Michaela Kotrová

2.2k total citations
31 papers, 666 citations indexed

About

Michaela Kotrová is a scholar working on Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Michaela Kotrová has authored 31 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 14 papers in Public Health, Environmental and Occupational Health and 9 papers in Genetics. Recurrent topics in Michaela Kotrová's work include Acute Lymphoblastic Leukemia research (14 papers), Lymphoma Diagnosis and Treatment (14 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Michaela Kotrová is often cited by papers focused on Acute Lymphoblastic Leukemia research (14 papers), Lymphoma Diagnosis and Treatment (14 papers) and Chronic Lymphocytic Leukemia Research (9 papers). Michaela Kotrová collaborates with scholars based in Germany, Czechia and Netherlands. Michaela Kotrová's co-authors include Monika Brüggemann, Jan Trka, Tobias Hutzenlaub, Jan Starý, Jan Zuna, Nikos Darzentas, Roland Zengerle, Eva Froňková, Nils Paust and Tobias Paprotka and has published in prestigious journals such as Blood, PLoS ONE and Analytical Chemistry.

In The Last Decade

Michaela Kotrová

30 papers receiving 656 citations

Peers

Michaela Kotrová
Jess F. Peterson United States
Aining Sun China
Carolina Martínez‐Laperche Spain
Mustafa Kondakci Germany
Yunfeng Li China
Mary Sartor Australia
Richard Dillon United Kingdom
MJ Willemse Netherlands
Norimichi Hattori Japan
Wandi Zhang United States
Jess F. Peterson United States
Michaela Kotrová
Citations per year, relative to Michaela Kotrová Michaela Kotrová (= 1×) peers Jess F. Peterson

Countries citing papers authored by Michaela Kotrová

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Kotrová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Kotrová

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Kotrová. A scholar is included among the top collaborators of Michaela Kotrová 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 Michaela Kotrová. Michaela Kotrová 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
1.
Seifert, Nicole, Sarah Reinke, Julia Richter, et al.. (2024). T-cell diversity and exclusion of blood-derived T-cells in the tumor microenvironment of classical Hodgkin Lymphoma. Leukemia. 39(3). 684–693. 1 indexed citations
2.
Wehkamp, Ulrike, Michaela Kotrová, Marion Jost, et al.. (2024). Mycosis fungoides: differentiation from inflammation and detection of circulating tumour cells with the EuroClonality next-generation sequencing assay. British Journal of Dermatology. 192(3). 492–500. 1 indexed citations
3.
Kotrová, Michaela, Eva Froňková, Michael Svatoň, et al.. (2024). The gray area of RQ-PCR-based measurable residual disease: subdividing the “positive, below quantitative range” category. Leukemia. 38(7). 1617–1620. 3 indexed citations
4.
Szczepanowski, Monika, Michaela Kotrová, Nicola Gökbuget, et al.. (2023). Insights into IGH clonal evolution in BCP-ALL: frequency, mechanisms, associations, and diagnostic implications. Frontiers in Immunology. 14. 1125017–1125017. 3 indexed citations
5.
Kotrová, Michaela, Claudia D. Baldus, Marcus Lettau, et al.. (2023). Dominant T-cell Receptor Delta Rearrangements in B-cell Precursor Acute Lymphoblastic Leukemia: Leukemic Markers or Physiological γδ T Repertoire?. HemaSphere. 7(9). e948–e948. 2 indexed citations
6.
Pott, Christiane, et al.. (2022). cfDNA-Based NGS IG Analysis in Lymphoma. Methods in molecular biology. 2453. 101–117. 4 indexed citations
7.
Svatoň, Michael, Michaela Kotrová, Vincent H. J. van der Velden, et al.. (2022). NGS better discriminates true MRD positivity for the risk stratification of childhood ALL treated on an MRD-based protocol. Blood. 141(5). 529–533. 20 indexed citations
8.
Kotrová, Michaela, Heiko Trautmann, Nael Alakel, et al.. (2022). Prognostic value of low-level MRD in adult acute lymphoblastic leukemia detected by low- and high-throughput methods. Blood Advances. 6(10). 3006–3010. 22 indexed citations
9.
10.
Kotrová, Michaela, et al.. (2021). UMIc: A Preprocessing Method for UMI Deduplication and Reads Correction. Frontiers in Genetics. 12. 660366–660366. 12 indexed citations
11.
Svatoň, Michael, Michaela Kotrová, Vincent H. J. van der Velden, et al.. (2021). NGS-Based MRD Quantitation: An Alternative to qPCR Validated on a Large Consecutive Cohort of Children with ALL. Blood. 138(Supplement 1). 1314–1314. 2 indexed citations
12.
Kohl, Thomas A., Michaela Kotrová, Kerstin Rönsch, et al.. (2020). Library preparation for next generation sequencing: A review of automation strategies. Biotechnology Advances. 41. 107537–107537. 113 indexed citations
13.
Scheijen, Blanca, Ruud W. J. Meijers, Jos Rijntjes, et al.. (2019). Next-generation sequencing of immunoglobulin gene rearrangements for clonality assessment: a technical feasibility study by EuroClonality-NGS. Leukemia. 33(9). 2227–2240. 79 indexed citations
14.
Kotrová, Michaela, Karol Pál, Nikos Darzentas, et al.. (2019). PS942 CD19 MUTATION FREQUENCY AFTER BLINATUMOMAB TREATMENT IS LOWER THAN AFTER CAR T‐CELLS TREATMENT. HemaSphere. 3(S1). 424–425. 1 indexed citations
15.
Chitadze, Guranda, Anna Stengel, Heiko Trautmann, et al.. (2019). S129 TP53 SOMATIC MUTATIONS AS PRE‐LEUKEMIC EVENTS IN ACUTE LYMPHOBLASTIC LEUKEMIA. HemaSphere. 3(S1). 16–17. 1 indexed citations
16.
Kotrová, Michaela, Vincent H. J. van der Velden, Jacques J. M. van Dongen, et al.. (2017). Next-generation sequencing indicates false-positive MRD results and better predicts prognosis after SCT in patients with childhood ALL. Bone Marrow Transplantation. 52(7). 962–968. 58 indexed citations
17.
Kotrová, Michaela, Jan Trka, Michael Kneba, & Monika Brüggemann. (2017). Is Next-Generation Sequencing the way to go for Residual Disease Monitoring in Acute Lymphoblastic Leukemia?. Molecular Diagnosis & Therapy. 21(5). 481–492. 37 indexed citations
18.
Brüggemann, Monika & Michaela Kotrová. (2017). Minimal residual disease in adult ALL: technical aspects and implications for correct clinical interpretation. Hematology. 2017(1). 13–21. 84 indexed citations
19.
20.
Froňková, Eva, Adam Klocperk, Michael Svatoň, et al.. (2014). The TREC/KREC Assay for the Diagnosis and Monitoring of Patients with DiGeorge Syndrome. PLoS ONE. 9(12). e114514–e114514. 24 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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