Robert Pytlík

2.3k citations
91 papers · 1.5k · h-index 23

Impact in

Papers in

Robert Pytlík

85 papers receiving 1.5k citations

Peers

Robert Pytlík
Comparison fields: 5 of 93
  • Genetics 408
  • Pathology and Forensic Medicine 420
  • Hematology 179
  • Oncology 380
  • Immunology 247
Replace Sandrine Bouchet with:
Sandrine Bouchet France
Cédric Menard France
Zhigui Ma China
Kung‐Chao Chang Taiwan
Zhuma Hu United States
Craig Donaldson United Kingdom
Paul Lin United States
Brenda Cooper United States
Satoru Otsuru United States
Patrick Wuchter Germany
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Citations per field
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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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009106
2 201086
3 200083
4 200381
5 200778
6 200275
7 201574
8 200455
9 200951
10 200747
11 202044
12 201141
13 200340
14 200936
15 201236
16 201834
17 201432
18 200930
19 201625
20
Autologous intra-arterial infusion of bone marrow mononuclear cells in patients with critical leg ischemia.
200824

About Robert Pytlík

Robert Pytlík is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (38 papers), Chronic Lymphocytic Leukemia Research (19 papers), Viral-associated cancers and disorders (12 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Mesenchymal stem cell research (9 papers), Immune Cell Function and Interaction (7 papers), CAR-T cell therapy research (6 papers) and Hematopoietic Stem Cell Transplantation (5 papers). The work is most often cited by research in Genetics (408 citations), Pathology and Forensic Medicine (420 citations), Hematology (179 citations), Oncology (380 citations) and Immunology (247 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, Jakub Suchánek, Pavel Klener, J Živný, Marie Hubálek Kalbáčová, David Belada and Jaroslav Mokrý. Their work appears in journals such as Blood, Hematological Oncology, Bone Marrow Transplantation, Annals of Hematology and European Journal Of Haematology.

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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