Jiří Mayer
- Hematology top 1%
- Genetics top 1%
- Rheumatology top 5%
- Molecular Biology
- Oncology
- Co-authors
- Andreas HochhausMichele BaccaraniJuan Luis SteegmannJörge E. CortesDong‐Wook KimM. Brigid Bradley‐GarelikMark WildgustGiuseppe Saglio
- Topics
- Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers)Chronic Myeloid Leukemia Treatments (13 papers)Chronic Lymphocytic Leukemia Research (10 papers)
- Cited by
- HematologyGeneticsRheumatology
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- CzechiaUnited StatesGermany
In The Last Decade
Jiří Mayer
41 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Hematology 748
- Genetics 679
- Rheumatology 320
- Molecular Biology 162
- Oncology 161
Countries citing papers authored by Jiří Mayer
This map shows the geographic impact of Jiří Mayer'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 Jiří Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiří Mayer more than expected).
Fields of papers citing papers by Jiří Mayer
This network shows the impact of papers produced by Jiří Mayer. 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 Jiří Mayer. The network helps show where Jiří Mayer may publish in the future.
Co-authorship network of co-authors of Jiří Mayer
This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Mayer. A scholar is included among the top collaborators of Jiří Mayer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiří Mayer. Jiří Mayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 84 | |
| 13 | European LeukemiaNet recommendations for the management and avoidance of adverse events of treatment in chronic myeloid leukaemiabreakdown → | 330 |
| 14 | 82 | |
| 15 | 30 | |
| 16 | 21 | |
| 17 | 5 | |
| 18 | [Successful treatment of Erdheim-Chester disease by 2-chlorodeoxyadenosine-based chemotherapy. Two case studies and a literature review]. | 11 |
| 19 | 15 | |
| 20 | 23 |
About Jiří Mayer
Jiří Mayer is a scholar working on Genetics, Hematology and Health Informatics, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers), Chronic Myeloid Leukemia Treatments (13 papers) and Chronic Lymphocytic Leukemia Research (10 papers). The work is most often cited by research in Hematology (748 citations), Genetics (679 citations) and Rheumatology (320 citations). Jiří Mayer has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Andreas Hochhaus, Michele Baccarani, Juan Luis Steegmann, Jörge E. Cortes, Dong‐Wook Kim, M. Brigid Bradley‐Garelik, Mark Wildgust, Giuseppe Saglio, Concepción Boqué and Carolina Pavlovsky. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.