Martin Klabusay

991 total citations
50 papers, 708 citations indexed

About

Martin Klabusay is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Martin Klabusay has authored 50 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 14 papers in Molecular Biology and 11 papers in Hematology. Recurrent topics in Martin Klabusay's work include Mesenchymal stem cell research (9 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Lymphoma Diagnosis and Treatment (8 papers). Martin Klabusay is often cited by papers focused on Mesenchymal stem cell research (9 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Lymphoma Diagnosis and Treatment (8 papers). Martin Klabusay collaborates with scholars based in Czechia, United States and United Kingdom. Martin Klabusay's co-authors include Jiřı́ Mayer, Zdeněk Kořı́stek, Ota Hlinomaz, Ladislav Groch, Ladislav Dušek, Yvona Brychtová, Milan Navrátil, Jaroslav Meluzı́n, Gurpreet S. Sandhu and Dan Dragomir‐Daescu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and American Heart Journal.

In The Last Decade

Martin Klabusay

49 papers receiving 696 citations

Peers

Martin Klabusay
Comparison fields: 5 of 90
  • Genetics 339
  • Molecular Biology 219
  • Surgery 219
  • Pathology and Forensic Medicine 116
  • Immunology 109
Replace Jaco H. Houtgraaf with:
Jaco H. Houtgraaf Netherlands
Cristina Moreno Spain
Nira Varda‐Bloom Israel
Amanda Finan United States
Gillian I. Bell Canada
Wolfgang-M. Franz Germany
Shuaihua Qiao China
Yanwen Bi China
Sajeel Chowdhary United States
Klaas Koop Netherlands
Jaco H. Houtgraaf Netherlands View profile →
Citations per field, relative to Martin Klabusay
Martin Klabusay · 1×
Citations per year, relative to Martin Klabusay
Martin Klabusay · 1×

Countries citing papers authored by Martin Klabusay

Since Specialization
Citations

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

Fields of papers citing papers by Martin Klabusay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Klabusay

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Klabusay. A scholar is included among the top collaborators of Martin Klabusay 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 Martin Klabusay. Martin Klabusay 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
# Work Indexed citations
1 12
2 8
3 4
4 28
5 16
6 18
7 10
8 1
9 37
10 1
11 3
12 24
13 10
14 15
15 3
16 78
17 29
18
[Analysis of phenotypes and kinetics of CD34+ cells and lymphocytes in donors of hematopoietic stem cells for allogenic transplantation].
1
19 1
20
Ifosfamide- and etoposide-based chemotherapy as salvage and mobilizing regimens for poor prognosis lymphoma.
6

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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