David Mathews

411 citations
9 papers · 267 · h-index 8

Impact in

Papers in

    • Chronic Myeloid Leukemia Treatments 2
    • Hemophilia Treatment and Research 1
    • HIV/AIDS drug development and treatment 2

David Mathews

9 papers receiving 262 citations

Peers

David Mathews
Comparison fields: 5 of 63
  • Internal Medicine 27
  • Molecular Medicine 25
  • Applied Microbiology and Biotechnology 7
  • Hematology 37
  • Genetics 35
Replace Vacis Tatarūnas with:
Vacis Tatarūnas Lithuania
Ryoichi Yano Japan
Murali Munisamy India
Annke Frick Germany
P C Sharpe United Kingdom
Dario Costa Italy
Arvid Jungnik Germany
Marc E. De Broe Belgium
Т. В. Вавилова Russia
Ellena Growcott United States
David Mathews relative to Vacis Tatarūnas Lithuania Vacis Tatarūnas's profile →
Citations per field
00.5×5.8×
Vacis Tatarūnas · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David Mathews, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Mathews Line = papers co-authored together David Mathews links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201056
2 201452
3 201045
4 201634
5 201327
6 201623
7 201220
8 20169
9 20071

About David Mathews

David Mathews is a scholar working on Hematology, Infectious Diseases, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 267 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), HIV/AIDS drug development and treatment (2 papers), Hemophilia Treatment and Research (1 paper), Cancer Treatment and Pharmacology (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Internal Medicine (27 citations), Molecular Medicine (25 citations), Applied Microbiology and Biotechnology (7 citations), Hematology (37 citations) and Genetics (35 citations). David Mathews has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Paul Martin, Brett E. Skolnick, Anthony E. Pusateri, Marcus E. Carr, Naum Khutoryansky, Eleanor Lisbon, Susanne Johansson, Mark L. Steinberg, Jessica Read and Philip T. Leese. Their work appears in journals such as Blood, European Journal of Clinical Pharmacology, The Journal of Clinical Pharmacology, Clinical Pharmacokinetics and Drugs in R&D.

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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