Heidi Altmann
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Virus-based gene therapy research
Papers in
- Hematology 12
- Acute Myeloid Leukemia Research 12
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Martin Bornhäuser (16 shared papers)Sarah K. Tasian (4 shared papers)Jayakumar Vadakekolathu (6 shared papers)Sergio Rutella (6 shared papers)Graham Ball (1 shared paper)A. Graham Pockley (2 shared papers)Sarah Wagner (1 shared paper)Friedrich Stölzel (7 shared papers)
- Journals
- Blood (3 papers)British Journal of Haematology (2 papers)Biomarker Research (1 paper)Analytical Chemistry (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Heidi Altmann
15 papers receiving 146 citations
Peers
Comparison fields: 5 of 30
- Hematology 76
- Genetics 25
- Oncology 60
- Health Informatics 2
- Immunology 31
Countries citing papers authored by Heidi Altmann
This map shows the geographic impact of Heidi Altmann'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 Heidi Altmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi Altmann more than expected).
Fields of papers citing papers by Heidi Altmann
This network shows the impact of papers produced by Heidi Altmann. 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 Heidi Altmann. The network helps show where Heidi Altmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Heidi Altmann, 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 | 2019 | 40 | |
| 2 | 2021 | 27 | |
| 3 | 2018 | 20 | |
| 4 | 2020 | 12 | |
| 5 | 2019 | 12 | |
| 6 | 2020 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Heidi Altmann
Heidi Altmann is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Cancer Research, having authored 18 papers that have together received 148 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), CAR-T cell therapy research (4 papers), Cancer Genomics and Diagnostics (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Immune Cell Function and Interaction (3 papers), Immune cells in cancer (3 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Hematology (76 citations), Genetics (25 citations), Oncology (60 citations), Health Informatics (2 citations) and Immunology (31 citations). Heidi Altmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Martin Bornhäuser, Sarah K. Tasian, Jayakumar Vadakekolathu, Sergio Rutella, Graham Ball, A. Graham Pockley, Sarah Wagner, Friedrich Stölzel, Anja Feldmann and Stefanie Koristka. Their work appears in journals such as Blood, British Journal of Haematology, Biomarker Research, Analytical Chemistry and Frontiers in 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.