Jan Beneš
Impact in
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- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Nephrology top 5%
- Acute Kidney Injury Research
- Renal function and acid-base balance
Papers in
- Surgery 34
- Hemodynamic Monitoring and Therapy 25
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- Trauma, Hemostasis, Coagulopathy, Resuscitation 13
- Co-authors
- Richard Pradl (9 shared papers)Ivan Chytra (8 shared papers)Eduard Kasal (7 shared papers)Martin Štěpán (2 shared papers)Mariateresa Giglio (1 shared paper)Frédèric Michard (1 shared paper)Nicola Brienza (1 shared paper)Martin Matějovič (16 shared papers)
In The Last Decade
Jan Beneš
86 papers receiving 1.6k citations
Jan Beneš's Hit Papers
Peers
Comparison fields: 5 of 108
- Critical Care and Intensive Care Medicine 242
- Nephrology 148
- Cardiology and Cardiovascular Medicine 375
- Surgery 700
- Applied Microbiology and Biotechnology 22
Countries citing papers authored by Jan Beneš
This map shows the geographic impact of Jan Beneš'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 Jan Beneš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Beneš more than expected).
Fields of papers citing papers by Jan Beneš
This network shows the impact of papers produced by Jan Beneš. 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 Jan Beneš. The network helps show where Jan Beneš may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Beneš, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Intraoperative fluid optimization using stroke volume variation in high risk surgical patients: results of prospective randomized study Hit paper breakdown → | 2010 | 350 |
| 2 | 2014 | 173 | |
| 3 | 2012 | 120 | |
| 4 | 2011 | 81 | |
| 5 | 2013 | 61 | |
| 6 | 2015 | 50 | |
| 7 | 2001 | 47 | |
| 8 | 2010 | 39 | |
| 9 | 2015 | 38 | |
| 10 | 2014 | 36 | |
| 11 | 2019 | 33 | |
| 12 | 2017 | 30 | |
| 13 | 2015 | 29 | |
| 14 | 2019 | 28 | |
| 15 | 2020 | 28 | |
| 16 | 2018 | 25 | |
| 17 | 2021 | 25 | |
| 18 | 2017 | 22 | |
| 19 | 1976 | 20 | |
| 20 | 2018 | 19 |
About Jan Beneš
Jan Beneš is a scholar working on Surgery, Critical Care and Intensive Care Medicine, Organic Chemistry, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (25 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (13 papers), Sepsis Diagnosis and Treatment (12 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers), Non-Invasive Vital Sign Monitoring (6 papers), Renal function and acid-base balance (6 papers), Fungal Biology and Applications (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (242 citations), Nephrology (148 citations), Cardiology and Cardiovascular Medicine (375 citations), Surgery (700 citations) and Applied Microbiology and Biotechnology (22 citations). Jan Beneš has collaborated with scholars based in Czechia, Slovakia and Canada. Frequent co-authors include Richard Pradl, Ivan Chytra, Eduard Kasal, Martin Štěpán, Mariateresa Giglio, Frédèric Michard, Nicola Brienza, Martin Matějovič, Jakub Kletečka and J Chvojka. Their work appears in journals such as Critical Care, Journal of Clinical Monitoring and Computing, Minerva Anestesiologica, BMC Anesthesiology and BioMed Research International.
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.