Tamás Szakmány
- Epidemiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Critical Care and Intensive Care Medicine top 1%
- Surgery top 10%
- Emergency Medicine top 2%
- Co-authors
- Zsolt MolnárMarc LéoneXavier WitteboleJean‐Louis VincentYasser SakrA MikorTamás LeinerSilvio A. Ñamendys‐Silva
- Topics
- Sepsis Diagnosis and Treatment (32 papers)Respiratory Support and Mechanisms (23 papers)Intensive Care Unit Cognitive Disorders (17 papers)
- Cited by
- Critical Care and Intensive Care MedicineEmergency MedicineAnesthesiology and Pain Medicine
- Partner nations
- United KingdomHungaryUnited States
In The Last Decade
Tamás Szakmány
89 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Epidemiology 577
- Pulmonary and Respiratory Medicine 432
- Critical Care and Intensive Care Medicine 405
- Surgery 350
- Emergency Medicine 227
Countries citing papers authored by Tamás Szakmány
This map shows the geographic impact of Tamás Szakmány'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 Tamás Szakmány with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Szakmány more than expected).
Fields of papers citing papers by Tamás Szakmány
This network shows the impact of papers produced by Tamás Szakmány. 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 Tamás Szakmány. The network helps show where Tamás Szakmány may publish in the future.
Co-authorship network of co-authors of Tamás Szakmány
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Szakmány. A scholar is included among the top collaborators of Tamás Szakmány 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 Tamás Szakmány. Tamás Szakmány is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 31 | |
| 11 | 7 | |
| 12 | 19 | |
| 13 | Sepsis in Intensive Care Unit Patients: Worldwide Data From the Intensive Care over Nations Auditbreakdown → | 306 |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 7 | |
| 18 | 22 | |
| 19 | 3 | |
| 20 | 30 |
About Tamás Szakmány
Tamás Szakmány is a scholar working on Critical Care and Intensive Care Medicine, Family Practice and Emergency Medicine, having authored 96 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (32 papers), Respiratory Support and Mechanisms (23 papers) and Intensive Care Unit Cognitive Disorders (17 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (405 citations), Emergency Medicine (227 citations) and Anesthesiology and Pain Medicine (109 citations). Tamás Szakmány has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include Zsolt Molnár, Marc Léone, Xavier Wittebole, Jean‐Louis Vincent, Yasser Sakr, A Mikor, Tamás Leiner, Silvio A. Ñamendys‐Silva, Mary‐Nicoleta Lupu and Ulrich Jaschinski. Their work appears in journals such as The Journal of Immunology, Scientific Reports and Cochrane Database of Systematic Reviews.
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.