Shun‐Quan Wu

787 citations
25 papers · 643 indexed · h-index 11
Topics
MicroRNA in disease regulation (11 papers)Chronic Lymphocytic Leukemia Research (5 papers)Multiple Myeloma Research and Treatments (5 papers)
Partner nations
ChinaUnited States

In The Last Decade

Shun‐Quan Wu

22 papers receiving 631 citations

Peers

Shun‐Quan Wu
Comparison fields: 5 of 70
  • Molecular Biology 520
  • Cancer Research 460
  • Oncology 65
  • Immunology 42
  • Pathology and Forensic Medicine 31
Replace Kar Lok Kong with:
Kar Lok Kong Hong Kong
Giorgia Pilotto Italy
Xupeng Yue China
Nicole Longoni Italy
Mingtai Chen China
Rongxia Liao China
Zhenbo Tu China
Magali Espinosa Mexico
Nicola Inzerilli Italy
Mingxin Wen China
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Citations per field
00.5×1.5×
Kar Lok Kong · 1×
Citations per year

Countries citing papers authored by Shun‐Quan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Quan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun‐Quan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Quan Wu. A scholar is included among the top collaborators of Shun‐Quan Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shun‐Quan Wu. Shun‐Quan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 11
3 0
4 10
5 5
6 12
7 19
8 20
9 14
10 10
11 3
12 7
13
[Construction of miRNA sponge targeting miR-20a and stable expression in Jurkat leukemia cell line].
4
14
[A case of Richter syndrome transformed from chronic lymphocytic leukemia with karyotype aberration of trisomy 12].
2
15 104
16 74
17 261
18
[Gfi-1 expression in leukemia patients and inhibitory effects of lentiviral vector mediated silence of Gfi-1 gene on proliferation in K562 cells].
2
19 75
20
[april mRNA expression in newly diagnosed leukemia patients].
0

About Shun‐Quan Wu

Shun‐Quan Wu is a scholar working on Cancer Research, Genetics and Hematology, having authored 25 papers that have together received 643 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Multiple Myeloma Research and Treatments (5 papers). The work is most often cited by research in Cancer Research (460 citations), Molecular Biology (520 citations) and Genetics (27 citations). Shun‐Quan Wu has collaborated with scholars based in China and United States. Frequent co-authors include Xianghuo He, Shenglin Huang, Rong Zhan, Jie Ding, Jianren Gu, Yingjun Zhao, Linhui Liang, Jun Lin, Ming Yao and Taoyang Chen. Their work appears in journals such as Nucleic Acids Research, Blood and Nature Cell Biology.

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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