F. Šmíd
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- Glycosylation and Glycoproteins Research 9
- Physiology 14
- Lysosomal Storage Disorders Research 14
- Co-authors
- M. Elleder (16 shared papers)K. Harzer (5 shared papers)J. Ledvinová (4 shared papers)Adam Jirásek (5 shared papers)Wolfgang Roggendorf (1 shared paper)Barbara C. Paton (1 shared paper)V. A. Kral (1 shared paper)B. Kustermann‐Kuhn (1 shared paper)
- Journals
- Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (5 papers)Journal of Chromatography A (2 papers)Glycobiology (2 papers)Journal of Hepatology (2 papers)Acta Neuropathologica (2 papers)
- Partner nations
- CzechiaGermanyUnited Kingdom
In The Last Decade
F. Šmíd
29 papers receiving 619 citations
Peers
Comparison fields: 5 of 63
- Physiology 458
- Cell Biology 151
- Physiology 40
- Rheumatology 75
- Clinical Biochemistry 29
Countries citing papers authored by F. Šmíd
This map shows the geographic impact of F. Šmíd'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 F. Šmíd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Šmíd more than expected).
Fields of papers citing papers by F. Šmíd
This network shows the impact of papers produced by F. Šmíd. 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 F. Šmíd. The network helps show where F. Šmíd may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Šmíd, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 187 | |
| 2 | 1993 | 119 | |
| 3 | 1985 | 70 | |
| 4 | A densitometric method for the determination of gangliosides after their separation by thin-layer chromatography and detection with resorcinol reagent. | 1973 | 37 |
| 5 | 1973 | 37 | |
| 6 | 1998 | 32 | |
| 7 | 1984 | 28 | |
| 8 | 1980 | 22 | |
| 9 | 1984 | 19 | |
| 10 | 1975 | 17 | |
| 11 | 1975 | 16 | |
| 12 | 1983 | 15 | |
| 13 | 1978 | 13 | |
| 14 | 2010 | 11 | |
| 15 | 2014 | 8 | |
| 16 | 1978 | 7 | |
| 17 | 2012 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2001 | 4 | |
| 20 | Analysis of Liver Tissue in Sphingomyelinase-Deficient Patients | 1980 | 3 |
About F. Šmíd
F. Šmíd is a scholar working on Molecular Biology, Physiology, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 670 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (14 papers), Glycosylation and Glycoproteins Research (9 papers), Biomedical Research and Pathophysiology (5 papers), Neonatal Health and Biochemistry (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Diet, Metabolism, and Disease (3 papers) and Glycogen Storage Diseases and Myoclonus (3 papers). The work is most often cited by research in Physiology (458 citations), Cell Biology (151 citations), Physiology (40 citations), Rheumatology (75 citations) and Clinical Biochemistry (29 citations). F. Šmíd has collaborated with scholars based in Czechia, Germany and United Kingdom. Frequent co-authors include M. Elleder, K. Harzer, J. Ledvinová, Adam Jirásek, Wolfgang Roggendorf, Barbara C. Paton, V. A. Kral, B. Kustermann‐Kuhn, G. T. N. Besley and Daniel Floryk. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Journal of Chromatography A, Glycobiology, Journal of Hepatology and Acta Neuropathologica.
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.