Ning Fu

1.4k citations
15 papers · 988 · h-index 10

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

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

Ning Fu

14 papers receiving 973 citations

Peers

Ning Fu
Comparison fields: 5 of 102
  • Aging 62
  • Cancer Research 227
  • Molecular Biology 662
  • Developmental Neuroscience 30
  • Biological Psychiatry 17
Replace Akiko Yanagiya with:
Akiko Yanagiya Canada
Alina Isakova United States
Elizabeth M. McNeill United States
Karolina Pircs Sweden
Grzegorz Sienski Austria
Laurie R. Earls United States
Mohamed Nadhir Djekidel United States
Sergio Casas‐Tintó Spain
Andrew Knights United Kingdom
Hai Qian China
Ning Fu relative to Akiko Yanagiya Canada Akiko Yanagiya's profile →
Citations per field
00.5×
Akiko Yanagiya · 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 2010244
2 2009218
3 2013156
4 2011105
5 201173
6 200766
7 201562
8 202224
9 201810
10 20149
11 20148
12 20247
13 20245
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, Plant Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 988 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), Genomics and Chromatin Dynamics (2 papers), MicroRNA in disease regulation (2 papers), Banana Cultivation and Research (2 papers), RNA modifications and cancer (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Aging (62 citations), Cancer Research (227 citations), Molecular Biology (662 citations), Developmental Neuroscience (30 citations) and Biological Psychiatry (17 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, BMC Plant Biology, Horticulture Research, Journal of Systematics and Evolution and PLoS ONE.

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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