Andrew Song

81 total papers · 685 total citations
37 papers, 470 citations indexed

About

Andrew Song is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Genetics. According to data from OpenAlex, Andrew Song has authored 37 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 12 papers in Oncology and 11 papers in Genetics. Recurrent topics in Andrew Song's work include Glioma Diagnosis and Treatment (11 papers), Brain Metastases and Treatment (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Andrew Song is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Brain Metastases and Treatment (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Andrew Song collaborates with scholars based in United States, Australia and Canada. Andrew Song's co-authors include Soheil Younai, Marcel E. Nimni, Tai‐Lan Tuan, Wenyin Shi, Maria Werner‐Wasik, David W. Andrews, Voichita Bar‐Ad, James J. Evans, Jon Glass and Lu Gan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Andrew Song

33 papers receiving 460 citations

Author Peers

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

Author						Papers	Cites
Andrew Song	157	141	107	79	74	37	470
Eunsol Lee	101 0.6×	108 0.8×	54 0.5×	30 0.4×	59 0.8×	41	481
Noah S. Nelson	152 1.0×	99 0.7×	119 1.1×	66 0.8×	166 2.2×	55	536
Ilya Klabukov	52 0.3×	124 0.9×	52 0.5×	36 0.5×	96 1.3×	59	453
É. Bey	80 0.5×	153 1.1×	31 0.3×	102 1.3×	160 2.2×	49	462
Kenichi Nishino	76 0.5×	150 1.1×	55 0.5×	30 0.4×	215 2.9×	27	481
Bungo Shirasawa	191 1.2×	90 0.6×	69 0.6×	23 0.3×	242 3.3×	51	514
Peter Vester‐Glowinski	75 0.5×	190 1.3×	61 0.6×	25 0.3×	260 3.5×	42	423
Junji Xu	82 0.5×	168 1.2×	45 0.4×	15 0.2×	94 1.3×	19	542
Mingyao Meng	68 0.4×	153 1.1×	134 1.3×	79 1.0×	100 1.4×	44	551
Bommie Florence Seo	49 0.3×	92 0.7×	36 0.3×	60 0.8×	221 3.0×	67	468

Countries citing papers authored by Andrew Song

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Song

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