Csaba Kopitkó
Impact in
- Nephrology top 10%
- Acute Kidney Injury Research
- Renal function and acid-base balance
- Dialysis and Renal Disease Management
Papers in
- Surgery 6
- Hemodynamic Monitoring and Therapy 4
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- Acute Kidney Injury Research 6
- Renal function and acid-base balance 2
- Co-authors
- Tibor Gondos (8 shared papers)Tibor Fülöp (5 shared papers)Karim Soliman (3 shared papers)Mihály Tapolyai (1 shared paper)László Hangody (1 shared paper)Zsuzsanna Nagy (1 shared paper)Ibolya Kocsis (1 shared paper)Gellért Karvaly (1 shared paper)
- Journals
- Journal of Clinical Medicine (3 papers)Renal Failure (1 paper)The Nephron journals/Nephron journals (1 paper)ASAIO Journal (1 paper)The American Journal of the Medical Sciences (1 paper)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Csaba Kopitkó
10 papers receiving 86 citations
Peers
Comparison fields: 5 of 27
- Nephrology 47
- Critical Care and Intensive Care Medicine 8
- Surgery 64
- Anesthesiology and Pain Medicine 8
- Cardiology and Cardiovascular Medicine 26
Countries citing papers authored by Csaba Kopitkó
This map shows the geographic impact of Csaba Kopitkó'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 Csaba Kopitkó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Kopitkó more than expected).
Fields of papers citing papers by Csaba Kopitkó
This network shows the impact of papers produced by Csaba Kopitkó. 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 Csaba Kopitkó. The network helps show where Csaba Kopitkó may publish in the future.
Co-authors
The 13 scholars most cited alongside Csaba Kopitkó, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 25 | |
| 2 | 2019 | 17 | |
| 3 | 2018 | 11 | |
| 4 | 2021 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 6 | |
| 7 | 2016 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 1 |
About Csaba Kopitkó
Csaba Kopitkó is a scholar working on Surgery, Nephrology, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine and Pharmacology, having authored 10 papers that have together received 87 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (6 papers), Abdominal Surgery and Complications (5 papers), Hemodynamic Monitoring and Therapy (4 papers), Renal function and acid-base balance (2 papers), Antibiotics Pharmacokinetics and Efficacy (1 paper), Sepsis Diagnosis and Treatment (1 paper), Anesthesia and Sedative Agents (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Nephrology (47 citations), Critical Care and Intensive Care Medicine (8 citations), Surgery (64 citations), Anesthesiology and Pain Medicine (8 citations) and Cardiology and Cardiovascular Medicine (26 citations). Csaba Kopitkó has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Tibor Gondos, Tibor Fülöp, Karim Soliman, Mihály Tapolyai, László Hangody, Zsuzsanna Nagy, Ibolya Kocsis, Gellért Karvaly, László Rosivall and István Vincze. Their work appears in journals such as Journal of Clinical Medicine, Renal Failure, The Nephron journals/Nephron journals, ASAIO Journal and The American Journal of the Medical 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.