Charles Mathews

421 total citations
10 papers, 306 citations indexed

About

Charles Mathews is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Charles Mathews has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Charles Mathews's work include Genomics and Rare Diseases (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and BRCA gene mutations in cancer (2 papers). Charles Mathews is often cited by papers focused on Genomics and Rare Diseases (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and BRCA gene mutations in cancer (2 papers). Charles Mathews collaborates with scholars based in United States and Germany. Charles Mathews's co-authors include Robert Cook‐Deegan, Robert C. Green, Cathleen D. Zick, J. Scott Roberts, Shivang Doshi, Linda M. Sabatini, Madhuri Hegde, Katherine Tynan, Aaron Bossler and Tara L. Burke and has published in prestigious journals such as Journal of Clinical Oncology, CHEST Journal and Journal of Clinical Microbiology.

In The Last Decade

Charles Mathews

10 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Mathews United States 7 101 63 53 52 50 10 306
Sandra Suther United States 6 138 1.4× 36 0.6× 43 0.8× 37 0.7× 20 0.4× 20 278
Tryggvi Þorgeirsson Iceland 6 80 0.8× 98 1.6× 38 0.7× 50 1.0× 10 0.2× 10 270
Kathleen Klein United States 12 56 0.6× 36 0.6× 49 0.9× 125 2.4× 37 0.7× 31 349
Anne Marie Murphy United States 13 37 0.4× 25 0.4× 43 0.8× 91 1.8× 29 0.6× 43 429
Madeleine Freeman United Kingdom 8 174 1.7× 32 0.5× 32 0.6× 29 0.6× 16 0.3× 9 329
Younghun Han United States 15 150 1.5× 79 1.3× 82 1.5× 254 4.9× 24 0.5× 33 553
Arielle Sloan United States 8 61 0.6× 51 0.8× 25 0.5× 70 1.3× 13 0.3× 21 306
Sherry Grumet United States 6 322 3.2× 35 0.6× 59 1.1× 49 0.9× 32 0.6× 13 428
Margaret M. McGovern United States 9 257 2.5× 21 0.3× 55 1.0× 39 0.8× 22 0.4× 13 344
Ingeborg Blancquaert Canada 9 175 1.7× 21 0.3× 25 0.5× 26 0.5× 45 0.9× 12 292

Countries citing papers authored by Charles Mathews

Since Specialization
Citations

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

Fields of papers citing papers by Charles Mathews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Mathews

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

All Works

10 of 10 papers shown
1.
Deverka, Patricia A., Janis Geary, Charles Mathews, et al.. (2023). Payer reimbursement practices and incentives for improving interpretation of germline genetic testing. Journal of Law and the Biosciences. 10(2). lsad020–lsad020. 4 indexed citations
2.
Monzon, Federico A., et al.. (2019). Economic impact of the 31-gene expression profile test in the Medicare-eligible population with cutaneous melanoma.. Journal of Clinical Oncology. 37(15_suppl). 6630–6630. 4 indexed citations
3.
Miller, Melissa B., Carey‐Ann D. Burnham, Stephen J. Cavalieri, et al.. (2019). Clinical Utility of Advanced Microbiology Testing Tools. Journal of Clinical Microbiology. 57(9). 34 indexed citations
4.
Sabatini, Linda M., Charles Mathews, Shivang Doshi, et al.. (2016). Genomic Sequencing Procedure Microcosting Analysis and Health Economic Cost-Impact Analysis. Journal of Molecular Diagnostics. 18(3). 319–328. 72 indexed citations
5.
Doshi, Shivang, et al.. (2016). Economic Analysis of Alternative Strategies for Detection of ALK Rearrangements in Non Small Cell Lung Cancer. Diagnostics. 6(1). 4–4. 21 indexed citations
6.
Vachani, Anil, Nichole T. Tanner, Jyoti Aggarwal, et al.. (2014). Factors That Influence Physician Decision Making for Indeterminate Pulmonary Nodules. Annals of the American Thoracic Society. 11(10). 1586–1591. 23 indexed citations
7.
Diette, Gregory B., Anil Vachani, Nichole T. Tanner, et al.. (2013). Factors That Influence Physician Decision-Making for Indeterminate Pulmonary Nodules. CHEST Journal. 144(4). 647A–647A. 1 indexed citations
8.
Olchanski, Natalia, et al.. (2011). Assessment of the Influence of Test Characteristics on the Clinical and Cost Impacts of Methicillin-ResistantStaphylococcus aureusScreening Programs in US Hospitals. Infection Control and Hospital Epidemiology. 32(3). 250–257. 18 indexed citations
9.
Zick, Cathleen D., et al.. (2005). Genetic Testing For Alzheimer’s Disease And Its Impact On Insurance Purchasing Behavior. Health Affairs. 24(2). 483–490. 109 indexed citations
10.
Opitz, John M., et al.. (1965). X-linked mental retardation. Study of a large kindred with 20 affected members. The Journal of Pediatrics. 67(4). 713–714. 20 indexed citations

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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