papers · 426 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Mesenchymal stem cell research

Papers in

    • Autophagy in Disease and Therapy 5
    • Acute Ischemic Stroke Management 4
    • Liver Disease Diagnosis and Treatment 3
    • Epigenetics and DNA Methylation 2
    • Signaling Pathways in Disease 2

Feifei Chen

37 papers receiving 424 citations

Peers

Feifei Chen
Comparison fields: 5 of 85
  • Cancer Research 70
  • Genetics 46
  • Hematology 49
  • Rehabilitation 20
  • Molecular Biology 162
Replace Daiana Giannini with:
Daiana Giannini Italy
Silvia Bilia Italy
Pezhman Mirshahi France
Kozue Uchio Japan
Hyun Kim South Korea
Mohamed Essameldin Abdelgawad Egypt
Qirong Zhou China
Xing Han China
Ruirong Xu China
Hongsong Fang China
Feifei Chen relative to Daiana Giannini Italy Daiana Giannini's profile →
Citations per field
00.5×1.5×2×2.5×
Daiana Giannini · 1×
Citations per year

Countries citing papers authored by Feifei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201853
2 201347
3 201436
4 201636
5 201833
6 202027
7 201526
8 201424
9 201620
10 201016
11 201114
12 202111
13 202010
14 20209
15 20129
16 20215
17 20225
18
[Effect and significance of Shenmai injection on value of vascular endothelial active factors of heart valve replacement patients].
20095
19 20245
20 20144

About Feifei Chen

Feifei Chen is a scholar working on Epidemiology, Molecular Biology, Oncology, Hematology and Genetics, having authored 43 papers that have together received 426 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Autophagy in Disease and Therapy (5 papers), Acute Ischemic Stroke Management (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Epigenetics and DNA Methylation (2 papers), Signaling Pathways in Disease (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Cancer Research (70 citations), Genetics (46 citations), Hematology (49 citations), Rehabilitation (20 citations) and Molecular Biology (162 citations). Feifei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peisheng Jin, Qiang Li, Junnian Zheng, Yuqing Zheng, Qiang Li, Mengxia Yu, Jing Liu, Dong‐Sheng Pei, Yanping Guo and Jie Jin. Their work appears in journals such as Oncotarget, PLoS ONE, Blood, Medicine and Biofuels Bioproducts and Biorefining.

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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