James T. Matthews
- Epidemiology top 10%
- Immunology
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Genetics
- Co-authors
- Moira HagenMark KrystalLaurence TileyRoselyn J. EisenbergGary H. CohenDeborah LongBrian TerryJohn T. Stevens
- Topics
- Herpesvirus Infections and Treatments (9 papers)Glycosylation and Glycoproteins Research (3 papers)Virus-based gene therapy research (3 papers)
- Cited by
- EpidemiologyVirologyImmunology
- Partner nations
- United StatesSwedenGermany
In The Last Decade
James T. Matthews
15 papers receiving 563 citations
Peers
Comparison fields: 5 of 42
- Epidemiology 469
- Immunology 181
- Molecular Biology 178
- Radiology, Nuclear Medicine and Imaging 114
- Genetics 113
Countries citing papers authored by James T. Matthews
This map shows the geographic impact of James T. Matthews'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 James T. Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Matthews more than expected).
Fields of papers citing papers by James T. Matthews
This network shows the impact of papers produced by James T. Matthews. 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 James T. Matthews. The network helps show where James T. Matthews may publish in the future.
Co-authorship network of co-authors of James T. Matthews
This figure shows the co-authorship network connecting the top 25 collaborators of James T. Matthews. A scholar is included among the top collaborators of James T. Matthews 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 James T. Matthews. James T. Matthews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 151 | |
| 3 | 46 | |
| 4 | 28 | |
| 5 | 36 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 33 | |
| 9 | 25 | |
| 10 | 150 | |
| 11 | 42 | |
| 12 | 31 | |
| 13 | 2 | |
| 14 | Advanced Rotary-Wing Handling Qualities | 1 |
| 15 | Review and Investigation of Unsatisfactory Control Characteristics Involving Instability of Pilot-airplane Combination and Methods for Predicting These Difficulties from Ground Tests | 3 |
About James T. Matthews
James T. Matthews is a scholar working on Virology, Epidemiology and Genetics, having authored 15 papers that have together received 604 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (9 papers), Glycosylation and Glycoproteins Research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Epidemiology (469 citations), Virology (55 citations) and Immunology (181 citations). James T. Matthews has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Moira Hagen, Mark Krystal, Laurence Tiley, Roselyn J. Eisenberg, Gary H. Cohen, Deborah Long, Brian Terry, John T. Stevens, Manuel Ponce de Leon and Phillip W. Berman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Journal of Virology.
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.