Song Wu

58 total papers · 921 total citations
35 papers, 688 citations indexed

About

Song Wu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Song Wu has authored 35 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Song Wu's work include Porphyrin and Phthalocyanine Chemistry (5 papers), Luminescence and Fluorescent Materials (3 papers) and Molecular Sensors and Ion Detection (3 papers). Song Wu is often cited by papers focused on Porphyrin and Phthalocyanine Chemistry (5 papers), Luminescence and Fluorescent Materials (3 papers) and Molecular Sensors and Ion Detection (3 papers). Song Wu collaborates with scholars based in China, United States and Germany. Song Wu's co-authors include Jin Chen, Zhihong Liu, Zhen Cheng, Shuang Li, Tian Xia, Lingyu Zeng, Guofu Qiu, Xiaojun Peng, Kai Cheng and Lizhu Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Analytical Chemistry and Cancer Research.

In The Last Decade

Song Wu

33 papers receiving 681 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Song Wu	308	156	131	86	80	35	688
Yanfei Zhang	305 1.0×	90 0.6×	94 0.7×	48 0.6×	57 0.7×	52	693
Ken-ichi Kiyomiya	323 1.0×	103 0.7×	94 0.7×	39 0.5×	31 0.4×	29	787
Kumiko Harada	384 1.2×	153 1.0×	62 0.5×	75 0.9×	69 0.9×	51	709
Jing Ma	376 1.2×	116 0.7×	84 0.6×	128 1.5×	85 1.1×	31	714
Xue You	420 1.4×	55 0.4×	175 1.3×	120 1.4×	43 0.5×	33	713
Hanlin Ma	297 1.0×	105 0.7×	92 0.7×	55 0.6×	74 0.9×	38	730
Hu Xu	329 1.1×	99 0.6×	102 0.8×	54 0.6×	30 0.4×	22	720
Tatyana S. Godovikova	410 1.3×	54 0.3×	100 0.8×	53 0.6×	73 0.9×	46	742
Gianluca Di Cara	410 1.3×	117 0.8×	141 1.1×	122 1.4×	44 0.6×	26	765
Hana Polanská	326 1.1×	136 0.9×	92 0.7×	91 1.1×	31 0.4×	32	729

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

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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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