Ning Fu

1.4k citations
15 papers · 971 · h-index 10

Impact in

  • Aging top 5%
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 3
    • Genomics and Phylogenetic Studies 2
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 2

Ning Fu

14 papers receiving 955 citations

Peers

Ning Fu
Comparison fields: 5 of 102
  • Aging 61
  • Cancer Research 245
  • Molecular Biology 740
  • Biological Psychiatry 21
  • Developmental Neuroscience 29
Replace Katharina E. Hayer with:
Katharina E. Hayer United States
Akiko Yanagiya Canada
Christian Kukat Germany
Alina Isakova United States
Elizabeth M. McNeill United States
Grzegorz Sienski Austria
Vishnu Dileep United States
Karolina Pircs Sweden
Ernesto Guzmán United States
Maxim V. Ivannikov United States
Ning Fu relative to Katharina E. Hayer United States Katharina E. Hayer's profile →
Citations per field
00.5×2.6×
Katharina E. Hayer · 1×
Citations per year

Countries citing papers authored by Ning Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2010239
2 2009216
3 2013154
4 2011103
5 201173
6 200766
7 201559
8 202223
9 201810
10 20149
11 20148
12 20246
13 20244
14
Cloning and sequence analysis of cDNA and genomic DNA of human thrombopoietin gene.
20011
15 20240

About Ning Fu

Ning Fu is a scholar working on Molecular Biology, Cancer Research, Ecology, Evolution, Behavior and Systematics, Plant Science and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 971 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Cancer-related molecular mechanisms research (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Banana Cultivation and Research (2 papers), Genomics and Phylogenetic Studies (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Aging (61 citations), Cancer Research (245 citations), Molecular Biology (740 citations), Biological Psychiatry (21 citations) and Developmental Neuroscience (29 citations). Ning Fu has collaborated with scholars based in China, Germany and Russia. Frequent co-authors include Philipp Khaitovich, Rong Zeng, Wei Chen, Song Guo, Corinna Menzel, Zhibin Ning, Yan Zheng, Ying Xu, Hai Hu and Mehmet Somel. Their work appears in journals such as BMC Genomics, Journal of Systematics and Evolution, Journal of Proteome Research, PLoS Genetics and RNA.

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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