Éva Morava

16.5k citations
312 papers · 7.6k · h-index 47

Impact in

    • Metabolism and Genetic Disorders
    • Glycosylation and Glycoproteins Research
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research

Papers in

    • Glycosylation and Glycoproteins Research 87
    • Mitochondrial Function and Pathology 61
    • ATP Synthase and ATPases Research 28
    • Connective tissue disorders research 22
    • Genomics and Rare Diseases 22

Éva Morava

293 papers receiving 7.5k citations

Peers

Éva Morava
Comparison fields: 5 of 128
  • Clinical Biochemistry 1.7k
  • Molecular Biology 5.3k
  • Biochemistry 519
  • Biological Psychiatry 167
  • Genetics 1.6k
Replace Yu‐ichi Goto with:
Yu‐ichi Goto Japan
Rubén J. Boado United States
Anders Oldfors Sweden
Aleksandra Trifunović Germany
Gajja S. Salomons Netherlands
Fernando Scaglia United States
Rita Horváth United Kingdom
Richard I. Kelley United States
Miguel A. Martı́n Spain
Bwee Tien Poll‐The Netherlands
Éva Morava relative to Yu‐ichi Goto Japan Yu‐ichi Goto's profile →
Citations per field
00.5×1.5×
Yu‐ichi Goto · 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 312 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006357
2 2003297
3 2007259
4 2006202
5 2017181
6 2013170
7 2007146
8 2006128
9 2012122
10 2003108
11 200492
12 201387
13 201485
14 201881
15 200781
16 200980
17 200680
18 200875
19 201474
20 201071

About Éva Morava

Éva Morava is a scholar working on Molecular Biology, Genetics, Clinical Biochemistry, Physiology and Rheumatology, having authored 312 papers that have together received 7.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (87 papers), Metabolism and Genetic Disorders (73 papers), Mitochondrial Function and Pathology (61 papers), Lysosomal Storage Disorders Research (40 papers), ATP Synthase and ATPases Research (28 papers), Carbohydrate Chemistry and Synthesis (27 papers), Connective tissue disorders research (22 papers) and Genomics and Rare Diseases (22 papers). The work is most often cited by research in Clinical Biochemistry (1.7k citations), Molecular Biology (5.3k citations), Biochemistry (519 citations), Biological Psychiatry (167 citations) and Genetics (1.6k citations). Éva Morava has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Ron A. Wevers, Dirk J. Lefeber, Richard J. Rodenburg, Tamás Kozicz, Jan Smeıtınk, Saskia B. Wortmann, Suzan Wopereis, Jaak Jaeken, Peter Witters and Leo A. J. Kluijtmans. Their work appears in journals such as Molecular Genetics and Metabolism, Journal of Inherited Metabolic Disease, European Journal of Human Genetics, Clinical Chemistry and Genetics in Medicine.

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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