Markus Y. Mapara
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 49
- Hematopoietic Stem Cell Transplantation 27
- Immunology top 1%
- Immune Cell Function and Interaction 20
- T-cell and B-cell Immunology 18
- Oncology top 1%
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 28
- Cancer Research top 2%
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- Prenatal Screening and Diagnostics 18
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- Amyloidosis: Diagnosis, Treatment, Outcomes 17
- Protein Degradation and Inhibitors 17
- Co-authors
- Bernd DörkenRalf C. BargouKurt BommertMegan SykesSuzanne LentzschChristian WagenerHans‐Dieter RoyerPeter T. Daniel
- Cited by
- HematologyImmunologyOncology
- Journals
- Blood (72 papers)Biology of Blood and Marrow Transplantation (13 papers)European Journal of Immunology (7 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Markus Y. Mapara
163 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Hematology 1.5k
- Immunology 1.6k
- Oncology 1.8k
- Genetics 548
- Cancer Research 649
Countries citing papers authored by Markus Y. Mapara
This map shows the geographic impact of Markus Y. Mapara'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 Markus Y. Mapara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Y. Mapara more than expected).
Fields of papers citing papers by Markus Y. Mapara
This network shows the impact of papers produced by Markus Y. Mapara. 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 Markus Y. Mapara. The network helps show where Markus Y. Mapara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Y. Mapara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 9 | |
| 16 | 2018 | 18 | |
| 17 | 2017 | 1 | |
| 18 | 2016 | 20 | |
| 19 | 2011 | 23 | |
| 20 | Anti-CD20- and B-cell receptor-mediated apoptosis: evidence for shared intracellular signaling pathways. | 2000 | 127 |
About Markus Y. Mapara
Markus Y. Mapara is a scholar working on Hematology, Genetics, Immunology, Oncology and Molecular Biology, having authored 174 papers that have together received 5.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (49 papers), Hemoglobinopathies and Related Disorders (28 papers), Hematopoietic Stem Cell Transplantation (27 papers), Immune Cell Function and Interaction (20 papers), Prenatal Screening and Diagnostics (18 papers), T-cell and B-cell Immunology (18 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (17 papers) and Protein Degradation and Inhibitors (17 papers). The work is most often cited by research in Hematology (1.5k citations), Immunology (1.6k citations), Oncology (1.8k citations), Genetics (548 citations) and Cancer Research (649 citations). Markus Y. Mapara has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Bernd Dörken, Ralf C. Bargou, Kurt Bommert, Megan Sykes, Suzanne Lentzsch, Christian Wagener, Hans‐Dieter Royer, Peter T. Daniel, Yong‐Mi Kim and Edgar Grinstein. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, European Journal of Immunology, Journal of Clinical Investigation and Transplantation and Cellular Therapy.
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.