Katalin J. Kovács
- Behavioral Neuroscience top 10%
- Sensory Systems top 5%
- Virology top 10%
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- Hyperglycemia and glycemic control in critically ill and hospitalized patients 7
- Diabetes Management and Research 6
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- Neuropeptides and Animal Physiology 7
- Neuroscience and Neuropharmacology Research 5
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- Pain Mechanisms and Treatments 13
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- Pharmacological Receptor Mechanisms and Effects 4
- Metabolism, Diabetes, and Cancer 4
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- Immune Cell Function and Interaction 4
Katalin J. Kovács
54 papers receiving 741 citations
Peers
Comparison fields: 5 of 106
- Behavioral Neuroscience 50
- Sensory Systems 65
- Virology 54
- Endocrinology, Diabetes and Metabolism 143
- Cellular and Molecular Neuroscience 150
Countries citing papers authored by Katalin J. Kovács
This map shows the geographic impact of Katalin J. Kovács'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 Katalin J. Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin J. Kovács more than expected).
Fields of papers citing papers by Katalin J. Kovács
This network shows the impact of papers produced by Katalin J. Kovács. 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 Katalin J. Kovács. The network helps show where Katalin J. Kovács may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katalin J. Kovács, 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 | 2025 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2019 | 15 | |
| 9 | 2014 | 1 | |
| 10 | 2013 | 54 | |
| 11 | 2011 | 7 | |
| 12 | 2007 | 8 | |
| 13 | 2006 | 11 | |
| 14 | 2005 | 24 | |
| 15 | 2005 | 15 | |
| 16 | 2004 | 23 | |
| 17 | 2003 | 28 | |
| 18 | 2002 | 14 | |
| 19 | 2000 | 37 | |
| 20 | 1995 | 12 |
About Katalin J. Kovács
Katalin J. Kovács is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Endocrinology, Diabetes and Metabolism and Rehabilitation, having authored 61 papers that have together received 771 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (13 papers), Neuropeptides and Animal Physiology (7 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (7 papers), Diabetes Management and Research (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Behavioral Neuroscience (50 citations), Sensory Systems (65 citations), Virology (54 citations), Endocrinology, Diabetes and Metabolism (143 citations) and Cellular and Molecular Neuroscience (150 citations). Katalin J. Kovács has collaborated with scholars based in United States, Hungary and New Zealand. Frequent co-authors include Alice A. Larson, Éva Horváth, Scheithauer Bw, Randall Rv, Balázs Benyó, Alfred D. Steinberg, Kelley F. Kitto, Lois J. Kehl, Pamela J. Skinner and Eva G. Rakasz. Their work appears in journals such as Pain, European Journal of Pharmacology, European Journal of Neuroscience, Brain Research and Neuropharmacology.
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.