Qingfa Wu

10.1k citations
77 papers · 5.7k · 2 hit papers · h-index 28

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Endocrinology top 0.5%
    • Plant and Fungal Interactions Research

Papers in

Qingfa Wu

74 papers receiving 5.6k citations

Qingfa Wu's Hit Papers

Exon-intron circular RNAs regulate transcription in the nucleus 2015 · 2.4k citations
2.4k0+5+10Years since publication50010001.5k2.0k

Peers

Qingfa Wu
Comparison fields: 5 of 108
  • Cancer Research 2.2k
  • Endocrinology 756
  • Molecular Biology 3.6k
  • Insect Science 635
  • Plant Science 1.8k
Replace Kenji Nakahara with:
Kenji Nakahara Japan
Mohamed‐Ali Hakimi France
Patrick Essletzbichler Austria
Jeffrey Wilusz United States
Michael P. Terns United States
Megha Ghildiyal United States
Amy H. Buck United Kingdom
Jinbiao Ma China
Mikko J. Frilander Finland
Daniel J. Turner United Kingdom
Qingfa Wu relative to Kenji Nakahara Japan Kenji Nakahara's profile →
Citations per field
00.5×
Kenji Nakahara · 1×
Citations per year

Countries citing papers authored by Qingfa Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qingfa Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exon-intron circular RNAs regulate transcription in the nucleus
Hit paper breakdown →
20152364
2
Virus discovery by deep sequencing and assembly of virus-derived small silencing RNAs
Hit paper breakdown →
2010377
3 2009357
4 2011296
5 2008209
6 2008207
7 2015152
8 2010139
9 2012138
10 2012117
11 2014111
12 200871
13 201765
14 201162
15 201660
16 201056
17 200553
18 201653
19 202051
20 201550

About Qingfa Wu

Qingfa Wu is a scholar working on Molecular Biology, Plant Science, Endocrinology, Cancer Research and Insect Science, having authored 77 papers that have together received 5.7k indexed citations. Recurring topics across this work include Plant Virus Research Studies (27 papers), Plant and Fungal Interactions Research (16 papers), RNA Research and Splicing (8 papers), Insect symbiosis and bacterial influences (7 papers), Bacteriophages and microbial interactions (7 papers), Plant Disease Resistance and Genetics (6 papers), MicroRNA in disease regulation (6 papers) and Invertebrate Immune Response Mechanisms (5 papers). The work is most often cited by research in Cancer Research (2.2k citations), Endocrinology (756 citations), Molecular Biology (3.6k citations), Insect Science (635 citations) and Plant Science (1.8k citations). Qingfa Wu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Shou‐Wei Ding, Zhaoxia Chang, Ge Shan, Huijie Liu, Pengfei Zhu, Zhaoyong Li, Wanchen Hu, Limin Dai, Liang Chen and Chun Bao. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Genomics, Frontiers in Microbiology, Cell Host & Microbe and Archives of Virology.

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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