Eva Dombi

107 papers receiving 5.7k citations

Eva Dombi's Hit Papers

Selumetinib in Children with Inoperable Plexiform Neurofibromas 2020 · 507 citations
5070+3+6Years since publication100200300400500

Peers

Eva Dombi
Comparison fields: 5 of 100
  • Neurology 4k
  • Genetics 229
  • Pulmonary and Respiratory Medicine 345
  • Endocrinology, Diabetes and Metabolism 146
  • Oncology 189
Replace Max Maria van Noesel with:
Max Maria van Noesel Netherlands
Dietrich von Schweinitz Germany
Bruno De Bernardi Italy
Brian Weiss United States
Godelieve A.M. Tytgat Netherlands
Éric Pasmant France
Penelope Rachel Brock United Kingdom
Edward J. Dropcho United States
Renata Boldrini Italy
ADJ Pearson United Kingdom
Eva Dombi relative to Max Maria van Noesel Netherlands Max Maria van Noesel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eva Dombi

Since Specialization
Citations

This map shows the geographic impact of Eva Dombi'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 Eva Dombi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Dombi more than expected).

Fields of papers citing papers by Eva Dombi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Dombi. 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 Eva Dombi. The network helps show where Eva Dombi may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva Dombi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Dombi Line = papers co-authored together Eva Dombi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Activity of Selumetinib in Neurofibromatosis Type 1–Related Plexiform Neurofibromas
Hit paper breakdown →
2016532
2
Selumetinib in Children with Inoperable Plexiform Neurofibromas
Hit paper breakdown →
2020507
3 2012279
4 2008217
5 2007169
6 2013128
7 2013126
8 2012122
9 2014115
10 2012111
11 2016107
12 2014104
13 202298
14 201096
15 202196
16 201490
17 201987
18 202387
19 201585
20 201884

About Eva Dombi

Eva Dombi is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism, Gastroenterology, Genetics and Orthopedics and Sports Medicine, having authored 114 papers that have together received 5.8k indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (93 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Bone Tumor Diagnosis and Treatments (2 papers), Bone health and osteoporosis research (2 papers), Meningioma and schwannoma management (2 papers), Glioma Diagnosis and Treatment (2 papers) and Ethics in Clinical Research (2 papers). The work is most often cited by research in Neurology (4k citations), Genetics (229 citations), Pulmonary and Respiratory Medicine (345 citations), Endocrinology, Diabetes and Metabolism (146 citations) and Oncology (189 citations). Eva Dombi has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Brigitte Widemann, Seth M. Steinberg, Pam Wolters, Elizabeth Fox, Frank M. Balis, Jeffrey M. Solomon, Andrea M. Baldwin, Jianqiang Wu, Nancy Ratner and Mi‐Ok Kim. Their work appears in journals such as Neuro-Oncology, Neurology, Clinical Cancer Research, Pediatric Blood & Cancer and Journal of Clinical Oncology.

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.

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