Jun Wu

6.4k citations
126 papers · 3.8k · h-index 34

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Bacterial Genetics and Biotechnology
    • Protein Kinase Regulation and GTPase Signaling
    • Plant-derived Lignans Synthesis and Bioactivity
    • Pluripotent Stem Cells Research
    • Protein Tyrosine Phosphatases

Papers in

    • Mesenchymal stem cell research 18
    • Pluripotent Stem Cells Research 8
    • Plant-derived Lignans Synthesis and Bioactivity 6
    • Phytochemical Studies and Bioactivities 5
    • Cell death mechanisms and regulation 5

Jun Wu

120 papers receiving 3.7k citations

Peers

Jun Wu
Comparison fields: 5 of 124
  • Genetics 485
  • Molecular Biology 1.4k
  • Pharmacology 189
  • Complementary and alternative medicine 106
  • Neurology 82
Replace Lei Wei with:
Lei Wei United States
Cinzia Lanzi Italy
Giuliana Cassinelli Italy
Giorgio Santoni Italy
Huan Dou China
Katsumi Higaki Japan
Ivica Rubelj Croatia
Lawrence Helson United States
Ling Zhang China
Jun Wu relative to Lei Wei United States Lei Wei's profile →
Citations per field
00.5×2×2.9×
Lei Wei · 1×
Citations per year

Countries citing papers authored by Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994303
2 2009224
3 2013147
4 2013142
5 2005133
6 2005122
7 2011108
8 2009102
9 202096
10 201093
11 202380
12 202079
13 201978
14 201773
15 202069
16 201259
17 201256
18 202256
19 199255
20 202252

About Jun Wu

Jun Wu is a scholar working on Genetics, Molecular Biology, Pharmacology, Cancer Research and Rheumatology, having authored 126 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (18 papers), Pluripotent Stem Cells Research (8 papers), Plant-derived Lignans Synthesis and Bioactivity (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Phytochemical Studies and Bioactivities (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Cell death mechanisms and regulation (5 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). The work is most often cited by research in Genetics (485 citations), Molecular Biology (1.4k citations), Pharmacology (189 citations), Complementary and alternative medicine (106 citations) and Neurology (82 citations). Jun Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jie Hao, Kun Zou, Vijay Yajnik, Jianyu Pan, Ben L. Margolis, Pamela Blaikie, Meihua Yang, Shilin Chen, Jari Sinkkonen and Liu Wang. Their work appears in journals such as Cell Proliferation, Stem Cell Research & Therapy, The International Journal of Biochemistry & Cell Biology, Magnetic Resonance in Chemistry and Organic & Biomolecular Chemistry.

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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