Nadja Jaekel
- Hematology top 5%
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 4
- Multiple Myeloma Research and Treatments 3
- Hematopoietic Stem Cell Transplantation 3
- Genetics top 5%
- Hemoglobinopathies and Related Disorders 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
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- Acute Lymphoblastic Leukemia research 3
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- Epigenetics and DNA Methylation 3
- Co-authors
- Haifa Kathrin Al‐AliDietger NiederwieserClaudia WickenhauserRainer KrahlGeorg MaschmeyerChristian JunghanßMichael CrossGerhard Behre
- Journals
- Journal of Clinical Oncology (1 paper)Blood (7 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Nadja Jaekel
19 papers receiving 360 citations
Peers
Comparison fields: 5 of 36
- Hematology 282
- Genetics 163
- Public Health, Environmental and Occupational Health 109
- Rheumatology 39
- Oncology 64
Countries citing papers authored by Nadja Jaekel
This map shows the geographic impact of Nadja Jaekel'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 Nadja Jaekel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Jaekel more than expected).
Fields of papers citing papers by Nadja Jaekel
This network shows the impact of papers produced by Nadja Jaekel. 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 Nadja Jaekel. The network helps show where Nadja Jaekel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nadja Jaekel, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 0 | |
| 8 | 2019 | 13 | |
| 9 | 2015 | 22 | |
| 10 | 2015 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 43 | |
| 13 | 2013 | 10 | |
| 14 | 2013 | 77 | |
| 15 | 2012 | 2 | |
| 16 | Kinetics of iron removal by phlebotomy in patients with iron overload after allogeneic hematopoietic cell transplantation. | 2012 | 4 |
| 17 | 2011 | 81 | |
| 18 | 2010 | 3 | |
| 19 | 2009 | 2 | |
| 20 | 2007 | 8 |
About Nadja Jaekel
Nadja Jaekel is a scholar working on Hematology, Genetics and Oncology, having authored 22 papers that have together received 368 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Hemoglobinopathies and Related Disorders (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Hematology (282 citations), Genetics (163 citations) and Public Health, Environmental and Occupational Health (109 citations). Nadja Jaekel has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Haifa Kathrin Al‐Ali, Dietger Niederwieser, Claudia Wickenhauser, Rainer Krahl, Georg Maschmeyer, Christian Junghanß, Michael Cross, Gerhard Behre, Thoralf Lange and Monika Brüggemann. Their work appears in journals such as Journal of Clinical Oncology, Blood and International Journal of Molecular Sciences.
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.