Sandra Sauer
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
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- Cancer Treatment and Pharmacology
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
- Hematology 37
- Multiple Myeloma Research and Treatments 35
- Hematopoietic Stem Cell Transplantation 6
- Acute Myeloid Leukemia Research 4
- Oncology 17
- Cancer Treatment and Pharmacology 8
- Peptidase Inhibition and Analysis 4
- Co-authors
- Hartmut Goldschmidt (32 shared papers)Jens Hillengaß (14 shared papers)Stefan Delorme (13 shared papers)Maximilian Merz (6 shared papers)Kai Neben (3 shared papers)Carsten Müller‐Tidow (23 shared papers)Dirk Hose (3 shared papers)Gerlinde Egerer (5 shared papers)
- Journals
- Cancers (6 papers)Blood (6 papers)BMC Cancer (3 papers)Leukemia (2 papers)European Radiology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Sandra Sauer
47 papers receiving 573 citations
Peers
Comparison fields: 5 of 84
- Hematology 324
- Oncology 231
- Genetics 57
- Emergency Medicine 44
- Hepatology 30
Countries citing papers authored by Sandra Sauer
This map shows the geographic impact of Sandra Sauer'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 Sandra Sauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Sauer more than expected).
Fields of papers citing papers by Sandra Sauer
This network shows the impact of papers produced by Sandra Sauer. 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 Sandra Sauer. The network helps show where Sandra Sauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra Sauer, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 71 | |
| 2 | 2013 | 49 | |
| 3 | 2020 | 48 | |
| 4 | 2008 | 37 | |
| 5 | 2022 | 36 | |
| 6 | 2019 | 32 | |
| 7 | 2014 | 29 | |
| 8 | 2014 | 26 | |
| 9 | 2021 | 24 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 17 | |
| 12 | 2017 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 8 |
About Sandra Sauer
Sandra Sauer is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Biomedical Engineering, having authored 54 papers that have together received 583 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (35 papers), Cancer Treatment and Pharmacology (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Protein Degradation and Inhibitors (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Hematological disorders and diagnostics (5 papers), Acute Myeloid Leukemia Research (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Hematology (324 citations), Oncology (231 citations), Genetics (57 citations), Emergency Medicine (44 citations) and Hepatology (30 citations). Sandra Sauer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hartmut Goldschmidt, Jens Hillengaß, Stefan Delorme, Maximilian Merz, Kai Neben, Carsten Müller‐Tidow, Dirk Hose, Gerlinde Egerer, Karin Jordan and Marc‐Steffen Raab. Their work appears in journals such as Cancers, Blood, BMC Cancer, Leukemia and European Radiology.
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.