Shawn Garbett

48 total papers · 846 total citations
25 papers, 530 citations indexed

About

Shawn Garbett is a scholar working on Statistics and Probability, Molecular Biology and Oncology. According to data from OpenAlex, Shawn Garbett has authored 25 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Shawn Garbett's work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Gene Regulatory Network Analysis (4 papers) and Statistical Methods in Clinical Trials (4 papers). Shawn Garbett is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (6 papers), Gene Regulatory Network Analysis (4 papers) and Statistical Methods in Clinical Trials (4 papers). Shawn Garbett collaborates with scholars based in United States, France and United Kingdom. Shawn Garbett's co-authors include Vito Quaranta, Darren R. Tyson, Lisa J. McCawley, Dmitry A. Markov, Elizabeth M. Lillie, Josh F. Peterson, John A. Graves, Jonathan S. Schildcrout, David L. Veenstra and Carlos F. Lopez and has published in prestigious journals such as Annals of Internal Medicine, PLoS ONE and Nature Methods.

In The Last Decade

Shawn Garbett

23 papers receiving 518 citations

Author Peers

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

Author						Papers	Cites
Shawn Garbett	167	104	102	78	69	25	530
James M. Greene	174 1.0×	45 0.4×	24 0.2×	89 1.1×	198 2.9×	38	579
S. Y. Amy Cheung	121 0.7×	15 0.1×	31 0.3×	22 0.3×	25 0.4×	24	488
Tingzhe Sun	334 2.0×	18 0.2×	12 0.1×	59 0.8×	70 1.0×	36	589
Z. Fritz	182 1.1×	29 0.3×	99 1.0×	89 1.1×	3 0.0×	11	502
Sandra R. B. Allerheiligen	185 1.1×	17 0.2×	53 0.5×	42 0.5×	18 0.3×	16	585
Casey Ta	181 1.1×	64 0.6×	120 1.2×	16 0.2×	5 0.1×	45	612
Misaal Patel	216 1.3×	36 0.3×	119 1.2×	92 1.2×	3 0.0×	15	588
Tracy Lively	233 1.4×	88 0.8×	37 0.4×	251 3.2×	3 0.0×	18	586
Seth Michelson	184 1.1×	30 0.3×	21 0.2×	101 1.3×	122 1.8×	37	459
Philip S. Macklin	156 0.9×	15 0.1×	21 0.2×	95 1.2×	9 0.1×	19	541

Countries citing papers authored by Shawn Garbett

Since Specialization

Citations

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

Fields of papers citing papers by Shawn Garbett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn Garbett. 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 Shawn Garbett. The network helps show where Shawn Garbett may publish in the future.

Co-authorship network of co-authors of Shawn Garbett

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Garbett. A scholar is included among the top collaborators of Shawn Garbett 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 Shawn Garbett. Shawn Garbett 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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