Sonja Heibl
Impact in
-
- Breast Cancer Treatment Studies
-
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
Papers in
- Hematology 11
- Acute Myeloid Leukemia Research 5
- Multiple Myeloma Research and Treatments 4
- Genetics 8
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Daniel Egle (5 shared papers)Simon Peter Gampenrieder (5 shared papers)Michael Hubalek (4 shared papers)Gabriel Rinnerthaler (6 shared papers)Johannes Andel (3 shared papers)Christian F. Singer (5 shared papers)Clemens A. Schmitt (1 shared paper)Christopher Hager (2 shared papers)
- Journals
- Cancer Research (2 papers)Molecular Oncology (1 paper)Breast Cancer Research (1 paper)The Lancet Haematology (1 paper)Integrative Cancer Therapies (1 paper)
- Partner nations
- AustriaSwitzerlandUnited Kingdom
In The Last Decade
Sonja Heibl
15 papers receiving 151 citations
Peers
Comparison fields: 5 of 39
- Cancer Research 60
- Oncology 103
- Genetics 37
- Hematology 21
- Pulmonary and Respiratory Medicine 53
Countries citing papers authored by Sonja Heibl
This map shows the geographic impact of Sonja Heibl'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 Sonja Heibl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Heibl more than expected).
Fields of papers citing papers by Sonja Heibl
This network shows the impact of papers produced by Sonja Heibl. 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 Sonja Heibl. The network helps show where Sonja Heibl may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonja Heibl, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 94 | |
| 2 | 2020 | 13 | |
| 3 | 2020 | 8 | |
| 4 | 2021 | 6 | |
| 5 | 2023 | 6 | |
| 6 | 2020 | 6 | |
| 7 | 2024 | 6 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2021 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2019 | 0 | |
| 20 | 2024 | 0 |
About Sonja Heibl
Sonja Heibl is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 155 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (5 papers), Advanced Breast Cancer Therapies (5 papers), Multiple Myeloma Research and Treatments (4 papers), Kruppel-like factors research (3 papers), Breast Cancer Treatment Studies (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (60 citations), Oncology (103 citations), Genetics (37 citations), Hematology (21 citations) and Pulmonary and Respiratory Medicine (53 citations). Sonja Heibl has collaborated with scholars based in Austria, Switzerland and United Kingdom. Frequent co-authors include Daniel Egle, Simon Peter Gampenrieder, Michael Hubalek, Gabriel Rinnerthaler, Johannes Andel, Christian F. Singer, Clemens A. Schmitt, Christopher Hager, August Zabernigg and Christoph Tinchon. Their work appears in journals such as Cancer Research, Molecular Oncology, Breast Cancer Research, The Lancet Haematology and Integrative Cancer Therapies.
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.