Gábor Szalai
- Neurology top 10%
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 4
- Hematology top 10%
- Platelet Disorders and Treatments 3
- Physiology top 5%
- Cell Biology top 10%
- Aldose Reductase and Taurine 4
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- Pregnancy and preeclampsia studies 8
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- Prenatal Screening and Diagnostics 5
- Birth, Development, and Health 4
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- Pancreatic function and diabetes 4
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- Genetic Syndromes and Imprinting 3
- Co-authors
- György HajnóczkyRajeshwari KrishnamurthyDennis K. WatsonGyörgy CsordásAndrew P. ThomasBasil M. HantashAnna CsiszárZoltán Ungvári
- Cited by
- NeurologyMolecular BiologyHematology
- Journals
- Journal of Biological Chemistry (3 papers)Immunogenetics (2 papers)Biochemical Genetics (2 papers)
- Partner nations
- United StatesHungarySwitzerland
In The Last Decade
Gábor Szalai
54 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 132
- Neurology 127
- Molecular Biology 914
- Hematology 142
- Physiology 55
- Cell Biology 193
Countries citing papers authored by Gábor Szalai
This map shows the geographic impact of Gábor Szalai'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 Gábor Szalai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Szalai more than expected).
Fields of papers citing papers by Gábor Szalai
This network shows the impact of papers produced by Gábor Szalai. 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 Gábor Szalai. The network helps show where Gábor Szalai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gábor Szalai, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2021 | 16 | |
| 4 | 2017 | 37 | |
| 5 | 2015 | 34 | |
| 6 | 2014 | 10 | |
| 7 | 2013 | 19 | |
| 8 | 2011 | 18 | |
| 9 | 2011 | 18 | |
| 10 | 2010 | 24 | |
| 11 | 2008 | 3 | |
| 12 | 2004 | 69 | |
| 13 | 2001 | 2 | |
| 14 | 2001 | 4 | |
| 15 | 2000 | 194 | |
| 16 | 1999 | 420 | |
| 17 | 1995 | 7 | |
| 18 | 1994 | 37 | |
| 19 | 1994 | 2 | |
| 20 | 1993 | 10 |
About Gábor Szalai
Gábor Szalai is a scholar working on Obstetrics and Gynecology, Equine, Aging, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Prenatal Screening and Diagnostics (5 papers), Birth, Development, and Health (4 papers), Mitochondrial Function and Pathology (4 papers), Aldose Reductase and Taurine (4 papers), Pancreatic function and diabetes (4 papers), Genetic Syndromes and Imprinting (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Neurology (127 citations), Molecular Biology (914 citations), Hematology (142 citations), Physiology (55 citations) and Cell Biology (193 citations). Gábor Szalai has collaborated with scholars based in United States, Hungary and Switzerland. Frequent co-authors include György Hajnóczky, Rajeshwari Krishnamurthy, Dennis K. Watson, György Csordás, Andrew P. Thomas, Basil M. Hantash, Anna Csiszár, Zoltán Ungvári, Maria Trojanowska and Yoshihide Asano. Their work appears in journals such as Journal of Biological Chemistry, Immunogenetics, Biochemical Genetics, Gynecologic and Obstetric Investigation and Animal Genetics.
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.