Xiaosong Wu

3.5k citations
102 papers · 2.6k indexed · 2 hit papers · h-index 29
Topics
Multiple Myeloma Research and Treatments (23 papers)Protein Degradation and Inhibitors (10 papers)Advanced Memory and Neural Computing (9 papers)

In The Last Decade

Xiaosong Wu

100 papers receiving 2.5k citations

Hit Papers

Wearable in-sensor reservoir computing using optoelectron...202320262024202520232025255075100

Peers

Xiaosong Wu
Comparison fields: 5 of 131
  • Molecular Biology 1.4k
  • Oncology 575
  • Cancer Research 564
  • Hematology 430
  • Pathology and Forensic Medicine 247
Replace William H. Chappell with:
William H. Chappell United States
Ker Yu United States
Yoshitaka Satoh Japan
Annamaria Biroccio Italy
Zhihong Zeng United States
Yiyu Zou United States
Daniela M. Zisterer Ireland
John Brognard United States
Donatella Del Bufalo Italy
Timothy W. Corson United States
Xiaosong Wu relative to William H. Chappell United States William H. Chappell's profile →
Citations per field
00.5×10×
William H. Chappell · 1×
Citations per year

Countries citing papers authored by Xiaosong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosong Wu. A scholar is included among the top collaborators of Xiaosong 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 Xiaosong Wu. Xiaosong 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 7
2 16
3 5
4 8
5 4
6 3
7 11
8 25
9 5
10 9
11
Study on inhibition of nitidine chloride on human NPC cell growth and metastases
1
12 16
13 6
14 60
15 74
16 36
17
Numerical Simulation for Combustion Characteristic of Polyethylene in Solid Fuel Ramjet
1
18 82
19
Elimination of Polarization Fading in Fiber Fourier Transform Spectrometer
1
20
The Symmetrical Balance in Maxwell's Theory
1

About Xiaosong Wu

Xiaosong Wu is a scholar working on Hematology, Cancer Research and Molecular Biology, having authored 102 papers that have together received 2.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (23 papers), Protein Degradation and Inhibitors (10 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Hematology (430 citations), Cancer Research (564 citations) and Toxicology (89 citations). Xiaosong Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongqing Xi, Bo Wei, Fenghuang Zhan, Jumei Shi, Bart Barlogie, John D. Shaughnessy, Weiguo Huang, Jianxin Cui, Tao Yi and Lin Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

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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