Kevin Krudys

23 total papers · 1.0k total citations
20 papers, 787 citations indexed

About

Kevin Krudys is a scholar working on Pediatrics, Perinatology and Child Health, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Kevin Krudys has authored 20 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 6 papers in Statistics and Probability and 4 papers in Molecular Biology. Recurrent topics in Kevin Krudys's work include Pharmaceutical studies and practices (7 papers), Statistical Methods in Clinical Trials (6 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Kevin Krudys is often cited by papers focused on Pharmaceutical studies and practices (7 papers), Statistical Methods in Clinical Trials (6 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Kevin Krudys collaborates with scholars based in United States, Switzerland and Netherlands. Kevin Krudys's co-authors include Yeruk Mulugeta, Christine Garnett, Gilbert J. Burckart, Catherine Ortemann‐Renon, Norman Stockbridge, Georg Ferber, James J. Keirns, Venkateswar Jarugula, Paolo Vicini and Charles Benson and has published in prestigious journals such as Journal of Controlled Release, American Journal of Obstetrics and Gynecology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Kevin Krudys

20 papers receiving 756 citations

Author Peers

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

Author						Papers	Cites
Kevin Krudys	201	192	172	115	98	20	787
Lisa J. Benincosa	247 1.2×	84 0.4×	69 0.4×	160 1.4×	58 0.6×	29	799
R L Lalonde	149 0.7×	96 0.5×	59 0.3×	225 2.0×	43 0.4×	10	667
Chandrahas Sahajwalla	149 0.7×	169 0.9×	30 0.2×	75 0.7×	117 1.2×	44	765
Natalie Dayneka	213 1.1×	67 0.3×	62 0.4×	56 0.5×	99 1.0×	15	740
Holli H. Dilks	110 0.5×	102 0.5×	58 0.3×	49 0.4×	35 0.4×	17	652
Sarah Watson	129 0.6×	70 0.4×	131 0.8×	23 0.2×	86 0.9×	18	859
Amanda R. Elsey	68 0.3×	308 1.6×	101 0.6×	63 0.5×	63 0.6×	20	762
Daniël M. Jonker	224 1.1×	180 0.9×	81 0.5×	45 0.4×	142 1.4×	19	886
Venkateswar Jarugula	196 1.0×	85 0.4×	270 1.6×	32 0.3×	67 0.7×	24	651
Nigel S. Baber	166 0.8×	116 0.6×	31 0.2×	31 0.3×	85 0.9×	16	910

Countries citing papers authored by Kevin Krudys

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Krudys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Krudys

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