Éva Gömöri
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Glioma Diagnosis and Treatment
Papers in
- Surgery 7
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- Heat shock proteins research 3
- Protein Structure and Dynamics 2
- DNA Repair Mechanisms 1
- Co-authors
- László Seress (5 shared papers)Hajnalka Ábrahám (5 shared papers)Béla Veszprémi (4 shared papers)József Pál (3 shared papers)Tamás Dóczi (6 shared papers)András Szigeti (5 shared papers)Éva Pozsgai (5 shared papers)Szabolcs Bellyei (6 shared papers)
- Journals
- International Journal of Developmental Neuroscience (4 papers)Biomedicines (1 paper)International Immunology (1 paper)NeuroMolecular Medicine (1 paper)Diagnostic Pathology (1 paper)
- Partner nations
- HungaryUnited StatesAustria
In The Last Decade
Éva Gömöri
30 papers receiving 674 citations
Peers
Comparison fields: 5 of 93
- Developmental Neuroscience 53
- Genetics 61
- Cellular and Molecular Neuroscience 97
- Immunology 105
- Endocrinology, Diabetes and Metabolism 76
Countries citing papers authored by Éva Gömöri
This map shows the geographic impact of Éva Gömöri'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 Éva Gömöri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Gömöri more than expected).
Fields of papers citing papers by Éva Gömöri
This network shows the impact of papers produced by Éva Gömöri. 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 Éva Gömöri. The network helps show where Éva Gömöri may publish in the future.
Co-authors
The 25 scholars most cited alongside Éva Gömöri, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 82 | |
| 2 | 2010 | 72 | |
| 3 | 2011 | 67 | |
| 4 | 2000 | 66 | |
| 5 | 2008 | 48 | |
| 6 | 2007 | 47 | |
| 7 | 2006 | 40 | |
| 8 | 2006 | 36 | |
| 9 | 2012 | 31 | |
| 10 | 2000 | 30 | |
| 11 | 2001 | 23 | |
| 12 | 2007 | 21 | |
| 13 | 2009 | 14 | |
| 14 | 2002 | 14 | |
| 15 | 1999 | 13 | |
| 16 | 2007 | 13 | |
| 17 | 2007 | 12 | |
| 18 | 2011 | 12 | |
| 19 | 2003 | 11 | |
| 20 | 2010 | 10 |
About Éva Gömöri
Éva Gömöri is a scholar working on Surgery, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 32 papers that have together received 695 indexed citations. Recurring topics across this work include Heat shock proteins research (3 papers), Glioma Diagnosis and Treatment (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Polyomavirus and related diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (53 citations), Genetics (61 citations), Cellular and Molecular Neuroscience (97 citations), Immunology (105 citations) and Endocrinology, Diabetes and Metabolism (76 citations). Éva Gömöri has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include László Seress, Hajnalka Ábrahám, Béla Veszprémi, József Pál, Tamás Dóczi, András Szigeti, Éva Pozsgai, Szabolcs Bellyei, Árpád Boronkai and Balázs Sümegi. Their work appears in journals such as International Journal of Developmental Neuroscience, Biomedicines, International Immunology, NeuroMolecular Medicine and Diagnostic Pathology.
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.