Shih‐Shan Lang

120 total papers · 1.7k total citations
81 papers, 1.1k citations indexed

About

Shih‐Shan Lang is a scholar working on Neurology, Surgery and Genetics. According to data from OpenAlex, Shih‐Shan Lang has authored 81 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Neurology, 24 papers in Surgery and 19 papers in Genetics. Recurrent topics in Shih‐Shan Lang's work include Traumatic Brain Injury and Neurovascular Disturbances (21 papers), Craniofacial Disorders and Treatments (17 papers) and Cerebrospinal fluid and hydrocephalus (15 papers). Shih‐Shan Lang is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (21 papers), Craniofacial Disorders and Treatments (17 papers) and Cerebrospinal fluid and hydrocephalus (15 papers). Shih‐Shan Lang collaborates with scholars based in United States, Italy and Sweden. Shih‐Shan Lang's co-authors include Phillip B. Storm, Gregory G. Heuer, Peter J. Madsen, John Y. K. Lee, Adam Resnick, Zarina S. Ali, Katie Boucher, Namrata Choudhari, Angela J. Sievert and Jordan W. Swanson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Shih‐Shan Lang

77 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Shih‐Shan Lang 469 277 235 175 157 81 1.1k
William M. Chadduck 478 1.0× 369 1.3× 227 1.0× 205 1.2× 192 1.2× 65 1.2k
E. Markakis 413 0.9× 245 0.9× 184 0.8× 66 0.4× 183 1.2× 58 1.1k
Marco Pavanello 293 0.6× 397 1.4× 132 0.6× 140 0.8× 121 0.8× 103 1.1k
Takuya Akai 502 1.1× 335 1.2× 152 0.6× 103 0.6× 94 0.6× 97 1.0k
Suresh N. Magge 371 0.8× 209 0.8× 306 1.3× 162 0.9× 236 1.5× 61 1.1k
Jeffrey W. Campbell 265 0.6× 191 0.7× 254 1.1× 157 0.9× 216 1.4× 50 1.1k
Richard Rovin 288 0.6× 256 0.9× 235 1.0× 67 0.4× 114 0.7× 57 1.1k
Aldo Iannelli 379 0.8× 222 0.8× 214 0.9× 104 0.6× 119 0.8× 62 1.1k
Andrea Elefante 302 0.6× 287 1.0× 157 0.7× 58 0.3× 95 0.6× 107 1.3k
S S Gebarski 324 0.7× 347 1.3× 132 0.6× 64 0.4× 101 0.6× 42 1.0k

Countries citing papers authored by Shih‐Shan Lang

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Shan Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Shan Lang. 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 Shih‐Shan Lang. The network helps show where Shih‐Shan Lang may publish in the future.

Co-authorship network of co-authors of Shih‐Shan Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Shan Lang. A scholar is included among the top collaborators of Shih‐Shan Lang 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 Shih‐Shan Lang. Shih‐Shan Lang 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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2026