Feng Pan

1.8k citations
57 papers · 1.2k indexed · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

Feng Pan

56 papers receiving 1.2k citations

Peers

Feng Pan
Comparison fields: 5 of 109
  • Cancer Research 323
  • Molecular Biology 728
  • Immunology and Allergy 48
  • Oncology 192
  • Cell Biology 94
Replace Jungsul Lee with:
Jungsul Lee South Korea
Salvatore Salzano Italy
Anatoly Samoylenko Finland
Mustapha Kandouz United States
Shengbing Liu China
Qiong Shi China
Caiping Chen China
Zhong‐Fei Shen China
Bao-Wei Wang Taiwan
Feng Pan relative to Jungsul Lee South Korea Jungsul Lee's profile →
Citations per field
00.5×1.5×
Jungsul Lee · 1×
Citations per year

Countries citing papers authored by Feng Pan

Since Specialization
Citations

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

Fields of papers citing papers by Feng Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201185
2 201867
3 201965
4 201061
5 200960
6 201957
7 201454
8 201844
9 201141
10 201741
11 201938
12
The activation of GPER inhibits cells proliferation, invasion and EMT of triple-negative breast cancer via CD151/miR-199a-3p bio-axis.
202036
13 201634
14 200933
15 201632
16 201031
17 201626
18 201925
19 201324
20 201123

About Feng Pan

Feng Pan is a scholar working on Immunology and Allergy, Cancer Research, Aging, Molecular Biology and Developmental Neuroscience, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (9 papers), RNA modifications and cancer (8 papers), Cell Adhesion Molecules Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Mesenchymal stem cell research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (323 citations), Molecular Biology (728 citations), Immunology and Allergy (48 citations), Oncology (192 citations) and Cell Biology (94 citations). Feng Pan has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Wei Gu, Houjie Liang, En‐Min Li, Li‐Yan Xu, Robert H. Singer, Ganfeng Xie, Yang Sun, Wei Yi, Erhe Gao and Yanzhen Tan. Their work appears in journals such as Cell Death and Disease, BioMed Research International, Cancer Cell International, Clinical & Translational Oncology and Clinical Cancer 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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