Sandra Sauer
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Health Informatics top 10%
Papers in
- Hematology 44
- Multiple Myeloma Research and Treatments 37
- Hematopoietic Stem Cell Transplantation 9
- Oncology 9
- CAR-T cell therapy research 7
- Co-authors
- Hartmut Goldschmidt (27 shared papers)Jens Hillengaß (10 shared papers)Maximilian Merz (7 shared papers)Stefan Delorme (10 shared papers)Marc‐Steffen Raab (6 shared papers)Dirk Hose (3 shared papers)Carsten Müller‐Tidow (18 shared papers)Kai Neben (3 shared papers)
- Journals
- Cancers (6 papers)Investigative Radiology (5 papers)Blood (4 papers)Leukemia (4 papers)BMC Cancer (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Sandra Sauer
62 papers receiving 960 citations
Peers
Comparison fields: 5 of 69
- Hematology 538
- Health Informatics 22
- Oncology 158
- Radiology, Nuclear Medicine and Imaging 132
- Pharmaceutical Science 25
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 96 | |
| 2 | 2013 | 62 | |
| 3 | 2020 | 60 | |
| 4 | 2020 | 44 | |
| 5 | 2008 | 41 | |
| 6 | 2022 | 41 | |
| 7 | 2019 | 37 | |
| 8 | 2014 | 36 | |
| 9 | 2022 | 35 | |
| 10 | 2021 | 30 | |
| 11 | 2024 | 30 | |
| 12 | 2014 | 29 | |
| 13 | 2023 | 28 | |
| 14 | 2022 | 27 | |
| 15 | 2022 | 25 | |
| 16 | 2023 | 25 | |
| 17 | 2023 | 19 | |
| 18 | 2017 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2020 | 14 |
About Sandra Sauer
Sandra Sauer is a scholar working on Hematology, Oncology, Radiology, Nuclear Medicine and Imaging, Statistics, Probability and Uncertainty and General Health Professions, having authored 67 papers that have together received 982 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (37 papers), Hematopoietic Stem Cell Transplantation (9 papers), CAR-T cell therapy research (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Image Segmentation Techniques (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Medical Imaging Techniques and Applications (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Hematology (538 citations), Health Informatics (22 citations), Oncology (158 citations), Radiology, Nuclear Medicine and Imaging (132 citations) and Pharmaceutical Science (25 citations). Sandra Sauer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hartmut Goldschmidt, Jens Hillengaß, Maximilian Merz, Stefan Delorme, Marc‐Steffen Raab, Dirk Hose, Carsten Müller‐Tidow, Kai Neben, Gerlinde Egerer and Thomas Hielscher. Their work appears in journals such as Cancers, Investigative Radiology, Blood, Leukemia and BMC Cancer.
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.