Michaela Kotrová
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
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- Acute Lymphoblastic Leukemia research
Papers in
-
- Lymphoma Diagnosis and Treatment 15
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- Acute Lymphoblastic Leukemia research 15
- Co-authors
- Monika Brüggemann (25 shared papers)Jan Trka (9 shared papers)Nikos Darzentas (15 shared papers)Tobias Hutzenlaub (3 shared papers)Eva Froňková (8 shared papers)Nils Paust (2 shared papers)Jan Starý (5 shared papers)Roland Zengerle (2 shared papers)
- Journals
- Blood (5 papers)HemaSphere (4 papers)Leukemia (4 papers)Blood Advances (2 papers)Hematology (1 paper)
- Partner nations
- GermanyCzechiaNetherlands
In The Last Decade
Michaela Kotrová
31 papers receiving 710 citations
Peers
Comparison fields: 5 of 68
- Hematology 267
- Public Health, Environmental and Occupational Health 330
- Genetics 103
- Pathology and Forensic Medicine 138
- Cancer Research 101
Countries citing papers authored by Michaela Kotrová
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
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-authors
The 25 scholars most cited alongside Michaela Kotrová, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2017 | 86 | |
| 3 | 2019 | 82 | |
| 4 | 2017 | 67 | |
| 5 | 2017 | 62 | |
| 6 | 2017 | 53 | |
| 7 | 2017 | 38 | |
| 8 | 2015 | 33 | |
| 9 | 2022 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2022 | 24 | |
| 12 | 2024 | 17 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 10 | |
| 16 | 2018 | 8 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2024 | 5 |
About Michaela Kotrová
Michaela Kotrová is a scholar working on Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Genetics, Molecular Biology and Hematology, having authored 32 papers that have together received 719 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (15 papers), Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (8 papers), Cancer Genomics and Diagnostics (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Acute Myeloid Leukemia Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (267 citations), Public Health, Environmental and Occupational Health (330 citations), Genetics (103 citations), Pathology and Forensic Medicine (138 citations) and Cancer Research (101 citations). Michaela Kotrová has collaborated with scholars based in Germany, Czechia and Netherlands. Frequent co-authors include Monika Brüggemann, Jan Trka, Nikos Darzentas, Tobias Hutzenlaub, Eva Froňková, Nils Paust, Jan Starý, Roland Zengerle, Jan Zuna and Tobias Paprotka. Their work appears in journals such as Blood, HemaSphere, Leukemia, Blood Advances and 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.