Raymond J. Matta
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Statistics, Probability and Uncertainty top 5%
- Neurology
- Internal Medicine top 10%
- Co-authors
- Thomas C. ChalmersHarry SmithBernard LownJames E. LawlerTheodore P. ZahnBetsy C. LittleG. Frederick WootenJose Meller
- Topics
- Myasthenia Gravis and Thymoma (3 papers)Stress Responses and Cortisol (2 papers)Parkinson's Disease and Spinal Disorders (2 papers)
- Cited by
- Internal MedicineStatistics, Probability and UncertaintyCardiology and Cardiovascular Medicine
- Journals
- New England Journal of MedicineClinical Infectious DiseasesAnnals of the New York Academy of Sciences
- Partner nations
- United StatesCzechia
In The Last Decade
Raymond J. Matta
13 papers receiving 484 citations
Peers
Comparison fields: 5 of 95
- Cardiology and Cardiovascular Medicine 263
- Surgery 123
- Statistics, Probability and Uncertainty 83
- Neurology 55
- Internal Medicine 54
Countries citing papers authored by Raymond J. Matta
This map shows the geographic impact of Raymond J. Matta'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 Raymond J. Matta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond J. Matta more than expected).
Fields of papers citing papers by Raymond J. Matta
This network shows the impact of papers produced by Raymond J. Matta. 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 Raymond J. Matta. The network helps show where Raymond J. Matta may publish in the future.
Co-authorship network of co-authors of Raymond J. Matta
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond J. Matta. A scholar is included among the top collaborators of Raymond J. Matta 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 Raymond J. Matta. Raymond J. Matta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 36 | |
| 3 | Azathioprine experience in severe, generalized, recalcitrant myasthenia gravis. | 5 |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 298 | |
| 7 | 70 | |
| 8 | 58 | |
| 9 | 4 | |
| 10 | 32 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | 4 |
About Raymond J. Matta
Raymond J. Matta is a scholar working on Behavioral Neuroscience, Internal Medicine and Neurology, having authored 13 papers that have together received 559 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (3 papers), Stress Responses and Cortisol (2 papers) and Parkinson's Disease and Spinal Disorders (2 papers). The work is most often cited by research in Internal Medicine (54 citations), Statistics, Probability and Uncertainty (83 citations) and Cardiology and Cardiovascular Medicine (263 citations). Raymond J. Matta has collaborated with scholars based in United States and Czechia. Frequent co-authors include Thomas C. Chalmers, Harry Smith, Bernard Lown, James E. Lawler, Theodore P. Zahn, Betsy C. Little, G. Frederick Wooten, Jose Meller, Louis E. Teichholz and Gabriel Genkins. Their work appears in journals such as New England Journal of Medicine, Clinical Infectious Diseases and Annals of the New York Academy of Sciences.
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.