Mátyás Szigeti
- Reproductive Medicine top 5%
- Cardiology and Cardiovascular Medicine
- Physiology
- Molecular Biology
- Surgery
- Co-authors
- Deborah AshbyMary CrossWaljit S. DhilloStephen R. BloomJulia PragueChanna JayasenaChioma Izzi‐EngbeayaAdam Buckley
- Topics
- Blood Pressure and Hypertension Studies (4 papers)Cardiac Arrhythmias and Treatments (3 papers)Diabetes Management and Research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismHypertension
- Partner nations
- United KingdomHungaryUnited States
In The Last Decade
Mátyás Szigeti
18 papers receiving 290 citations
Peers
Comparison fields: 5 of 74
- Reproductive Medicine 100
- Cardiology and Cardiovascular Medicine 56
- Physiology 53
- Molecular Biology 51
- Surgery 47
Countries citing papers authored by Mátyás Szigeti
This map shows the geographic impact of Mátyás Szigeti'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 Mátyás Szigeti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mátyás Szigeti more than expected).
Fields of papers citing papers by Mátyás Szigeti
This network shows the impact of papers produced by Mátyás Szigeti. 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 Mátyás Szigeti. The network helps show where Mátyás Szigeti may publish in the future.
Co-authorship network of co-authors of Mátyás Szigeti
This figure shows the co-authorship network connecting the top 25 collaborators of Mátyás Szigeti. A scholar is included among the top collaborators of Mátyás Szigeti 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 Mátyás Szigeti. Mátyás Szigeti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 23 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 53 | |
| 16 | A Randomised, Double-Blind, Placebo-Controlled Study To Evaluate The Efficacy Of Oral Azithromycin (500 Mg Od) As A Supplement To Standard Care For Adult Patients With Acute Exacerbations Of Asthma (the Azalea Trial) | 1 |
| 17 | 1 | |
| 18 | 57 | |
| 19 | 0 | |
| 20 | 108 |
About Mátyás Szigeti
Mátyás Szigeti is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Occupational Therapy, having authored 23 papers that have together received 294 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Cardiac Arrhythmias and Treatments (3 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Reproductive Medicine (100 citations), Chemical Health and Safety (3 citations) and Internal Medicine (15 citations). Mátyás Szigeti has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include Deborah Ashby, Mary Cross, Waljit S. Dhillo, Stephen R. Bloom, Julia Prague, Channa Jayasena, Chioma Izzi‐Engbeaya, Adam Buckley, Ali Abbara and Alexander Comninos. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Hypertension.
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.