Leoš Křen

3.3k total citations
78 papers, 1.2k citations indexed

About

Leoš Křen is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Leoš Křen has authored 78 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 20 papers in Molecular Biology and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Leoš Křen's work include Lymphoma Diagnosis and Treatment (10 papers), Cancer-related molecular mechanisms research (9 papers) and Mesenchymal stem cell research (9 papers). Leoš Křen is often cited by papers focused on Lymphoma Diagnosis and Treatment (10 papers), Cancer-related molecular mechanisms research (9 papers) and Mesenchymal stem cell research (9 papers). Leoš Křen collaborates with scholars based in Czechia, United States and Austria. Leoš Křen's co-authors include Ondřej Slabý, Radek Lakomý, Martin Smrčka, Markéta Hermanová, Pavel Fadrus, Rostislav Vyzula, Marek Svoboda, Jaroslav Michálek, Jiří Šáňa and Zdenka Křenová and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Leoš Křen

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leoš Křen Czechia 20 621 435 218 218 212 78 1.2k
Sudheer Kumar Gara United States 20 545 0.9× 260 0.6× 283 1.3× 183 0.8× 90 0.4× 35 1.2k
Barbara Toffoletto Italy 14 483 0.8× 284 0.7× 199 0.9× 131 0.6× 184 0.9× 21 890
Huiyu Yao China 13 561 0.9× 247 0.6× 138 0.6× 117 0.5× 375 1.8× 24 1.1k
Laura Morsberger United States 16 569 0.9× 433 1.0× 470 2.2× 109 0.5× 241 1.1× 43 1.3k
Andréï Tchirkov France 22 702 1.1× 412 0.9× 389 1.8× 151 0.7× 479 2.3× 88 1.7k
Heng‐Xiang Wang China 17 546 0.9× 266 0.6× 110 0.5× 161 0.7× 491 2.3× 48 1.1k
Xiaoling She China 23 695 1.1× 579 1.3× 152 0.7× 218 1.0× 63 0.3× 46 1.2k
EL Wilson United States 20 922 1.5× 542 1.2× 310 1.4× 181 0.8× 279 1.3× 36 1.8k
Ninib Baryawno United States 13 825 1.3× 302 0.7× 338 1.6× 462 2.1× 327 1.5× 21 1.6k
Mariona Suñol Spain 19 544 0.9× 176 0.4× 148 0.7× 72 0.3× 274 1.3× 64 1.2k

Countries citing papers authored by Leoš Křen

Since Specialization
Citations

This map shows the geographic impact of Leoš Křen'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 Leoš Křen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leoš Křen more than expected).

Fields of papers citing papers by Leoš Křen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leoš Křen. 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 Leoš Křen. The network helps show where Leoš Křen may publish in the future.

