Robert Pytlík
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
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- Lymphoma Diagnosis and Treatment
- Multiple Sclerosis Research Studies
Papers in
-
- Lymphoma Diagnosis and Treatment 41
- Multiple Sclerosis Research Studies 3
- Genetics 15
- Mesenchymal stem cell research 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Co-authors
- Tomáš Kozák (19 shared papers)Marek Trněný (49 shared papers)Tomáš Soukup (5 shared papers)Jana Karbanová (3 shared papers)Pavel Klener (24 shared papers)Jakub Suchánek (2 shared papers)Evžen Gregora (6 shared papers)David Belada (30 shared papers)
- Journals
- Blood (18 papers)Hematological Oncology (4 papers)Bone Marrow Transplantation (4 papers)European Journal Of Haematology (3 papers)Annals of Hematology (3 papers)
- Partner nations
- CzechiaGermanyUnited States
In The Last Decade
Robert Pytlík
95 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 64
- Genetics 342
- Pathology and Forensic Medicine 410
- Biomaterials 96
- Hematology 101
- Immunology 73
Countries citing papers authored by Robert Pytlík
This map shows the geographic impact of Robert Pytlík'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 Robert Pytlík with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Pytlík more than expected).
Fields of papers citing papers by Robert Pytlík
This network shows the impact of papers produced by Robert Pytlík. 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 Robert Pytlík. The network helps show where Robert Pytlík may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Pytlík, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 127 | |
| 2 | 2010 | 97 | |
| 3 | 2000 | 93 | |
| 4 | 2015 | 85 | |
| 5 | 2007 | 83 | |
| 6 | 2003 | 81 | |
| 7 | 2002 | 80 | |
| 8 | 2007 | 76 | |
| 9 | 2004 | 62 | |
| 10 | 2011 | 55 | |
| 11 | 2009 | 54 | |
| 12 | 2007 | 50 | |
| 13 | 2020 | 48 | |
| 14 | 2018 | 46 | |
| 15 | 2003 | 43 | |
| 16 | 2018 | 39 | |
| 17 | 2009 | 37 | |
| 18 | 2012 | 37 | |
| 19 | 2009 | 36 | |
| 20 | 2014 | 36 |
About Robert Pytlík
Robert Pytlík is a scholar working on Pathology and Forensic Medicine, Genetics, Hematology, Neurology and Immunology, having authored 97 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (41 papers), Mesenchymal stem cell research (9 papers), Hematopoietic Stem Cell Transplantation (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Angiogenesis and VEGF in Cancer (3 papers), CAR-T cell therapy research (3 papers) and Multiple Sclerosis Research Studies (3 papers). The work is most often cited by research in Genetics (342 citations), Pathology and Forensic Medicine (410 citations), Biomaterials (96 citations), Hematology (101 citations) and Immunology (73 citations). Robert Pytlík has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include Tomáš Kozák, Marek Trněný, Tomáš Soukup, Jana Karbanová, Pavel Klener, Jakub Suchánek, Evžen Gregora, David Belada, Marie Hubálek Kalbáčová and Heidi Móciková. Their work appears in journals such as Blood, Hematological Oncology, Bone Marrow Transplantation, European Journal Of Haematology and Annals of Hematology.
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.