Eva Jäger
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 13
- Chronic Myeloid Leukemia Treatments 6
- Hematopoietic Stem Cell Transplantation 2
- Genetics 11
- Myeloproliferative Neoplasms: Diagnosis and Treatment 11
- Diabetes and associated disorders 1
- Co-authors
- Lee A. Segel (4 shared papers)Dana Elias (1 shared paper)Irun R. Cohen (1 shared paper)Klaus Geißler (13 shared papers)Ilse Schwarzinger (5 shared papers)Roland B. Walter (1 shared paper)Vincent H. J. van der Velden (1 shared paper)Jeroen G. te Marvelde (1 shared paper)
In The Last Decade
Eva Jäger
23 papers receiving 236 citations
Peers
Comparison fields: 5 of 77
- Modeling and Simulation 61
- Hematology 66
- Genetics 49
- Statistical and Nonlinear Physics 33
- Immunology 34
Countries citing papers authored by Eva Jäger
This map shows the geographic impact of Eva Jäger'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 Eva Jäger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Jäger more than expected).
Fields of papers citing papers by Eva Jäger
This network shows the impact of papers produced by Eva Jäger. 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 Eva Jäger. The network helps show where Eva Jäger may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Jäger, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 90 | |
| 2 | 1995 | 30 | |
| 3 | 2011 | 28 | |
| 4 | Circulating hematopoietic progenitor cells predict survival in patients with myelofibrosis with myeloid metaplasia. | 2003 | 17 |
| 5 | Idiopathic bone marrow dysplasia of unknown significance (IDUS): definition, pathogenesis, follow up, and prognosis. | 2011 | 17 |
| 6 | 2016 | 11 | |
| 7 | 1994 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2014 | 5 | |
| 10 | 2014 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 1995 | 3 | |
| 17 | 2021 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2003 | 1 |
About Eva Jäger
Eva Jäger is a scholar working on Hematology, Genetics, Immunology, Molecular Biology and Oncology, having authored 24 papers that have together received 249 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Chronic Myeloid Leukemia Treatments (6 papers), T-cell and B-cell Immunology (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), CAR-T cell therapy research (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Modeling and Simulation (61 citations), Hematology (66 citations), Genetics (49 citations), Statistical and Nonlinear Physics (33 citations) and Immunology (34 citations). Eva Jäger has collaborated with scholars based in Austria, Germany and Croatia. Frequent co-authors include Lee A. Segel, Dana Elias, Irun R. Cohen, Klaus Geißler, Ilse Schwarzinger, Roland B. Walter, Vincent H. J. van der Velden, Jeroen G. te Marvelde, Peter Valent and Vladimir Vainstein. Their work appears in journals such as European Journal Of Haematology, Cancers, ESMO Open, SIAM Journal on Applied Mathematics and International Journal of 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.