Song Wu

1.8k citations
114 papers · 1.5k indexed · h-index 22
Topics
Computational Drug Discovery Methods (20 papers)Cholinesterase and Neurodegenerative Diseases (12 papers)Synthesis and biological activity (7 papers)

In The Last Decade

Song Wu

101 papers receiving 1.5k citations

Peers

Song Wu
Comparison fields: 5 of 113
  • Molecular Biology 705
  • Organic Chemistry 341
  • Pharmacology 274
  • Computational Theory and Mathematics 244
  • Oncology 118
Replace Ashfaq Ur Rehman with:
Ashfaq Ur Rehman Pakistan
Zhili Zuo China
Benjamin J. Orlando United States
Matej Sova Slovenia
Florian Kaiser Germany
C. Sadasivan India
Faizul Azam Saudi Arabia
Guo‐Li Xiong China
José Antonio Encinar Spain
Russell J. Mortishire‐Smith United Kingdom
Song Wu relative to Ashfaq Ur Rehman Pakistan Ashfaq Ur Rehman's profile →
Citations per field
00.5×2.8×
Ashfaq Ur Rehman · 1×
Citations per year

Countries citing papers authored by Song Wu

Since Specialization
Citations

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

Fields of papers citing papers by Song Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Song Wu. A scholar is included among the top collaborators of Song 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 Song Wu. Song 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
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2 0
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4 2
5 1
6 1
7 8
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10 6
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12 1
13
Synthesis of two metabolites of pinocembrin
1
14
Studies on hereditary properties of colored cotton in Xinjiang.
4
15
The Progress of Protein Quality Control Methods in Shotgun Proteomics
2
16
Ion pair RP-HPLC determination of ethambutol hydrochloride in the combined preparation of antituberculotic
1
17
Isolation and identification of an unknown factitious additive in a hypoglycemic health product
1
18 48
19
THE ADVANCE ON THE RESEARCH OF BREVISCAPINE
5
20
Study on the Volatile Constituents of Maillard Reaction
0

About Song Wu

Song Wu is a scholar working on Toxicology, Pharmacology and Computational Theory and Mathematics, having authored 114 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Cholinesterase and Neurodegenerative Diseases (12 papers) and Synthesis and biological activity (7 papers). The work is most often cited by research in Toxicology (58 citations), Pharmacology (274 citations) and Computational Theory and Mathematics (244 citations). Song Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jie Xia, Guanhua Du, Ailin Liu, Wenxuan Zhang, Dongmei Wang, Wenjie Xue, Qingyun Yang, Ranyao Yang, Lei Zhao and Xiang Simon Wang. Their work appears in journals such as Nature Communications, International Journal of Molecular Sciences and Journal of Allergy and Clinical Immunology.

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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