Kathryn Timberlake

31 total papers · 545 total citations
20 papers, 105 citations indexed

About

Kathryn Timberlake is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Kathryn Timberlake has authored 20 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 6 papers in Pediatrics, Perinatology and Child Health and 6 papers in Epidemiology. Recurrent topics in Kathryn Timberlake's work include Antibiotic Use and Resistance (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Pharmaceutical studies and practices (4 papers). Kathryn Timberlake is often cited by papers focused on Antibiotic Use and Resistance (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Pharmaceutical studies and practices (4 papers). Kathryn Timberlake collaborates with scholars based in Canada, United States and United Kingdom. Kathryn Timberlake's co-authors include Michelle Science, Kevin A. Brown, Christopher Tomlinson, Deonne Dersch‐Mills, Bryan Coburn, Kyong‐Soon Lee, Paul F. Kantor, Susan E. Richardson, Alfred S. Gin and Andrew M. Morris and has published in prestigious journals such as PEDIATRICS, Clinical Infectious Diseases and The Lancet Infectious Diseases.

In The Last Decade

Kathryn Timberlake

17 papers receiving 105 citations

Author Peers

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

Author Last Decade Papers Cites
Kathryn Timberlake 33 29 27 27 22 20 105
Maria Amicone 24 0.7× 37 1.3× 7 0.3× 14 0.5× 9 0.4× 20 170
Iman Ansari 53 1.6× 15 0.5× 8 0.3× 38 1.4× 27 1.2× 29 182
Mary Banoub 30 0.9× 30 1.0× 30 1.1× 35 1.3× 4 0.2× 17 145
Gita Nadimpalli 31 0.9× 35 1.2× 5 0.2× 44 1.6× 16 0.7× 17 135
Maryrose Laguio‐Vila 68 2.1× 26 0.9× 39 1.4× 63 2.3× 7 0.3× 29 223
Cristina Schüffelmann 37 1.1× 27 0.9× 31 1.1× 11 0.4× 6 0.3× 14 227
Rodolfo Quirós 38 1.2× 66 2.3× 19 0.7× 33 1.2× 12 0.5× 26 177
Irina V. Andreeva 79 2.4× 63 2.2× 39 1.4× 13 0.5× 29 1.3× 25 174
Patricia L. Orlando 79 2.4× 16 0.6× 29 1.1× 20 0.7× 17 0.8× 17 275
Derek Cocker 48 1.5× 18 0.6× 16 0.6× 92 3.4× 7 0.3× 23 224

Countries citing papers authored by Kathryn Timberlake

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Timberlake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Timberlake

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