M. Elleder
Impact in
- Physiology top 0.5%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
- Cell Biology top 1%
- Cellular transport and secretion
Papers in
- Physiology 109
- Lysosomal Storage Disorders Research 102
- Cell Biology 39
- Cellular transport and secretion 25
- Co-authors
- Jana Ledvinová (30 shared papers)Helena Hůlková (24 shared papers)Helena Poupětová (17 shared papers)Z Lojda (15 shared papers)J Borovanský (7 shared papers)Fr. Šmíd (16 shared papers)J Zeman (24 shared papers)Martin Hřebı́ček (8 shared papers)
- Journals
- Journal of Inherited Metabolic Disease (16 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (16 papers)Acta Neuropathologica (9 papers)Histochemistry and Cell Biology (7 papers)Molecular Genetics and Metabolism (7 papers)
- Partner nations
- CzechiaGermanyUnited States
In The Last Decade
M. Elleder
196 papers receiving 5.7k citations
M. Elleder's Hit Papers
Peers
Comparison fields: 5 of 132
- Physiology 3.7k
- Physiology 564
- Cell Biology 1.3k
- Clinical Biochemistry 316
- Rheumatology 659
Countries citing papers authored by M. Elleder
This map shows the geographic impact of M. Elleder'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 M. Elleder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Elleder more than expected).
Fields of papers citing papers by M. Elleder
This network shows the impact of papers produced by M. Elleder. 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 M. Elleder. The network helps show where M. Elleder may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Elleder, 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 201 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Niemann-Pick C1 Disease Gene: Homology to Mediators of Cholesterol Homeostasis Hit paper breakdown → | 1997 | 1273 |
| 2 | 2011 | 221 | |
| 3 | 2000 | 209 | |
| 4 | 1990 | 195 | |
| 5 | 2010 | 163 | |
| 6 | 2005 | 147 | |
| 7 | 2001 | 134 | |
| 8 | 2009 | 128 | |
| 9 | 2001 | 127 | |
| 10 | 2009 | 120 | |
| 11 | 1997 | 114 | |
| 12 | 2006 | 102 | |
| 13 | 2005 | 89 | |
| 14 | 2003 | 82 | |
| 15 | 2003 | 79 | |
| 16 | 2012 | 74 | |
| 17 | 1985 | 72 | |
| 18 | 2000 | 72 | |
| 19 | 2009 | 71 | |
| 20 | 2010 | 59 |
About M. Elleder
M. Elleder is a scholar working on Physiology, Cell Biology, Rheumatology, Molecular Biology and Hematology, having authored 201 papers that have together received 6.0k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (102 papers), Cellular transport and secretion (25 papers), Glycosylation and Glycoproteins Research (19 papers), Carbohydrate Chemistry and Synthesis (18 papers), Glycogen Storage Diseases and Myoclonus (16 papers), Biomedical Research and Pathophysiology (15 papers), Mitochondrial Function and Pathology (14 papers) and Trypanosoma species research and implications (13 papers). The work is most often cited by research in Physiology (3.7k citations), Physiology (564 citations), Cell Biology (1.3k citations), Clinical Biochemistry (316 citations) and Rheumatology (659 citations). M. Elleder has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include Jana Ledvinová, Helena Hůlková, Helena Poupětová, Z Lojda, J Borovanský, Fr. Šmíd, J Zeman, Martin Hřebı́ček, Lenka Dvořáková and Jan Bultas. Their work appears in journals such as Journal of Inherited Metabolic Disease, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Acta Neuropathologica, Histochemistry and Cell Biology and Molecular Genetics and Metabolism.
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.