Daniel Freund
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Drug Transport and Resistance Mechanisms
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Oncology 8
- Cancer Cells and Metastasis 6
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- Hematopoietic Stem Cell Transplantation 6
- Co-authors
- Denis Corbeil (10 shared papers)Gerhard Ehninger (4 shared papers)Martin Bornhäuser (8 shared papers)Wieland Β. Huttner (3 shared papers)Mareike Florek (2 shared papers)Ana‐Violeta Fonseca (5 shared papers)Michael Haase (1 shared paper)Anne‐Marie Marzesco (1 shared paper)
- Journals
- American Journal of Respiratory and Critical Care Medicine (2 papers)Cytotherapy (2 papers)Cell and Tissue Research (1 paper)Stem Cells Translational Medicine (1 paper)Stem Cells and Development (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Daniel Freund
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Oncology 607
- Hematology 193
- Genetics 152
- Immunology and Allergy 71
- Cancer Research 158
Countries citing papers authored by Daniel Freund
This map shows the geographic impact of Daniel Freund'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 Daniel Freund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Freund more than expected).
Fields of papers citing papers by Daniel Freund
This network shows the impact of papers produced by Daniel Freund. 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 Daniel Freund. The network helps show where Daniel Freund may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Freund, 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 | 2004 | 227 | |
| 2 | MDR1 gene polymorphisms affect therapy outcome in acute myeloid leukemia patients. | 2002 | 213 |
| 3 | 2004 | 140 | |
| 4 | 2008 | 116 | |
| 5 | 2007 | 109 | |
| 6 | 2011 | 87 | |
| 7 | 2006 | 59 | |
| 8 | 2010 | 48 | |
| 9 | 2019 | 41 | |
| 10 | 2016 | 38 | |
| 11 | 2006 | 33 | |
| 12 | 2018 | 29 | |
| 13 | 2010 | 24 | |
| 14 | 2024 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2001 | 4 | |
| 17 | 2018 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Daniel Freund
Daniel Freund is a scholar working on Oncology, Hematology, Surgery, Molecular Biology and Genetics, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Mesenchymal stem cell research (4 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Neonatal Respiratory Health Research (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Caveolin-1 and cellular processes (2 papers). The work is most often cited by research in Oncology (607 citations), Hematology (193 citations), Genetics (152 citations), Immunology and Allergy (71 citations) and Cancer Research (158 citations). Daniel Freund has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Denis Corbeil, Gerhard Ehninger, Martin Bornhäuser, Wieland Β. Huttner, Mareike Florek, Ana‐Violeta Fonseca, Michael Haase, Anne‐Marie Marzesco, Jana Karbanová and Ulrich S. Schuler. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Cytotherapy, Cell and Tissue Research, Stem Cells Translational Medicine and Stem Cells and Development.
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.