Daniel Vyoral
Impact in
- Hematology top 2%
- Iron Metabolism and Disorders
- Erythropoietin and Anemia Treatment
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 21
- Iron Metabolism and Disorders 18
- Chronic Myeloid Leukemia Treatments 2
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- Trace Elements in Health 17
- Co-authors
- Jir̆ı́ Petrák (25 shared papers)Radek Čmejla (7 shared papers)Des R. Richardson (4 shared papers)Prem Ponka (3 shared papers)Jana Čmejlová (5 shared papers)Chris D. Vulpe (3 shared papers)Ondřej Toman (3 shared papers)Robert Ivánek (1 shared paper)
- Journals
- PROTEOMICS (4 papers)The International Journal of Biochemistry & Cell Biology (3 papers)PLoS ONE (2 papers)Blood (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (2 papers)
- Partner nations
- CzechiaUnited StatesAustralia
In The Last Decade
Daniel Vyoral
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Hematology 441
- Genetics 246
- Nutrition and Dietetics 333
- Molecular Biology 470
- Cell Biology 112
Countries citing papers authored by Daniel Vyoral
This map shows the geographic impact of Daniel Vyoral'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 Daniel Vyoral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Vyoral more than expected).
Fields of papers citing papers by Daniel Vyoral
This network shows the impact of papers produced by Daniel Vyoral. 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 Daniel Vyoral. The network helps show where Daniel Vyoral may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Vyoral, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 289 | |
| 2 | 1996 | 116 | |
| 3 | 2009 | 105 | |
| 4 | 2005 | 75 | |
| 5 | 2005 | 69 | |
| 6 | 2009 | 56 | |
| 7 | 2016 | 43 | |
| 8 | 2004 | 42 | |
| 9 | 2008 | 35 | |
| 10 | 2007 | 34 | |
| 11 | 2005 | 28 | |
| 12 | 2006 | 26 | |
| 13 | 1992 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2019 | 25 | |
| 16 | 2007 | 24 | |
| 17 | 1998 | 23 | |
| 18 | 2013 | 20 | |
| 19 | 2019 | 18 | |
| 20 | 2018 | 18 |
About Daniel Vyoral
Daniel Vyoral is a scholar working on Hematology, Nutrition and Dietetics, Genetics, Molecular Biology and Plant Science, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (18 papers), Trace Elements in Health (17 papers), Hemoglobinopathies and Related Disorders (13 papers), Plant Micronutrient Interactions and Effects (3 papers), Mitochondrial Function and Pathology (3 papers), Neurological diseases and metabolism (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Prion Diseases and Protein Misfolding (2 papers). The work is most often cited by research in Hematology (441 citations), Genetics (246 citations), Nutrition and Dietetics (333 citations), Molecular Biology (470 citations) and Cell Biology (112 citations). Daniel Vyoral has collaborated with scholars based in Czechia, United States and Australia. Frequent co-authors include Jir̆ı́ Petrák, Radek Čmejla, Des R. Richardson, Prem Ponka, Jana Čmejlová, Chris D. Vulpe, Ondřej Toman, Robert Ivánek, Róbert Šuťák and Petr Man. Their work appears in journals such as PROTEOMICS, The International Journal of Biochemistry & Cell Biology, PLoS ONE, Blood and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.
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.