David Mathews

411 total citations
9 papers, 267 citations indexed

About

David Mathews is a scholar working on Hematology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, David Mathews has authored 9 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Hematology, 2 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in David Mathews's work include Atrial Fibrillation Management and Outcomes (2 papers), HIV/AIDS drug development and treatment (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). David Mathews is often cited by papers focused on Atrial Fibrillation Management and Outcomes (2 papers), HIV/AIDS drug development and treatment (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). David Mathews collaborates with scholars based in United States, United Kingdom and Sweden. David Mathews's co-authors include Brett E. Skolnick, Paul Martin, Naum Khutoryansky, Marcus E. Carr, Anthony E. Pusateri, Eleanor Lisbon, Susanne Johansson, Jessica Read, Philip T. Leese and Mark L. Steinberg and has published in prestigious journals such as Blood, Clinical Pharmacokinetics and European Journal of Clinical Pharmacology.

In The Last Decade

David Mathews

9 papers receiving 262 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Mathews United States 8 71 57 55 51 43 9 267
P C Sharpe United Kingdom 7 72 1.0× 37 0.6× 123 2.2× 68 1.3× 25 0.6× 7 395
Dario Costa Italy 12 81 1.1× 24 0.4× 15 0.3× 54 1.1× 81 1.9× 18 318
Ibrahim Kalle Kwaifa Nigeria 3 44 0.6× 73 1.3× 16 0.3× 73 1.4× 75 1.7× 8 264
Selina Moy United States 9 55 0.8× 111 1.9× 49 0.9× 55 1.1× 27 0.6× 16 383
Murali Munisamy India 12 111 1.6× 50 0.9× 82 1.5× 27 0.5× 19 0.4× 35 405
Simona Sestili France 9 34 0.5× 48 0.8× 49 0.9× 36 0.7× 27 0.6× 19 245
Mohammad Saleh Jordan 9 27 0.4× 35 0.6× 16 0.3× 19 0.4× 26 0.6× 36 223
Rajiv Kumar India 9 40 0.6× 29 0.5× 33 0.6× 11 0.2× 18 0.4× 39 297
Artur Cieślewicz Poland 10 68 1.0× 27 0.5× 15 0.3× 79 1.5× 78 1.8× 34 309
Ana Sáez-Benito Spain 8 116 1.6× 96 1.7× 29 0.5× 24 0.5× 53 1.2× 19 354

Countries citing papers authored by David Mathews

Since Specialization
Citations

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

Fields of papers citing papers by David Mathews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mathews

This figure shows the co-authorship network connecting the top 25 collaborators of David Mathews. A scholar is included among the top collaborators of David Mathews 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 David Mathews. David Mathews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
So, Karen, Paul Martin, Yifan Huang, et al.. (2016). Effects of cytochrome P450 (CYP3A4 and CYP2C19) inhibition and induction on the exposure of selumetinib, a MEK1/2 inhibitor, in healthy subjects: results from two clinical trials. European Journal of Clinical Pharmacology. 73(2). 175–184. 23 indexed citations
2.
Martin, Paul, Michael Gillen, James M. Ritter, et al.. (2016). Effects of Fostamatinib on the Pharmacokinetics of Oral Contraceptive, Warfarin, and the Statins Rosuvastatin and Simvastatin: Results From Phase I Clinical Studies. Drugs in R&D. 16(1). 93–107. 34 indexed citations
3.
Flanagan, Talia, et al.. (2016). Effects of ranitidine (antacid), food, and formulation on the pharmacokinetics of fostamatinib: results from five phase I clinical studies. European Journal of Clinical Pharmacology. 73(2). 185–195. 9 indexed citations
4.
Johansson, Susanne, Jessica Read, Stuart Oliver, et al.. (2014). Pharmacokinetic Evaluations of the Co-Administrations of Vandetanib and Metformin, Digoxin, Midazolam, Omeprazole or Ranitidine. Clinical Pharmacokinetics. 53(9). 837–847. 52 indexed citations
5.
Das, Shampa, J. Armstrong, David Mathews, Jianguo Li, & Timi Edeki. (2013). Randomized, placebo‐controlled study to assess the impact on QT/QTc interval of supratherapeutic doses of ceftazidime–avibactam or ceftaroline fosamil–avibactam. The Journal of Clinical Pharmacology. 54(3). 331–340. 27 indexed citations
6.
7.
Peterschmitt, Michel, Amy C. Burke, Larry Blankstein, et al.. (2010). Safety, Tolerability, and Pharmacokinetics of Eliglustat Tartrate (Genz-112638) After Single Doses, Multiple Doses, and Food in Healthy Volunteers. The Journal of Clinical Pharmacology. 51(5). 695–705. 45 indexed citations
8.
Skolnick, Brett E., David Mathews, Naum Khutoryansky, Anthony E. Pusateri, & Marcus E. Carr. (2010). Exploratory study on the reversal of warfarin with rFVIIa in healthy subjects. Blood. 116(5). 693–701. 56 indexed citations
9.

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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