Éva Morava

413 papers receiving 12.9k citations

Peers

Éva Morava
Comparison fields: 5 of 146
  • Clinical Biochemistry 3.8k
  • Rheumatology 2.8k
  • Molecular Biology 5.6k
  • Physiology 2.2k
  • Genetics 2.1k
Replace Salvatore DiMauro with:
Salvatore DiMauro United States
Pascale de Lonlay France
Corrado Italo Angelini Italy
Jaak Jaeken Belgium
Michio Hirano United States
Richard J. Rodenburg Netherlands
Àngels García‐Cazorla Spain
Reuben K. Matalon United States
Anu Suomalainen Finland
Filippo Maria Santorelli Italy
Éva Morava relative to Salvatore DiMauro United States Salvatore DiMauro's profile →
Citations per field
00.5×1.5×1.8×
Salvatore DiMauro · 1×
Citations per year

Countries citing papers authored by Éva Morava

Since Specialization
Citations

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

Fields of papers citing papers by Éva Morava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Éva Morava, 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 Éva Morava Line = papers co-authored together Éva Morava links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 435 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006397
2 2003341
3 2007308
4 2010255
5 2014242
6 2006234
7 2017209
8 2013199
9 2012177
10 2007173
11 2010169
12 2009168
13 2012151
14 2006141
15 2012133
16 2003128
17 2011127
18 2012120
19 2016116
20 2019114

About Éva Morava

Éva Morava is a scholar working on Clinical Biochemistry, Rheumatology, Physiology, Genetics and Molecular Biology, having authored 435 papers that have together received 13.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (184 papers), Glycogen Storage Diseases and Myoclonus (123 papers), Lysosomal Storage Disorders Research (100 papers), Glycosylation and Glycoproteins Research (77 papers), Mitochondrial Function and Pathology (51 papers), Genomics and Rare Diseases (40 papers), Connective tissue disorders research (30 papers) and Genetics and Neurodevelopmental Disorders (24 papers). The work is most often cited by research in Clinical Biochemistry (3.8k citations), Rheumatology (2.8k citations), Molecular Biology (5.6k citations), Physiology (2.2k citations) and Genetics (2.1k citations). Éva Morava has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Ron A. Wevers, Dirk J. Lefeber, Richard J. Rodenburg, Tamás Kozicz, Jan A.M. Smeitink, Jaak Jaeken, Saskia Brigitte Wortmann, Suzan Wopereis, Peter Witters and Maïlys Guillard. Their work appears in journals such as Journal of Inherited Metabolic Disease, Molecular Genetics and Metabolism, Genetics in Medicine, The American Journal of Human Genetics and European Journal of Human Genetics.

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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