János Gál

89 papers receiving 1.1k citations

Peers

János Gál
Comparison fields: 5 of 109
  • Critical Care and Intensive Care Medicine 254
  • Nephrology 193
  • Emergency Medicine 182
  • Applied Microbiology and Biotechnology 31
  • Molecular Medicine 71
Replace Nahit Çakar with:
Nahit Çakar Türkiye
Matthias Gründling Germany
Raphaël Cinotti France
Daniela Pasero Italy
Scott W. Mueller United States
Francis Colardyn Belgium
Edoardo Picetti Italy
J. Matthias Walz United States
Ioannis Pneumatikos Greece
Figen Esen Türkiye
János Gál relative to Nahit Çakar Türkiye Nahit Çakar's profile →
Citations per field
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Citations per year

Countries citing papers authored by János Gál

Since Specialization
Citations

This map shows the geographic impact of János Gál'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 János Gál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites János Gál more than expected).

Fields of papers citing papers by János Gál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by János Gál. 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 János Gál. The network helps show where János Gál may publish in the future.

Co-authors

The 25 scholars most cited alongside János Gál, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with János Gál Line = papers co-authored together János Gál links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2 201394
3 201279
4 201272
5 201670
6 201856
7 201055
8 200737
9 201734
10 199729
11 201728
12 202025
13 201425
14 201924
15 200819
16 201618
17 200717
18 201115
19 201914
20 201814

About János Gál

János Gál is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Emergency Medicine, having authored 102 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (19 papers), Cardiac Arrest and Resuscitation (16 papers), Hemodynamic Monitoring and Therapy (9 papers), Nosocomial Infections in ICU (8 papers), Intensive Care Unit Cognitive Disorders (8 papers), Respiratory Support and Mechanisms (7 papers), Sepsis Diagnosis and Treatment (7 papers) and Transplantation: Methods and Outcomes (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (254 citations), Nephrology (193 citations), Emergency Medicine (182 citations), Applied Microbiology and Biotechnology (31 citations) and Molecular Medicine (71 citations). János Gál has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Andrea Székely, Erzsébet Sápi, Daniel J. Lex, Zsuzsanna Cserép, Tamás Breuer, András Szatmári, Roland Tóth, Edgár Székely, Zsolt Iványi and Miklós D. Kertai. Their work appears in journals such as Journal of Cardiothoracic and Vascular Anesthesia, Critical Care, Annals of the New York Academy of Sciences, The Annals of Thoracic Surgery and European Journal of Anaesthesiology.

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.

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