Marina Scheller
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 8
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Achim Leutz (9 shared papers)Frank Rosenbauer (8 shared papers)Walter Birchmeier (2 shared papers)Joerg Huelsken (2 shared papers)Daniel Geoffrey Tenen (2 shared papers)Makoto Mark Taketo (1 shared paper)Ivan David Horak (4 shared papers)Carol Stocking (3 shared papers)
- Journals
- Blood (8 papers)Cell Reports (3 papers)Nature Communications (2 papers)The Journal of Experimental Medicine (2 papers)Nature Genetics (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Marina Scheller
29 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 70
- Hematology 822
- Immunology 336
- Molecular Biology 882
- Genetics 83
- Aging 15
Countries citing papers authored by Marina Scheller
This map shows the geographic impact of Marina Scheller'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 Marina Scheller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Scheller more than expected).
Fields of papers citing papers by Marina Scheller
This network shows the impact of papers produced by Marina Scheller. 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 Marina Scheller. The network helps show where Marina Scheller may publish in the future.
Co-authors
The 25 scholars most cited alongside Marina Scheller, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 384 | |
| 2 | 2006 | 334 | |
| 3 | 2007 | 192 | |
| 4 | 2005 | 179 | |
| 5 | 2014 | 147 | |
| 6 | 2002 | 126 | |
| 7 | 2013 | 103 | |
| 8 | 1999 | 100 | |
| 9 | 2002 | 61 | |
| 10 | 2003 | 60 | |
| 11 | 2021 | 56 | |
| 12 | 2023 | 49 | |
| 13 | 2024 | 46 | |
| 14 | 2013 | 44 | |
| 15 | 2016 | 37 | |
| 16 | 2014 | 31 | |
| 17 | 2018 | 27 | |
| 18 | 2013 | 22 | |
| 19 | 2002 | 16 | |
| 20 | 1993 | 14 |
About Marina Scheller
Marina Scheller is a scholar working on Hematology, Immunology, Cell Biology, Oncology and Immunology and Allergy, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Genomics and Chromatin Dynamics (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Protein Degradation and Inhibitors (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Hematology (822 citations), Immunology (336 citations), Molecular Biology (882 citations), Genetics (83 citations) and Aging (15 citations). Marina Scheller has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Achim Leutz, Frank Rosenbauer, Walter Birchmeier, Joerg Huelsken, Daniel Geoffrey Tenen, Makoto Mark Taketo, Ivan David Horak, Carol Stocking, Miguel Angel Andrade-Navarro and Jürgen Löhler. Their work appears in journals such as Blood, Cell Reports, Nature Communications, The Journal of Experimental Medicine and Nature Genetics.
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.