Philipp A. Greif
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 39
- Acute Myeloid Leukemia Research 37
- Chronic Myeloid Leukemia Treatments 7
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- Epigenetics and DNA Methylation 11
- Protein Degradation and Inhibitors 9
- Genomics and Chromatin Dynamics 5
- Co-authors
- Sebastian Vosberg (18 shared papers)Stefan K. Bohlander (21 shared papers)Karsten Spiekermann (18 shared papers)Klaus H. Metzeler (14 shared papers)Helmut Blum (15 shared papers)Cornelia Schlee (5 shared papers)Claudia D. Baldus (7 shared papers)Tobias Herold (11 shared papers)
- Journals
- Blood (17 papers)Leukemia (6 papers)Oncogene (3 papers)Haematologica (2 papers)Experimental Hematology (2 papers)
- Partner nations
- GermanyUnited StatesNew Zealand
In The Last Decade
Philipp A. Greif
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 76
- Hematology 696
- Genetics 216
- Cancer Research 215
- Oncology 387
- Molecular Biology 718
Countries citing papers authored by Philipp A. Greif
This map shows the geographic impact of Philipp A. Greif'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 Philipp A. Greif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp A. Greif more than expected).
Fields of papers citing papers by Philipp A. Greif
This network shows the impact of papers produced by Philipp A. Greif. 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 Philipp A. Greif. The network helps show where Philipp A. Greif may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp A. Greif, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 240 | |
| 2 | 2013 | 143 | |
| 3 | 2009 | 89 | |
| 4 | 2014 | 88 | |
| 5 | 2016 | 81 | |
| 6 | 2016 | 80 | |
| 7 | 2012 | 66 | |
| 8 | 2019 | 66 | |
| 9 | 2017 | 65 | |
| 10 | 2007 | 54 | |
| 11 | 2011 | 44 | |
| 12 | 2008 | 35 | |
| 13 | 2008 | 32 | |
| 14 | 2021 | 27 | |
| 15 | 2007 | 26 | |
| 16 | 2021 | 24 | |
| 17 | 2011 | 24 | |
| 18 | 2013 | 21 | |
| 19 | 2021 | 20 | |
| 20 | 2020 | 18 |
About Philipp A. Greif
Philipp A. Greif is a scholar working on Hematology, Molecular Biology, Cancer Research, Oncology and Public Health, Environmental and Occupational Health, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (37 papers), Cancer Genomics and Diagnostics (16 papers), Epigenetics and DNA Methylation (11 papers), Protein Degradation and Inhibitors (9 papers), Acute Lymphoblastic Leukemia research (9 papers), Chronic Myeloid Leukemia Treatments (7 papers), Genomics and Chromatin Dynamics (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (696 citations), Genetics (216 citations), Cancer Research (215 citations), Oncology (387 citations) and Molecular Biology (718 citations). Philipp A. Greif has collaborated with scholars based in Germany, United States and New Zealand. Frequent co-authors include Sebastian Vosberg, Stefan K. Bohlander, Karsten Spiekermann, Klaus H. Metzeler, Helmut Blum, Cornelia Schlee, Claudia D. Baldus, Tobias Herold, Paul Kerbs and Martín Neumann. Their work appears in journals such as Blood, Leukemia, Oncogene, Haematologica and Experimental 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.