Robert Pytlík

2.3k citations
97 papers · 1.9k · h-index 26

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Lymphoma Diagnosis and Treatment
    • Multiple Sclerosis Research Studies

Papers in

    • Lymphoma Diagnosis and Treatment 45
    • Mesenchymal stem cell research 11
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
    • Chronic Lymphocytic Leukemia Research 3

Robert Pytlík

95 papers receiving 1.8k citations

Peers

Robert Pytlík
Comparison fields: 5 of 80
  • Genetics 435
  • Pathology and Forensic Medicine 471
  • Hematology 152
  • Biomaterials 111
  • Drug Discovery 2
Replace Borko Jovanovic with:
Borko Jovanovic United States
Nathalie Gallay France
Sandrine Bouchet France
Liming Du China
Bernardo Garicochea Brazil
Yan Gao China
Lucia Salvatorelli Italy
Olivia Fromigué France
Ariane Galaup France
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Citations per field
00.5×2×3×4×4.9×
Borko Jovanovic · 1×
Citations per year

Countries citing papers authored by Robert Pytlík

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Robert Pytlík Line = papers co-authored together Robert Pytlík links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009127
2 201097
3 200093
4 201585
5 200783
6 200381
7 200280
8 200776
9 200462
10 201155
11 200954
12 200750
13 202048
14 201846
15 200343
16 201839
17 200937
18 201237
19 200936
20 201436

About Robert Pytlík

Robert Pytlík is a scholar working on Pathology and Forensic Medicine, Genetics, Hematology, Neurology and Molecular Biology, having authored 97 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (45 papers), Mesenchymal stem cell research (11 papers), Hematopoietic Stem Cell Transplantation (7 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), CAR-T cell therapy research (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Genetics (435 citations), Pathology and Forensic Medicine (471 citations), Hematology (152 citations), Biomaterials (111 citations) and Drug Discovery (2 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 Petr Kobylka. 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.

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