Éva Gömöri
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Glioma Diagnosis and Treatment
Papers in ⓘ
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- Protein Structure and Dynamics 3
- Heat shock proteins research 3
- Surgery 8
- 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)Szabolcs Bellyei (6 shared papers)Éva Pozsgai (5 shared papers)András Szigeti (5 shared papers)
- Journals
- International Journal of Developmental Neuroscience (4 papers)Acta Neurochirurgica (1 paper)The American Journal of Surgical Pathology (1 paper)Clinical Neuropathology (1 paper)Diagnostic Pathology (1 paper)
- Partner nations
- HungaryUnited StatesSweden
In The Last Decade
Éva Gömöri
31 papers receiving 651 citations
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 55
- Genetics 79
- Cellular and Molecular Neuroscience 94
- Immunology 109
- Endocrinology, Diabetes and Metabolism 71
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 79 | |
| 2 | 2010 | 69 | |
| 3 | 2011 | 65 | |
| 4 | 2000 | 54 | |
| 5 | 2008 | 48 | |
| 6 | 2007 | 43 | |
| 7 | 2006 | 35 | |
| 8 | 2006 | 34 | |
| 9 | 2012 | 29 | |
| 10 | 2000 | 29 | |
| 11 | 2001 | 22 | |
| 12 | 2007 | 19 | |
| 13 | 2009 | 15 | |
| 14 | 2002 | 13 | |
| 15 | 1999 | 13 | |
| 16 | 2007 | 12 | |
| 17 | 2003 | 11 | |
| 18 | 2011 | 11 | |
| 19 | 2007 | 10 | |
| 20 | 2010 | 10 |
About Éva Gömöri
Éva Gömöri is a scholar working on Molecular Biology, Surgery, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 662 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Glioma Diagnosis and Treatment (3 papers), Heat shock proteins research (3 papers), Genetic factors in colorectal cancer (2 papers), Polyomavirus and related diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Developmental Neuroscience (55 citations), Genetics (79 citations), Cellular and Molecular Neuroscience (94 citations), Immunology (109 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Éva Gömöri has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include László Seress, Hajnalka Ábrahám, Béla Veszprémi, József Pál, Tamás Dóczi, Szabolcs Bellyei, Éva Pozsgai, András Szigeti, Balázs Sümegi and Gábor G. Kovács. Their work appears in journals such as International Journal of Developmental Neuroscience, Acta Neurochirurgica, The American Journal of Surgical Pathology, Clinical Neuropathology 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.