Tim Sauer
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Hematology 41
- Acute Myeloid Leukemia Research 36
- Multiple Myeloma Research and Treatments 7
- Chronic Myeloid Leukemia Treatments 7
- Oncology 32
- CAR-T cell therapy research 29
- Co-authors
- Cliona M. Rooney (10 shared papers)Carsten Müller‐Tidow (27 shared papers)Bilal A. Omer (6 shared papers)Stephen M Gottschalk (5 shared papers)Kathan Parikh (4 shared papers)Michael W. Schmitt (15 shared papers)Haruko Tashiro (4 shared papers)Thomas Shum (4 shared papers)
- Journals
- Blood (8 papers)Leukemia (6 papers)Blood Advances (5 papers)Blood Cancer Journal (4 papers)Bone Marrow Transplantation (3 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Tim Sauer
75 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 109
- Hematology 789
- Oncology 1.1k
- Immunology 436
- Genetics 167
- Cancer Research 172
Countries citing papers authored by Tim Sauer
This map shows the geographic impact of Tim 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 Tim Sauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Sauer more than expected).
Fields of papers citing papers by Tim Sauer
This network shows the impact of papers produced by Tim 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 Tim Sauer. The network helps show where Tim Sauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 257 | |
| 2 | 2016 | 203 | |
| 3 | 2021 | 181 | |
| 4 | 2017 | 140 | |
| 5 | 2023 | 99 | |
| 6 | 2013 | 92 | |
| 7 | 2016 | 77 | |
| 8 | 2023 | 77 | |
| 9 | 2022 | 70 | |
| 10 | 2023 | 69 | |
| 11 | 2020 | 60 | |
| 12 | 2014 | 58 | |
| 13 | 2021 | 56 | |
| 14 | 2022 | 54 | |
| 15 | 2023 | 54 | |
| 16 | 2021 | 46 | |
| 17 | 2020 | 41 | |
| 18 | 2021 | 41 | |
| 19 | 2021 | 36 | |
| 20 | 2022 | 35 |
About Tim Sauer
Tim Sauer is a scholar working on Hematology, Oncology, Immunology, Genetics and Public Health, Environmental and Occupational Health, having authored 84 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (36 papers), CAR-T cell therapy research (29 papers), Acute Lymphoblastic Leukemia research (12 papers), Virus-based gene therapy research (9 papers), Immune Cell Function and Interaction (9 papers), Multiple Myeloma Research and Treatments (7 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). The work is most often cited by research in Hematology (789 citations), Oncology (1.1k citations), Immunology (436 citations), Genetics (167 citations) and Cancer Research (172 citations). Tim Sauer has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Cliona M. Rooney, Carsten Müller‐Tidow, Bilal A. Omer, Stephen M Gottschalk, Kathan Parikh, Michael W. Schmitt, Haruko Tashiro, Thomas Shum, Malcolm K. Brenner and Christoph Schliemann. Their work appears in journals such as Blood, Leukemia, Blood Advances, Blood Cancer Journal and Bone Marrow Transplantation.
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.