Ying C. Song

31 total papers · 1.3k total citations
23 papers, 1.1k citations indexed

About

Ying C. Song is a scholar working on Surgery, Biomaterials and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ying C. Song has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 7 papers in Biomaterials and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ying C. Song's work include Electrospun Nanofibers in Biomedical Applications (6 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Knee injuries and reconstruction techniques (4 papers). Ying C. Song is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (6 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Knee injuries and reconstruction techniques (4 papers). Ying C. Song collaborates with scholars based in United States, China and Taiwan. Ying C. Song's co-authors include Kelvin G.M. Brockbank, Michael J. Taylor, Fred G. Lightfoot, Bijan S. Khirabadi, Laura E. Niklason, Shannon L. M. Dahl, Kelvin G.M. Brockbank, Flavian M. Lupinetti, Xue-Han Ning and Michael A. Portman and has published in prestigious journals such as Nature Biotechnology, American Journal of Physiology-Heart and Circulatory Physiology and Transplantation.

In The Last Decade

Ying C. Song

20 papers receiving 999 citations

Author Peers

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

Author						Papers	Cites
Ying C. Song	620	362	257	212	202	23	1.1k
Zuhaib Ibrahim	822 1.3×	176 0.5×	182 0.7×	87 0.4×	150 0.7×	40	1.4k
Karim A. Sarhane	513 0.8×	177 0.5×	172 0.7×	148 0.7×	111 0.5×	56	1.2k
Xiaochen Liu	521 0.8×	151 0.4×	175 0.7×	161 0.8×	105 0.5×	45	1.2k
R.C. Dunn	471 0.8×	152 0.4×	119 0.5×	87 0.4×	113 0.6×	38	1.0k
MD Menger	378 0.6×	162 0.4×	178 0.7×	27 0.1×	223 1.1×	27	963
Akira Amemiya	398 0.6×	29 0.1×	253 1.0×	134 0.6×	137 0.7×	55	1.2k
Harry P. Koo	351 0.6×	202 0.6×	134 0.5×	71 0.3×	87 0.4×	48	1.1k
Sabrina Valente	435 0.7×	218 0.6×	171 0.7×	48 0.2×	431 2.1×	40	1.3k
Maike Keck	352 0.6×	133 0.4×	77 0.3×	68 0.3×	113 0.6×	44	975
P. García	442 0.7×	63 0.2×	164 0.6×	48 0.2×	174 0.9×	34	976

Countries citing papers authored by Ying C. Song

Since Specialization

Citations

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

Fields of papers citing papers by Ying C. Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying C. Song

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