Katherine A. Sitko

18 total papers · 526 total citations
11 papers, 291 citations indexed

About

Katherine A. Sitko is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Katherine A. Sitko has authored 11 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 4 papers in Pharmacology. Recurrent topics in Katherine A. Sitko's work include Pharmacogenetics and Drug Metabolism (4 papers), Computational Drug Discovery Methods (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Katherine A. Sitko is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Computational Drug Discovery Methods (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Katherine A. Sitko collaborates with scholars based in United States, Canada and Australia. Katherine A. Sitko's co-authors include Douglas M. Fowler, Allan E. Rettie, Jason J. Stephany, Melissa A. Chiasson, Maitreya J. Dunham, Matthew G. McDonald, John D. Aitchison, Ramsey A. Saleem, Lai Hong Wong and Alexander V. Ratushny and has published in prestigious journals such as Nucleic Acids Research, Molecular Cell and Genetics.

In The Last Decade

Katherine A. Sitko

11 papers receiving 289 citations

Author Peers

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

Author						Papers	Cites
Katherine A. Sitko	219	68	57	27	23	11	291
Min Lin	191 0.9×	89 1.3×	54 0.9×	19 0.7×	10 0.4×	15	332
William J. Frazee	190 0.9×	19 0.3×	54 0.9×	24 0.9×	30 1.3×	10	327
Werner Boidol	193 0.9×	87 1.3×	56 1.0×	55 2.0×	13 0.6×	11	325
Xiaoxi Cao	183 0.8×	37 0.5×	23 0.4×	42 1.6×	26 1.1×	7	283
Michael Römer	204 0.9×	27 0.4×	26 0.5×	52 1.9×	20 0.9×	16	297
Renée Zindell	119 0.5×	60 0.9×	17 0.3×	13 0.5×	18 0.8×	10	329
Rawle Francis	163 0.7×	20 0.3×	41 0.7×	17 0.6×	40 1.7×	15	294
Steve Tam	186 0.8×	20 0.3×	27 0.5×	26 1.0×	21 0.9×	10	303
On‐Yee So	118 0.5×	52 0.8×	46 0.8×	33 1.2×	14 0.6×	6	282
Sibylle Tolksdorf	120 0.5×	52 0.8×	31 0.5×	7 0.3×	5 0.2×	13	294

Countries citing papers authored by Katherine A. Sitko

Since Specialization

Citations

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

Fields of papers citing papers by Katherine A. Sitko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine A. Sitko. 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 Katherine A. Sitko. The network helps show where Katherine A. Sitko may publish in the future.

Co-authorship network of co-authors of Katherine A. Sitko

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