Jun Fen Fu

1.4k citations
62 papers · 983 · h-index 19

Impact in

Papers in

Jun Fen Fu

59 papers receiving 970 citations

Peers

Jun Fen Fu
Comparison fields: 5 of 90
  • Cancer Research 201
  • Immunology 117
  • Molecular Biology 365
  • Cell Biology 64
  • Aging 6
Replace Gabriella Bedekovicsne Gajdos with:
Gabriella Bedekovicsne Gajdos United States
Dil Afroze India
Giuseppina Federico Germany
Miriam Wankell Australia
Youan Liu Canada
Sang‐Ho Kwon United States
Qian Xu China
Chuanjiang Li China
Zahra Salehi Iran
Jun Fen Fu relative to Gabriella Bedekovicsne Gajdos United States Gabriella Bedekovicsne Gajdos's profile →
Citations per field
00.5×2×3.2×
Gabriella Bedekovicsne Gajdos · 1×
Citations per year

Countries citing papers authored by Jun Fen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Fen 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 Jun Fen Fu. The network helps show where Jun Fen Fu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201476
2 202266
3
LncRNA-LINC00152 down-regulated by miR-376c-3p restricts viability and promotes apoptosis of colorectal cancer cells.
201661
4 202147
5 201944
6 201341
7 201838
8 202134
9 201934
10 202031
11 201830
12 201129
13 200228
14 201326
15 202026
16 202026
17 201025
18 201624
19 201222
20 201817

About Jun Fen Fu

Jun Fen Fu is a scholar working on Cancer Research, Immunology, Molecular Biology, Infectious Diseases and Cell Biology, having authored 62 papers that have together received 983 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers), Lymphoma Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (3 papers), Plant Molecular Biology Research (2 papers), melanin and skin pigmentation (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (201 citations), Immunology (117 citations), Molecular Biology (365 citations), Cell Biology (64 citations) and Aging (6 citations). Jun Fen Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhijin Zhang, Yuhao Zhang, Xianju Qin, Shengli Pan, Yue Feng, Yingying Deng, Cuicui Ge, Yuexia Wang, Yuhao Zhang and Lihua Liu. Their work appears in journals such as Marine Drugs, International Journal of Molecular Medicine, Cell Death and Disease, Cellular Physiology and Biochemistry and OncoTargets and Therapy.

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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