Márk Plander
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
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- Multiple Myeloma Research and Treatments
Papers in ⓘ
- Genetics 13
- Chronic Lymphocytic Leukemia Research 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
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- Multiple Myeloma Research and Treatments 3
- Co-authors
- Gero Brockhoff (4 shared papers)J Ivánýi (8 shared papers)Ferdinand Hofstaedter (1 shared paper)Gerd Schmitz (2 shared papers)Péter Ugocsai (2 shared papers)Ferdinand Hofstädter (2 shared papers)Simone Diermeier‐Daucher (1 shared paper)E. Orsó (1 shared paper)
In The Last Decade
Márk Plander
20 papers receiving 239 citations
Peers
Comparison fields: 5 of 44
- Genetics 101
- Hematology 56
- Immunology 66
- Pathology and Forensic Medicine 55
- Oncology 82
Countries citing papers authored by Márk Plander
This map shows the geographic impact of Márk Plander'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 Márk Plander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márk Plander more than expected).
Fields of papers citing papers by Márk Plander
This network shows the impact of papers produced by Márk Plander. 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 Márk Plander. The network helps show where Márk Plander may publish in the future.
Co-authors
The 25 scholars most cited alongside Márk Plander, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 71 | |
| 2 | 2009 | 55 | |
| 3 | 2011 | 22 | |
| 4 | 2019 | 17 | |
| 5 | 2015 | 17 | |
| 6 | 2003 | 15 | |
| 7 | 2018 | 9 | |
| 8 | 2011 | 7 | |
| 9 | 2016 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 4 | |
| 12 | A TP53-mutáció-analízis jelentősége krónikus lymphocytás leukaemiában | TP53mutation analysis in chronic lymphocytic leukaemia | 2017 | 4 |
| 13 | 2022 | 2 | |
| 14 | 2008 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2013 | 1 |
About Márk Plander
Márk Plander is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Immunology and Internal Medicine, having authored 23 papers that have together received 241 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Protein Degradation and Inhibitors (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Multiple Myeloma Research and Treatments (3 papers), Kruppel-like factors research (2 papers) and Phagocytosis and Immune Regulation (2 papers). The work is most often cited by research in Genetics (101 citations), Hematology (56 citations), Immunology (66 citations), Pathology and Forensic Medicine (55 citations) and Oncology (82 citations). Márk Plander has collaborated with scholars based in Hungary and Germany. Frequent co-authors include Gero Brockhoff, J Ivánýi, Ferdinand Hofstaedter, Gerd Schmitz, Péter Ugocsai, Ferdinand Hofstädter, Simone Diermeier‐Daucher, E. Orsó, Ruth Knüchel and Stephan Schwarz. Their work appears in journals such as Pathology & Oncology Research, Annals of Hematology, Biochemia Medica, Cell Proliferation and Leukemia.
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.