Jan Štraub
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Platelet Disorders and Treatments
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- Peptidase Inhibition and Analysis
Papers in
- Hematology 31
- Multiple Myeloma Research and Treatments 30
- Oncology 22
- Peptidase Inhibition and Analysis 11
- Cancer Treatment and Pharmacology 9
- Co-authors
- Ivan Špıčka (18 shared papers)Steven K. Sussman (1 shared paper)Hugh S. Vine (1 shared paper)Fernando F. Illescas (1 shared paper)Michael J. Hallisey (1 shared paper)S. G. M. Meuwissen (1 shared paper)H.P.M. Festen (1 shared paper)J. Défize (1 shared paper)
- Journals
- Blood (8 papers)Annals of Hematology (3 papers)Biomedicines (2 papers)British Journal of Haematology (2 papers)HemaSphere (2 papers)
- Partner nations
- CzechiaUnited StatesSpain
In The Last Decade
Jan Štraub
38 papers receiving 339 citations
Peers
Comparison fields: 5 of 44
- Hematology 167
- Oncology 85
- Genetics 26
- Pulmonary and Respiratory Medicine 76
- Nephrology 15
Countries citing papers authored by Jan Štraub
This map shows the geographic impact of Jan Štraub'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 Jan Štraub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Štraub more than expected).
Fields of papers citing papers by Jan Štraub
This network shows the impact of papers produced by Jan Štraub. 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 Jan Štraub. The network helps show where Jan Štraub may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Štraub, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 71 | |
| 2 | 1986 | 43 | |
| 3 | 2012 | 37 | |
| 4 | 2017 | 30 | |
| 5 | 2010 | 23 | |
| 6 | 2015 | 22 | |
| 7 | 2020 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2012 | 11 | |
| 10 | 2015 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2022 | 5 | |
| 16 | [Recombinant human erythropoietin in the treatment of anemia associated with lymphoproliferative diseases--chronic lymphadenosis and multiple myeloma]. | 1996 | 5 |
| 17 | 2022 | 4 | |
| 18 | 2018 | 4 | |
| 19 | [Bortezomib (Velcade) in relapsed/refractory multiple myeloma--the first experience in the Czech Republic]. | 2005 | 4 |
| 20 | [Mixed myelodysplastic and myeloproliferative syndromes]. | 1997 | 4 |
About Jan Štraub
Jan Štraub is a scholar working on Hematology, Oncology, Molecular Biology, Surgery and Pathology and Forensic Medicine, having authored 43 papers that have together received 360 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (30 papers), Protein Degradation and Inhibitors (15 papers), Peptidase Inhibition and Analysis (11 papers), Cancer Treatment and Pharmacology (9 papers), Phytochemical compounds biological activities (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Cancer Mechanisms and Therapy (2 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers). The work is most often cited by research in Hematology (167 citations), Oncology (85 citations), Genetics (26 citations), Pulmonary and Respiratory Medicine (76 citations) and Nephrology (15 citations). Jan Štraub has collaborated with scholars based in Czechia, United States and Spain. Frequent co-authors include Ivan Špıčka, Steven K. Sussman, Hugh S. Vine, Fernando F. Illescas, Michael J. Hallisey, S. G. M. Meuwissen, H.P.M. Festen, J. Défize, Rune R. Frants and Roman Hájek. Their work appears in journals such as Blood, Annals of Hematology, Biomedicines, British Journal of Haematology and HemaSphere.
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.