Song Wang

88 total papers · 1.4k total citations
49 papers, 876 citations indexed

About

Song Wang is a scholar working on Pulmonary and Respiratory Medicine, Hepatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Song Wang has authored 49 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 12 papers in Hepatology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Song Wang's work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Ultrasound and Hyperthermia Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Song Wang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Ultrasound and Hyperthermia Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Song Wang collaborates with scholars based in China, United States and Ethiopia. Song Wang's co-authors include Liang Cheng, Qinghua Guo, Guiyou Liu, Wenyang Zhou, Qinghua Jiang, Meng Luo, Huijie Jiang, Pingping Wang, Rui Tian and Xuming Mo and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Song Wang

44 papers receiving 867 citations

Author Peers

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

Author						Papers	Cites
Song Wang	366	214	200	134	124	49	876
William L. Ho	262 0.7×	180 0.8×	79 0.4×	115 0.9×	85 0.7×	47	721
Yuanping Hu	385 1.1×	144 0.7×	228 1.1×	179 1.3×	118 1.0×	50	948
Jie Chen	300 0.8×	115 0.5×	196 1.0×	155 1.2×	117 0.9×	72	968
Senxiang Yan	296 0.8×	335 1.6×	202 1.0×	120 0.9×	163 1.3×	87	1.0k
Richard Bitar	249 0.7×	273 1.3×	124 0.6×	176 1.3×	280 2.3×	21	1.0k
Tetsuya Takahashi	204 0.6×	169 0.8×	77 0.4×	114 0.9×	108 0.9×	56	870
Zijie Wang	303 0.8×	168 0.8×	134 0.7×	71 0.5×	69 0.6×	71	895
Yun Zhang	280 0.8×	234 1.1×	158 0.8×	90 0.7×	103 0.8×	37	971
Yuanyuan Liu	238 0.7×	300 1.4×	151 0.8×	112 0.8×	220 1.8×	79	901
Yutaka Sasaki	342 0.9×	244 1.1×	138 0.7×	212 1.6×	59 0.5×	47	963

Countries citing papers authored by Song Wang

Since Specialization

Citations

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

Fields of papers citing papers by Song Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Song Wang. A scholar is included among the top collaborators of Song Wang 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 Wang. Song Wang 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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