Tabea Erdmann
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 16
- Genetics 7
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Georg Lenz (14 shared papers)Kieron M. Dunleavy (1 shared paper)German Ott (2 shared papers)Juan M. Vaquerizas (1 shared paper)Annette M. Staiger (1 shared paper)Noèlia Díaz (1 shared paper)Kai Kruse (1 shared paper)Michael J. Grau (6 shared papers)
- Journals
- Blood (7 papers)Nature Communications (3 papers)Leukemia (3 papers)Molecular Cancer Therapeutics (1 paper)Nature Immunology (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Tabea Erdmann
22 papers receiving 896 citations
Peers
Comparison fields: 5 of 69
- Pathology and Forensic Medicine 402
- Genetics 193
- Oncology 349
- Cancer Research 125
- Immunology 182
Countries citing papers authored by Tabea Erdmann
This map shows the geographic impact of Tabea Erdmann'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 Tabea Erdmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tabea Erdmann more than expected).
Fields of papers citing papers by Tabea Erdmann
This network shows the impact of papers produced by Tabea Erdmann. 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 Tabea Erdmann. The network helps show where Tabea Erdmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Tabea Erdmann, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 130 | |
| 2 | 2017 | 88 | |
| 3 | 2014 | 83 | |
| 4 | 2018 | 79 | |
| 5 | 2016 | 60 | |
| 6 | 2023 | 53 | |
| 7 | 2018 | 50 | |
| 8 | 2019 | 43 | |
| 9 | 2016 | 42 | |
| 10 | 2022 | 38 | |
| 11 | 2016 | 38 | |
| 12 | 2021 | 37 | |
| 13 | 2016 | 32 | |
| 14 | 2019 | 29 | |
| 15 | 2019 | 29 | |
| 16 | 2020 | 28 | |
| 17 | 2022 | 19 | |
| 18 | 2018 | 16 | |
| 19 | 2019 | 12 | |
| 20 | 2016 | 4 |
About Tabea Erdmann
Tabea Erdmann is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology, Cancer Research and Oncology, having authored 23 papers that have together received 916 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Chronic Lymphocytic Leukemia Research (7 papers), CAR-T cell therapy research (4 papers), NF-κB Signaling Pathways (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Ubiquitin and proteasome pathways (3 papers), Galectins and Cancer Biology (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (402 citations), Genetics (193 citations), Oncology (349 citations), Cancer Research (125 citations) and Immunology (182 citations). Tabea Erdmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Georg Lenz, Kieron M. Dunleavy, German Ott, Juan M. Vaquerizas, Annette M. Staiger, Noèlia Díaz, Kai Kruse, Michael J. Grau, Wolfgang E. Berdel and Beiying Dai. Their work appears in journals such as Blood, Nature Communications, Leukemia, Molecular Cancer Therapeutics and Nature Immunology.
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.