Guangping Fu

426 citations
18 papers · 298 · h-index 8

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Circular RNAs in diseases 3
    • Molecular Biology Techniques and Applications 3
    • Genomics and Phylogenetic Studies 2
    • Genomics and Chromatin Dynamics 2
    • Forensic and Genetic Research 4

Guangping Fu

17 papers receiving 289 citations

Peers

Guangping Fu
Comparison fields: 5 of 61
  • Clinical Biochemistry 27
  • Genetics 84
  • Molecular Biology 203
  • Cancer Research 32
  • Pediatrics, Perinatology and Child Health 21
Replace Vibha Patil with:
Vibha Patil Australia
Maria X. Sosa United States
Ran Gao China
Olukayode Sosina United States
Magdalena Wagner Sweden
Taku Omata Japan
Tadahiro Mitani United States
Masaya Yamanaka Japan
Jakub Minks Canada
Ji Hyun Lee South Korea
Guangping Fu relative to Vibha Patil Australia Vibha Patil's profile →
Citations per field
00.5×1.5×2.2×
Vibha Patil · 1×
Citations per year

Countries citing papers authored by Guangping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Guangping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2016146
2 201529
3 202027
4 202021
5 201518
6 202015
7 201612
8 20237
9 20236
10 20254
11 20244
12 20233
13 20242
14 20241
15 20221
16 20241
17 20191
18 20240

About Guangping Fu

Guangping Fu is a scholar working on Molecular Biology, Genetics, Cancer Research, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 18 papers that have together received 298 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Forensic and Genetic Research (4 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Molecular Biology Techniques and Applications (3 papers), Cancer-related molecular mechanisms research (3 papers), Genomics and Phylogenetic Studies (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Clinical Biochemistry (27 citations), Genetics (84 citations), Molecular Biology (203 citations), Cancer Research (32 citations) and Pediatrics, Perinatology and Child Health (21 citations). Guangping Fu has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Lihong Fu, Shujin Li, Xiaojing Zhang, Chunling Ma, Qingqing Du, Lu Chen, Bin Cong, Bin Cong, Yi Liang and Wenjun Zhao. Their work appears in journals such as Forensic Science International Genetics, Scientific Reports, Frontiers in Microbiology, International Journal of Legal Medicine and Molecular Biology and Evolution.

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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