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
- Hematology 33
- Acute Myeloid Leukemia Research 23
- Chronic Myeloid Leukemia Treatments 16
- Genetics 14
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
- Co-authors
- Thomas FischerThomas KindlerChristoph PlassFlorian H. HeidelChristoph HuberFrank BreitenbuecherYassen AssenovStefan Kasper
- Journals
- Blood (10 papers)International Journal of Cancer (3 papers)Journal of Clinical Oncology (3 papers)Epigenetics (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel B. Lipka
58 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 81
- Hematology 878
- Genetics 458
- Cancer Research 304
- Molecular Biology 1.1k
- 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 37 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 30 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 21 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 69 | |
| 14 | 2017 | 16 | |
| 15 | 2017 | 60 | |
| 16 | 2016 | 30 | |
| 17 | 2015 | 31 | |
| 18 | 2015 | 3 | |
| 19 | 2014 | 31 | |
| 20 | 2014 | 22 |
About Daniel B. Lipka
Daniel B. Lipka is a scholar working on Hematology, Genetics, Molecular Biology, Cancer Research and Immunology, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (23 papers), Epigenetics and DNA Methylation (21 papers), Chronic Myeloid Leukemia Treatments (16 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Cancer Genomics and Diagnostics (8 papers), Protein Degradation and Inhibitors (8 papers), Histone Deacetylase Inhibitors Research (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Hematology (878 citations), Genetics (458 citations), Cancer Research (304 citations), Molecular Biology (1.1k 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, Frank Breitenbuecher, Yassen Assenov, Stefan Kasper, David Brocks and Clarissa Gerhäuser. Their work appears in journals such as Blood, International Journal of Cancer, Journal of Clinical Oncology, Epigenetics and British Journal of Haematology.
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.