Roman Hájek
- Hematology top 0.05%
- Multiple Myeloma Research and Treatments 362
- Oncology top 0.2%
- Cancer Treatment and Pharmacology 95
- Peptidase Inhibition and Analysis 78
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 52
- Myeloproliferative Neoplasms: Diagnosis and Treatment 27
- Molecular Biology top 0.5%
- Protein Degradation and Inhibitors 119
- Amyloidosis: Diagnosis, Treatment, Outcomes 45
- Cancer Research top 2%
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- Immunotherapy and Immune Responses 31
- Co-authors
- Meletios Α. DimopoulosSabina Ševčı́kováTomáš Jelı́nekJesús F. San MiguelLenka SedlaříkováLenka KubiczkováPieter SonneveldPhilippe Moreau
- Cited by
- HematologyOncologyGenetics
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (35 papers)SHILAP Revista de lepidopterología (5 papers)
- Partner nations
- CzechiaUnited StatesSpain
In The Last Decade
Roman Hájek
513 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Hematology 6.9k
- Oncology 5.1k
- Genetics 1.1k
- Molecular Biology 6.5k
- Cancer Research 704
Countries citing papers authored by Roman Hájek
This map shows the geographic impact of Roman Hájek'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 Roman Hájek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Hájek more than expected).
Fields of papers citing papers by Roman Hájek
This network shows the impact of papers produced by Roman Hájek. 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 Roman Hájek. The network helps show where Roman Hájek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roman Hájek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 92 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 53 | |
| 14 | 2018 | 3 | |
| 15 | 2015 | 17 | |
| 16 | Threats to Mutual Trust: Czech Local Politicians and Local Journalists in the Era of Professional Political Communication | 2015 | 2 |
| 17 | 2013 | 10 | |
| 18 | 2012 | 58 | |
| 19 | 2008 | 148 | |
| 20 | 2007 | 309 |
About Roman Hájek
Roman Hájek is a scholar working on Hematology, Oncology and Genetics, having authored 567 papers that have together received 10.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (362 papers), Protein Degradation and Inhibitors (119 papers), Cancer Treatment and Pharmacology (95 papers), Peptidase Inhibition and Analysis (78 papers), Chronic Lymphocytic Leukemia Research (52 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (45 papers), Immunotherapy and Immune Responses (31 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (27 papers). The work is most often cited by research in Hematology (6.9k citations), Oncology (5.1k citations) and Genetics (1.1k citations). Roman Hájek has collaborated with scholars based in Czechia, United States and Spain. Frequent co-authors include Meletios Α. Dimopoulos, Sabina Ševčı́ková, Tomáš Jelı́nek, Jesús F. San Miguel, Lenka Sedlaříková, Lenka Kubiczková, Pieter Sonneveld, Philippe Moreau, Heinz Ludwig and Hartmut Goldschmidt. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.