Vojtěch Bystrý
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
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- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
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- Genomics and Phylogenetic Studies 2
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- Immunodeficiency and Autoimmune Disorders 4
- Aquaculture disease management and microbiota 3
- Co-authors
- Nikos Darzentas (9 shared papers)Tomáš Reigl (6 shared papers)Adam Krejčí (5 shared papers)Andrea Grioni (6 shared papers)Κώστας Σταματόπουλος (2 shared papers)Leopold Sellner (3 shared papers)Peter Dreger (2 shared papers)Henrik Knecht (3 shared papers)
In The Last Decade
Vojtěch Bystrý
22 papers receiving 268 citations
Peers
Comparison fields: 5 of 39
- Genetics 132
- Hematology 69
- Pathology and Forensic Medicine 84
- Immunology 82
- Oncology 42
Countries citing papers authored by Vojtěch Bystrý
This map shows the geographic impact of Vojtěch Bystrý'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 Vojtěch Bystrý with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vojtěch Bystrý more than expected).
Fields of papers citing papers by Vojtěch Bystrý
This network shows the impact of papers produced by Vojtěch Bystrý. 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 Vojtěch Bystrý. The network helps show where Vojtěch Bystrý may publish in the future.
Co-authors
The 25 scholars most cited alongside Vojtěch Bystrý, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2017 | 49 | |
| 3 | 2015 | 33 | |
| 4 | 2016 | 25 | |
| 5 | 2015 | 20 | |
| 6 | 2017 | 10 | |
| 7 | 2021 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2019 | 2 | |
| 18 | ARResT/Interrogate IG/TR NGSデータに対するインタラクティブ免疫プロファイラ | 2017 | 1 |
| 19 | 2024 | 1 | |
| 20 | 2018 | 1 |
About Vojtěch Bystrý
Vojtěch Bystrý is a scholar working on Molecular Biology, Immunology, Genetics, Pathology and Forensic Medicine and Genetics, having authored 23 papers that have together received 271 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Aquaculture disease management and microbiota (3 papers), Fish biology, ecology, and behavior (2 papers), Genomics and Phylogenetic Studies (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Genetics (132 citations), Hematology (69 citations), Pathology and Forensic Medicine (84 citations), Immunology (82 citations) and Oncology (42 citations). Vojtěch Bystrý has collaborated with scholars based in Czechia, Italy and Germany. Frequent co-authors include Nikos Darzentas, Tomáš Reigl, Adam Krejčí, Andrea Grioni, Κώστας Σταματόπουλος, Leopold Sellner, Peter Dreger, Henrik Knecht, Monika Brüggemann and Lesley Ann Sutton. Their work appears in journals such as Bioinformatics, Blood, BMC Bioinformatics, Structure and Leukemia.
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.