Fabian Beier
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
- Physiology 45
- Telomeres, Telomerase, and Senescence 43
-
- Epigenetics and DNA Methylation 9
- Co-authors
- Tim H. Brümmendorf (49 shared papers)Wolfgang Wagner (12 shared papers)Patrick Ziegler (9 shared papers)Carmen Koch (2 shared papers)Martin Zenke (6 shared papers)Carola I. Weidner (3 shared papers)Qiong Lin (3 shared papers)Dirk Bauerschlag (1 shared paper)
- Journals
- Blood (16 papers)International Journal of Molecular Sciences (4 papers)Frontiers in Oncology (4 papers)Clinical Epigenetics (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Fabian Beier
82 papers receiving 2.0k citations
Fabian Beier's Hit Papers
Peers
Comparison fields: 5 of 120
- Aging 130
- Hematology 337
- Genetics 259
- Physiology 581
- Molecular Biology 1.1k
Countries citing papers authored by Fabian Beier
This map shows the geographic impact of Fabian Beier'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 Fabian Beier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Beier more than expected).
Fields of papers citing papers by Fabian Beier
This network shows the impact of papers produced by Fabian Beier. 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 Fabian Beier. The network helps show where Fabian Beier may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabian Beier, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Aging of blood can be tracked by DNA methylation changes at just three CpG sites Hit paper breakdown → | 2014 | 644 |
| 2 | 2016 | 169 | |
| 3 | 2015 | 77 | |
| 4 | 2015 | 67 | |
| 5 | 2012 | 60 | |
| 6 | 2014 | 57 | |
| 7 | 2015 | 57 | |
| 8 | 2018 | 57 | |
| 9 | 2020 | 50 | |
| 10 | 2015 | 49 | |
| 11 | 2016 | 44 | |
| 12 | 2023 | 42 | |
| 13 | 2018 | 40 | |
| 14 | 2017 | 36 | |
| 15 | 2005 | 31 | |
| 16 | 2021 | 27 | |
| 17 | 2019 | 25 | |
| 18 | 2020 | 20 | |
| 19 | 2021 | 20 | |
| 20 | 2007 | 20 |
About Fabian Beier
Fabian Beier is a scholar working on Physiology, Molecular Biology, Hematology, Genetics and Immunology, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (43 papers), Acute Myeloid Leukemia Research (13 papers), Epigenetics and DNA Methylation (9 papers), Immune Cell Function and Interaction (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Mesenchymal stem cell research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Aging (130 citations), Hematology (337 citations), Genetics (259 citations), Physiology (581 citations) and Molecular Biology (1.1k citations). Fabian Beier has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Tim H. Brümmendorf, Wolfgang Wagner, Patrick Ziegler, Carmen Koch, Martin Zenke, Carola I. Weidner, Qiong Lin, Dirk Bauerschlag, Raimund Erbel and Thomas W. Mühleisen. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Frontiers in Oncology, Clinical 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.