Scott W. Simpkins

31 total papers · 2.4k total citations
13 papers, 300 citations indexed

About

Scott W. Simpkins is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Scott W. Simpkins has authored 13 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Pharmacology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Scott W. Simpkins's work include Microbial Natural Products and Biosynthesis (5 papers), Computational Drug Discovery Methods (4 papers) and Fungal and yeast genetics research (3 papers). Scott W. Simpkins is often cited by papers focused on Microbial Natural Products and Biosynthesis (5 papers), Computational Drug Discovery Methods (4 papers) and Fungal and yeast genetics research (3 papers). Scott W. Simpkins collaborates with scholars based in United States, Japan and Canada. Scott W. Simpkins's co-authors include Chad L. Myers, Jeff S. Piotrowski, Justin Nelson, Sheena C. Li, Scott R. Rajski, Doug R. Braun, Tim S. Bugni, Stephen R. Groskreutz, Cameron R. Currie and Michael M. Swenson and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Scott W. Simpkins

13 papers receiving 297 citations

Author Peers

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

Author						Papers	Cites
Scott W. Simpkins	153	106	57	57	35	13	300
Newell O. Sjolander	190 1.2×	192 1.8×	59 1.0×	33 0.6×	15 0.4×	16	365
Navid J. Ayon	159 1.0×	61 0.6×	15 0.3×	41 0.7×	42 1.2×	24	343
Dennis Y. Liu	162 1.1×	119 1.1×	28 0.5×	13 0.2×	19 0.5×	18	274
Matthias Lipfert	153 1.0×	37 0.3×	20 0.4×	44 0.8×	25 0.7×	17	339
Robert E. Harman	110 0.7×	61 0.6×	29 0.5×	11 0.2×	53 1.5×	17	344
Antonio Azzollini	166 1.1×	121 1.1×	30 0.5×	17 0.3×	31 0.9×	11	317
Joo-Won Suh	177 1.2×	110 1.0×	44 0.8×	7 0.1×	14 0.4×	19	362
Adinarayana Gorajana	73 0.5×	77 0.7×	57 1.0×	9 0.2×	22 0.6×	23	319
Xiaoyun Wu	84 0.5×	31 0.3×	21 0.4×	25 0.4×	18 0.5×	17	300
F. P. Jake Haeckl	139 0.9×	88 0.8×	33 0.6×	10 0.2×	12 0.3×	12	260

Countries citing papers authored by Scott W. Simpkins

Since Specialization

Citations

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

Fields of papers citing papers by Scott W. Simpkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott W. Simpkins. 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 Scott W. Simpkins. The network helps show where Scott W. Simpkins may publish in the future.

Co-authorship network of co-authors of Scott W. Simpkins

This figure shows the co-authorship network connecting the top 25 collaborators of Scott W. Simpkins. A scholar is included among the top collaborators of Scott W. Simpkins 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 Scott W. Simpkins. Scott W. Simpkins 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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