Samuel S. Shin

42 total papers · 1.3k total citations
34 papers, 843 citations indexed

About

Samuel S. Shin is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Samuel S. Shin has authored 34 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Neurology, 11 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in Samuel S. Shin's work include Traumatic Brain Injury and Neurovascular Disturbances (17 papers), Traumatic Brain Injury Research (9 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Samuel S. Shin is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (17 papers), Traumatic Brain Injury Research (9 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Samuel S. Shin collaborates with scholars based in United States and Denmark. Samuel S. Shin's co-authors include C. Edward Dixon, C. Edward Dixon, Misun Hwang, David O. Okonkwo, Galit Pelled, R. Mark Richardson, James W. Bales, Sudhir Pathak, Sandip K. Datta and Hong Q. Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and Scientific Reports.

In The Last Decade

Samuel S. Shin

34 papers receiving 821 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 S. Shin 381 291 165 119 100 34 843
Marcelo Neves Linhares 417 1.1× 225 0.8× 125 0.8× 163 1.4× 28 0.3× 37 911
Leopold J. Streletz 182 0.5× 151 0.5× 146 0.9× 152 1.3× 56 0.6× 49 1.1k
Howard Tung 384 1.0× 166 0.6× 54 0.3× 149 1.3× 68 0.7× 20 829
Nikolaos Foroglou 242 0.6× 142 0.5× 133 0.8× 102 0.9× 65 0.7× 57 874
José E. Capó‐Aponte 327 0.9× 379 1.3× 174 1.1× 64 0.5× 85 0.8× 26 870
Yoshimasa Takeda 187 0.5× 86 0.3× 124 0.8× 189 1.6× 74 0.7× 60 902
Venkata Siva Sai Sujith Sajja 626 1.6× 550 1.9× 206 1.2× 88 0.7× 59 0.6× 47 977
Rahul Rathakrishnan 229 0.6× 360 1.2× 63 0.4× 62 0.5× 60 0.6× 49 855
Éric Azabou 270 0.7× 295 1.0× 72 0.4× 60 0.5× 22 0.2× 45 922
Robert S. Rust 321 0.8× 169 0.6× 239 1.4× 128 1.1× 21 0.2× 37 1.0k

Countries citing papers authored by Samuel S. Shin

Since Specialization
Citations

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

Fields of papers citing papers by Samuel S. Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel S. Shin

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