Samuel Q. Li

21 total papers · 453 total citations
13 papers, 261 citations indexed

About

Samuel Q. Li is a scholar working on Surgery, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Samuel Q. Li has authored 13 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Samuel Q. Li's work include Spine and Intervertebral Disc Pathology (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Hip disorders and treatments (2 papers). Samuel Q. Li is often cited by papers focused on Spine and Intervertebral Disc Pathology (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Hip disorders and treatments (2 papers). Samuel Q. Li collaborates with scholars based in United States and South Korea. Samuel Q. Li's co-authors include Nicholas U. Ahn, Uri M. Ahn, Adam Cheuk, Young Song, Jun S. Wei, Laura Hurd, Javed Khan, Jack F. Shern, Hongling Liao and Daniel R. Cooperman and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Cancer Research.

In The Last Decade

Samuel Q. Li

11 papers receiving 258 citations

Author Peers

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

Author Last Decade Papers Cites
Samuel Q. Li 117 56 56 45 36 13 261
Jinna Wu 123 1.1× 59 1.1× 54 1.0× 45 1.0× 57 1.6× 18 317
Geriolda Topi 110 0.9× 42 0.8× 98 1.8× 24 0.5× 61 1.7× 14 317
Tetsuya Inazu 80 0.7× 28 0.5× 43 0.8× 39 0.9× 17 0.5× 13 313
Yumin Wu 101 0.9× 63 1.1× 31 0.6× 24 0.5× 52 1.4× 13 196
Jawhar Rawwas 129 1.1× 42 0.8× 38 0.7× 26 0.6× 66 1.8× 11 239
Iván Parra‐Izquierdo 87 0.7× 65 1.2× 25 0.4× 27 0.6× 30 0.8× 18 325
In Gu 59 0.5× 50 0.9× 64 1.1× 72 1.6× 33 0.9× 15 204
Longci Sun 190 1.6× 70 1.3× 52 0.9× 29 0.6× 123 3.4× 17 316
Nathalie Guriec 140 1.2× 105 1.9× 87 1.6× 26 0.6× 41 1.1× 16 321
Xuzhen Yan 125 1.1× 26 0.5× 51 0.9× 66 1.5× 40 1.1× 18 324

Countries citing papers authored by Samuel Q. Li

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Q. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Q. Li. 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 Samuel Q. Li. The network helps show where Samuel Q. Li may publish in the future.

Co-authorship network of co-authors of Samuel Q. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Q. Li. A scholar is included among the top collaborators of Samuel Q. Li 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 Samuel Q. Li. Samuel Q. Li 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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