Daniel B. Lipka
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 20
- Protein Degradation and Inhibitors 7
- Histone Deacetylase Inhibitors Research 6
- Single-cell and spatial transcriptomics 4
- Hematology 32
- Acute Myeloid Leukemia Research 22
- Chronic Myeloid Leukemia Treatments 15
- Co-authors
- Thomas Fischer (13 shared papers)Thomas Kindler (12 shared papers)Christoph Plass (24 shared papers)Florian H. Heidel (17 shared papers)Christoph Huber (4 shared papers)Yassen Assenov (6 shared papers)Frank Breitenbuecher (5 shared papers)Stefan Kasper (4 shared papers)
- Journals
- Blood (10 papers)Epigenetics (3 papers)Journal of Clinical Oncology (3 papers)International Journal of Cancer (3 papers)Experimental Hematology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel B. Lipka
59 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 82
- Hematology 840
- Genetics 421
- Cancer Research 266
- Molecular Biology 1.0k
- Aging 22
Countries citing papers authored by Daniel B. Lipka
This map shows the geographic impact of Daniel B. Lipka'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 B. Lipka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Lipka more than expected).
Fields of papers citing papers by Daniel B. Lipka
This network shows the impact of papers produced by Daniel B. Lipka. 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 B. Lipka. The network helps show where Daniel B. Lipka may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel B. Lipka, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 290 | |
| 2 | 2005 | 211 | |
| 3 | 2014 | 194 | |
| 4 | 2006 | 107 | |
| 5 | 2016 | 94 | |
| 6 | 2019 | 71 | |
| 7 | 2018 | 71 | |
| 8 | 2017 | 62 | |
| 9 | 2019 | 49 | |
| 10 | 2009 | 49 | |
| 11 | 2007 | 45 | |
| 12 | 2018 | 38 | |
| 13 | 2023 | 37 | |
| 14 | 2022 | 36 | |
| 15 | 2008 | 34 | |
| 16 | 2020 | 33 | |
| 17 | 2015 | 31 | |
| 18 | 2014 | 31 | |
| 19 | 2016 | 30 | |
| 20 | 2014 | 29 |
About Daniel B. Lipka
Daniel B. Lipka is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Oncology, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Epigenetics and DNA Methylation (20 papers), Chronic Myeloid Leukemia Treatments (15 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Cancer Genomics and Diagnostics (7 papers), Protein Degradation and Inhibitors (7 papers), Histone Deacetylase Inhibitors Research (6 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Hematology (840 citations), Genetics (421 citations), Cancer Research (266 citations), Molecular Biology (1.0k citations) and Aging (22 citations). Daniel B. Lipka has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Fischer, Thomas Kindler, Christoph Plass, Florian H. Heidel, Christoph Huber, Yassen Assenov, Frank Breitenbuecher, Stefan Kasper, David Brocks and Christian Flotho. Their work appears in journals such as Blood, Epigenetics, Journal of Clinical Oncology, International Journal of Cancer 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.