Co-authorship network of co-authors of Leoš Křen

This figure shows the co-authorship network connecting the top 25 collaborators of Leoš Křen. A scholar is included among the top collaborators of Leoš Křen 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 Leoš Křen. Leoš Křen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Štourač, Pavel, et al.. (2024). Case report: Diagnostic challenge: a new multiple sclerosis “relapse” leading to the diagnosis of anaplastic astrocytoma. Frontiers in Neurology. 14. 1324269–1324269.
3.
Procházka, Vladimír, Lukáš Lacina, Karel Smetana, et al.. (2023). Serum concentrations of proinflammatory biomarker interleukin-6 (IL-6) as a predictor of postoperative complications after elective colorectal surgery. World Journal of Surgical Oncology. 21(1). 384–384. 8 indexed citations
4.
Skalnı́ková, Magdalena, Kateřina Staňo Kozubík, Lenka Radová, et al.. (2022). A GP1BA Variant in a Czech Family with Monoallelic Bernard-Soulier Syndrome. International Journal of Molecular Sciences. 23(2). 885–885. 3 indexed citations
5.
Janíková, Andrea, Vít Campr, Kateřina Kamarádová, et al.. (2022). Clinical value of ALK and CD30 expression in mature systemic T cell lymphomas: analysis from the Czech Lymphoma Study Group database (NIHIL). Annals of Hematology. 101(4). 789–798. 1 indexed citations
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Štourač, Pavel, et al.. (2021). Progressive Tumefactive Demyelination as the Only Result of Extensive Diagnostic Work-Up: A Case Report. Frontiers in Neurology. 12. 701663–701663. 2 indexed citations
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Vychytilova‐Faltejskova, Petra, Igor Kišš, Jan Hlavsa, et al.. (2015). MiR-21, miR-34a, miR-198 and miR-217 as diagnostic and prognostic biomarkers for chronic pancreatitis and pancreatic ductal adenocarcinoma. Diagnostic Pathology. 10(1). 38–38. 59 indexed citations
10.
Bešše, Andrej, Jiří Šáňa, Radek Lakomý, et al.. (2015). MiR-338-5p sensitizes glioblastoma cells to radiation through regulation of genes involved in DNA damage response. Tumor Biology. 37(6). 7719–7727. 52 indexed citations
11.
Lakomý, Radek, Pavel Fadrus, Pavel Šlampa, et al.. (2011). Výsledky multimodální léčby glioblastoma multiforme:konsekutivní série 86 pacientů diagnostikovaných v letech2003–2009. Klinicka onkologie. 24(2). 1 indexed citations
12.
Lakomý, Radek, Jiří Šáňa, Simona Hankeová, et al.. (2011). MiR‐195, miR‐196b, miR‐181c, miR‐21 expression levels and O‐6‐methylguanine‐DNA methyltransferase methylation status are associated with clinical outcome in glioblastoma patients. Cancer Science. 102(12). 2186–2190. 135 indexed citations
13.
Křen, Leoš, Pavel Fabián, Ondřej Slabý, et al.. (2011). Multifunctional immune-modulatory protein HLA-E identified in classical Hodgkin lymphoma: Possible implications. Pathology - Research and Practice. 208(1). 45–49. 20 indexed citations
14.
Křenová, Zdenka, et al.. (2010). CAUDAL REGRESSION SYNDROME IN ONE OF DIZYGOTIC TWINS. Fetal and Pediatric Pathology. 29(6). 419–423. 2 indexed citations
15.
Plánka, Ladislav, Jiřı́ Klı́ma, Josef Jančář, et al.. (2009). Comparison of Preventive and Therapeutic Transplantations of Allogeneic Mesenchymal Stem Cells in Healing of the Distal Femoral Growth Plate Cartilage Defects in Miniature Pigs. Acta Veterinaria Brno. 78(2). 293–302. 9 indexed citations
16.
Janíková, Andrea, Jiřı́ Mayer, Leoš Křen, et al.. (2009). The persistence of t(14;18)-bearing cells in lymph nodes of patients with follicular lymphoma in complete remission: the evidence for ‘a lymphoma stem cell’. Leukemia & lymphoma. 50(7). 1102–1109. 6 indexed citations
17.
Plánka, Ladislav, Jiřı́ Klı́ma, Eva Filová, et al.. (2008). Allogeneic and autogenous transplantations of MSCs in treatment of the physeal bone bridge in rabbits. BMC Biotechnology. 8(1). 70–70. 42 indexed citations
18.
Nečas, Alois, et al.. (2007). Chondrocytic Potential of Allogenic Mesenchymal Stem Cells Transplanted without Immunosuppression to Regenerate Physeal Defect in Rabbits. Acta Veterinaria Brno. 76(2). 265–275. 15 indexed citations
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Schwarz, Jiřı́, Robert Pytlík, Michael Doubek, et al.. (2006). Analysis of Risk Factors: The Rationale of the Guidelines of the Czech Hematological Society for Diagnosis and Treatment of Chronic Myeloproliferative Disorders with Thrombocythemia. Seminars in Thrombosis and Hemostasis. 32(3). 231–245. 6 indexed citations

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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