Shayne D. Wierbowski

26 total papers · 748 total citations
11 papers, 235 citations indexed

About

Shayne D. Wierbowski is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Shayne D. Wierbowski has authored 11 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Shayne D. Wierbowski's work include Bioinformatics and Genomic Networks (6 papers), Genomics and Rare Diseases (3 papers) and Computational Drug Discovery Methods (3 papers). Shayne D. Wierbowski is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Genomics and Rare Diseases (3 papers) and Computational Drug Discovery Methods (3 papers). Shayne D. Wierbowski collaborates with scholars based in United States, China and United Kingdom. Shayne D. Wierbowski's co-authors include Haiyuan Yu, Ting‐Yi Wang, Carlos J. Camacho, Jin Liang, Siqi Liang, Alden King-Yung Leung, Abdullah Ozer, John T. Lis, James G. Booth and Nathaniel D. Tippens and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Methods.

In The Last Decade

Shayne D. Wierbowski

10 papers receiving 233 citations

Author Peers

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

Author Last Decade Papers Cites
Shayne D. Wierbowski 187 44 31 27 23 11 235
Craig W. Gambogi 239 1.3× 30 0.7× 40 1.3× 16 0.6× 6 0.3× 10 274
Crystal A. Khan 237 1.3× 36 0.8× 17 0.5× 78 2.9× 7 0.3× 8 319
Ashley E. Modell 255 1.4× 38 0.9× 32 1.0× 5 0.2× 5 0.2× 9 324
Simran Kaur Aulakh 210 1.1× 10 0.2× 37 1.2× 51 1.9× 9 0.4× 13 325
Yi-Xue Li 165 0.9× 43 1.0× 9 0.3× 14 0.5× 4 0.2× 7 219
Vakil Takhaveev 264 1.4× 13 0.3× 35 1.1× 6 0.2× 53 2.3× 13 328
Mert B. Ozturk 206 1.1× 22 0.5× 9 0.3× 68 2.5× 7 0.3× 10 282
Jeanette Reinshagen 150 0.8× 63 1.4× 5 0.2× 17 0.6× 6 0.3× 16 263
V.L. Linhard 178 1.0× 40 0.9× 22 0.7× 17 0.6× 2 0.1× 17 280
Christian Leung 111 0.6× 11 0.3× 27 0.9× 11 0.4× 69 3.0× 7 185

Countries citing papers authored by Shayne D. Wierbowski

Since Specialization
Citations

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

Fields of papers citing papers by Shayne D. Wierbowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shayne D. Wierbowski. 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 Shayne D. Wierbowski. The network helps show where Shayne D. Wierbowski may publish in the future.

Co-authorship network of co-authors of Shayne D. Wierbowski

This figure shows the co-authorship network connecting the top 25 collaborators of Shayne D. Wierbowski. A scholar is included among the top collaborators of Shayne D. Wierbowski 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 Shayne D. Wierbowski. Shayne D. Wierbowski 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