Judit Bene
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
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- Antiplatelet Therapy and Cardiovascular Diseases
Papers in
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- Mitochondrial Function and Pathology 7
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- Metabolism and Genetic Disorders 22
- Co-authors
- Béla Melegh (58 shared papers)Kinga Hadzsiev (26 shared papers)Katalin Komlósi (20 shared papers)Viktória Havasi (13 shared papers)Ferenc Somogyvári (6 shared papers)András Kondacs (6 shared papers)Mihály Szabó (6 shared papers)Lajos Fodor (5 shared papers)
- Journals
- International Journal of Molecular Sciences (8 papers)Pathology & Oncology Research (4 papers)Journal of Molecular Neuroscience (3 papers)World Journal of Gastroenterology (3 papers)Thrombosis Research (2 papers)
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
Judit Bene
72 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Clinical Biochemistry 224
- Cardiology and Cardiovascular Medicine 148
- Physiology 140
- Endocrinology, Diabetes and Metabolism 82
- Genetics 146
Countries citing papers authored by Judit Bene
This map shows the geographic impact of Judit Bene'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 Judit Bene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judit Bene more than expected).
Fields of papers citing papers by Judit Bene
This network shows the impact of papers produced by Judit Bene. 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 Judit Bene. The network helps show where Judit Bene may publish in the future.
Co-authors
The 25 scholars most cited alongside Judit Bene, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 139 | |
| 2 | 2003 | 67 | |
| 3 | 2004 | 57 | |
| 4 | 2012 | 52 | |
| 5 | 2005 | 50 | |
| 6 | 2006 | 50 | |
| 7 | 2002 | 40 | |
| 8 | 2004 | 35 | |
| 9 | 2005 | 28 | |
| 10 | 2004 | 24 | |
| 11 | 2007 | 24 | |
| 12 | 2003 | 23 | |
| 13 | 2006 | 22 | |
| 14 | 2006 | 22 | |
| 15 | 2013 | 19 | |
| 16 | 2007 | 18 | |
| 17 | 2006 | 18 | |
| 18 | 2019 | 16 | |
| 19 | 2015 | 16 | |
| 20 | 2005 | 16 |
About Judit Bene
Judit Bene is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Pathology and Forensic Medicine and Neurology, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (22 papers), Mitochondrial Function and Pathology (7 papers), Neurofibromatosis and Schwannoma Cases (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), Genetic factors in colorectal cancer (5 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Hemoglobinopathies and Related Disorders (4 papers) and Soft tissue tumor case studies (4 papers). The work is most often cited by research in Clinical Biochemistry (224 citations), Cardiology and Cardiovascular Medicine (148 citations), Physiology (140 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Genetics (146 citations). Judit Bene has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Béla Melegh, Kinga Hadzsiev, Katalin Komlósi, Viktória Havasi, Ferenc Somogyvári, András Kondacs, Mihály Szabó, Lajos Fodor, Zoltán Szolnoki and Beáta Gasztonyi. Their work appears in journals such as International Journal of Molecular Sciences, Pathology & Oncology Research, Journal of Molecular Neuroscience, World Journal of Gastroenterology and Thrombosis Research.
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.