Song Wu

1.4k total citations
54 papers, 1.1k citations indexed

About

Song Wu is a scholar working on Environmental Chemistry, Soil Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Song Wu has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Chemistry, 8 papers in Soil Science and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Song Wu's work include Arsenic contamination and mitigation (11 papers), Soil Carbon and Nitrogen Dynamics (8 papers) and Geochemistry and Elemental Analysis (7 papers). Song Wu is often cited by papers focused on Arsenic contamination and mitigation (11 papers), Soil Carbon and Nitrogen Dynamics (8 papers) and Geochemistry and Elemental Analysis (7 papers). Song Wu collaborates with scholars based in China, United States and Singapore. Song Wu's co-authors include Dongmei Zhou, Yujun Wang, Guodong Fang, Shenglong Tan, Changyin Zhu, Ning Chen, Yue Song, Deb P. Jaisi, Feng Zhu and Peixin Cui and has published in prestigious journals such as Journal of Neuroscience, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Song Wu

51 papers receiving 1.1k citations

Peers

Song Wu
Comparison fields: 5 of 93
  • Water Science and Technology 290
  • Pollution 250
  • Biomedical Engineering 226
  • Environmental Chemistry 196
  • Renewable Energy, Sustainability and the Environment 165
Replace Jingqing Gao with:
Jingqing Gao China
Ying Yuan China
Zhe Zhou China
Chongyang Li United States
Williamson Gustave China
Zhiyong Zhang China
Xuebin Hu China
Shinjiro Sato Japan
Yufeng Jiang China
Jingqing Gao China View profile →
Citations per field, relative to Song Wu
Song Wu · 1×
Citations per year, relative to Song Wu
Song Wu · 1×

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
# Work Indexed citations
1 0
2 1
3 3
4 4
5 21
6 2
7 13
8 11
9 3
10 10
11 3
12 14
13 7
14 7
15 7
16 9
17 19
18 18
19 13
20 12

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026