Qingfa Wu

9.9k citations
76 papers · 5.6k indexed · 2 hit papers · h-index 28
    • MicroRNA in disease regulation 6
  • Endocrinology top 0.5%
    • Plant and Fungal Interactions Research 17
    • Insect symbiosis and bacterial influences 8
    • RNA Research and Splicing 8
    • Genomics and Phylogenetic Studies 6
    • Plant Virus Research Studies 27
    • Plant Disease Resistance and Genetics 7
    • Bacteriophages and microbial interactions 7

Qingfa Wu

71 papers receiving 5.5k citations

Hit Papers

Exon-intron circular RNAs regulate transcription in the n...2.3k201020262015202050010001.5k2.0k

Peers

Qingfa Wu
Comparison fields: 5 of 111
  • Cancer Research 2.5k
  • Endocrinology 791
  • Insect Science 678
  • Molecular Biology 3.7k
  • Plant Science 1.9k
Replace Kenji Nakahara with:
Kenji Nakahara Japan
Patrick Essletzbichler Austria
Mohamed‐Ali Hakimi France
Jeffrey Wilusz United States
Mikko J. Frilander Finland
Michael P. Terns United States
Megha Ghildiyal United States
Amy H. Buck United Kingdom
Nancy L. Craig United States
Daniel J. Turner United Kingdom
Qingfa Wu relative to Kenji Nakahara Japan Kenji Nakahara's profile →
Citations per field
00.5×3.6×
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-authorship network

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
#Work
1 20245
2 20242
3 20236
4 20233
5 20221
6 20212
7 201920
8 201810
9 201625
10 20165
11 201632
12 201651
13 201516
14
Virus discovery by deep sequencing and assembly of virus-derived small silencing RNAsbreakdown →
2010375
15 2010139
16 200829
17 2008209
18 2008207
19 20069
20 20057

About Qingfa Wu

Qingfa Wu is a scholar working on Endocrinology, Insect Science and Cancer Research, having authored 76 papers that have together received 5.6k indexed citations. Recurring topics across this work include Plant Virus Research Studies (27 papers), Plant and Fungal Interactions Research (17 papers), Insect symbiosis and bacterial influences (8 papers), RNA Research and Splicing (8 papers), Bacteriophages and microbial interactions (7 papers), Plant Disease Resistance and Genetics (7 papers), MicroRNA in disease regulation (6 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Cancer Research (2.5k citations), Endocrinology (791 citations) and Insect Science (678 citations). Qingfa Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Shou‐Wei Ding, Zhaoxia Chang, Ge Shan, Huijie Liu, Pengfei Zhu, Mei Lin, Ya Jia, Chuan Huang, Bin Yu and Zhaoyong Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Genomics, Scientific Reports, Archives of Virology and Cell Host & Microbe.

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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