Birgit Federmann
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in ⓘ
-
- Lymphoma Diagnosis and Treatment 18
- Oncology 18
- CAR-T cell therapy research 7
- Viral-associated cancers and disorders 6
- Co-authors
- Falko Fend (20 shared papers)Wolfgang Bethge (23 shared papers)Leticia Quintanilla-Martı́nez (10 shared papers)Lothar Kanz (19 shared papers)Irina Bonzheim (13 shared papers)J Schmidt (5 shared papers)Wichard Vogel (16 shared papers)Rupert Handgretinger (7 shared papers)
- Journals
- Blood (9 papers)Annals of Hematology (5 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (4 papers)Haematologica (3 papers)Human Pathology (2 papers)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Birgit Federmann
45 papers receiving 783 citations
Peers
Comparison fields: 5 of 51
- Hematology 329
- Pathology and Forensic Medicine 343
- Genetics 198
- Immunology 284
- Oncology 298
Countries citing papers authored by Birgit Federmann
This map shows the geographic impact of Birgit Federmann'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 Birgit Federmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgit Federmann more than expected).
Fields of papers citing papers by Birgit Federmann
This network shows the impact of papers produced by Birgit Federmann. 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 Birgit Federmann. The network helps show where Birgit Federmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Birgit Federmann, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 142 | |
| 2 | 2012 | 86 | |
| 3 | 2015 | 62 | |
| 4 | 2010 | 49 | |
| 5 | 2014 | 48 | |
| 6 | 2018 | 46 | |
| 7 | 2010 | 46 | |
| 8 | 2014 | 28 | |
| 9 | 2017 | 28 | |
| 10 | 2013 | 27 | |
| 11 | 2020 | 25 | |
| 12 | 2014 | 19 | |
| 13 | 2012 | 17 | |
| 14 | 2014 | 17 | |
| 15 | 2017 | 15 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2015 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2019 | 8 |
About Birgit Federmann
Birgit Federmann is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Genetics and Immunology, having authored 45 papers that have together received 788 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Hematopoietic Stem Cell Transplantation (12 papers), Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (11 papers), CAR-T cell therapy research (7 papers), Viral-associated cancers and disorders (6 papers), Immune Cell Function and Interaction (6 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Hematology (329 citations), Pathology and Forensic Medicine (343 citations), Genetics (198 citations), Immunology (284 citations) and Oncology (298 citations). Birgit Federmann has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Falko Fend, Wolfgang Bethge, Leticia Quintanilla-Martı́nez, Lothar Kanz, Irina Bonzheim, J Schmidt, Wichard Vogel, Rupert Handgretinger, Julia Steinhilber and C. Faul. Their work appears in journals such as Blood, Annals of Hematology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Haematologica and Human Pathology.
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.