Annette Schmitt‐Graeff
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 27
- Acute Myeloid Leukemia Research 24
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 33
- Chronic Lymphocytic Leukemia Research 18
- Immunology top 1%
- Immune Cell Function and Interaction 25
- Immunodeficiency and Autoimmune Disorders 14
- Hepatology top 2%
- Oncology top 2%
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- Eosinophilic Disorders and Syndromes 25
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- Lymphoma Diagnosis and Treatment 20
- Co-authors
- Giulio GabbianiJürgen FinkeRobert ZeiserHans Michael KvasnickaUlrich SalzerHelmut DenkJüergen ThieleHendrik Veelken
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Annette Schmitt‐Graeff
186 papers receiving 6.5k citations
Peers
Comparison fields: 5 of 121
- Hematology 1.8k
- Genetics 1.4k
- Immunology 2.0k
- Hepatology 478
- Oncology 1.4k
Countries citing papers authored by Annette Schmitt‐Graeff
This map shows the geographic impact of Annette Schmitt‐Graeff'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 Annette Schmitt‐Graeff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annette Schmitt‐Graeff more than expected).
Fields of papers citing papers by Annette Schmitt‐Graeff
This network shows the impact of papers produced by Annette Schmitt‐Graeff. 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 Annette Schmitt‐Graeff. The network helps show where Annette Schmitt‐Graeff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Annette Schmitt‐Graeff, 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 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 64 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 23 | |
| 10 | 2018 | 73 | |
| 11 | 2015 | 84 | |
| 12 | 2012 | 45 | |
| 13 | 2012 | 58 | |
| 14 | 2012 | 23 | |
| 15 | 2008 | 59 | |
| 16 | 2005 | 3 | |
| 17 | 2002 | 6 | |
| 18 | 2002 | 4 | |
| 19 | 2001 | 2 | |
| 20 | 2000 | 14 |
About Annette Schmitt‐Graeff
Annette Schmitt‐Graeff is a scholar working on Hematology, Genetics and Immunology, having authored 195 papers that have together received 6.6k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (33 papers), Chronic Myeloid Leukemia Treatments (27 papers), Eosinophilic Disorders and Syndromes (25 papers), Immune Cell Function and Interaction (25 papers), Acute Myeloid Leukemia Research (24 papers), Lymphoma Diagnosis and Treatment (20 papers), Chronic Lymphocytic Leukemia Research (18 papers) and Immunodeficiency and Autoimmune Disorders (14 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (1.4k citations) and Immunology (2.0k citations). Annette Schmitt‐Graeff has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Giulio Gabbiani, Jürgen Finke, Robert Zeiser, Hans Michael Kvasnicka, Ulrich Salzer, Helmut Denk, Jüergen Thiele, Hendrik Veelken, Hubert E. Blum and Roland Nitschke. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and Blood.
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.