Tim Sauer
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
- Oncology 30
- CAR-T cell therapy research 28
- Hematology 19
- Acute Myeloid Leukemia Research 13
- Hematopoietic Stem Cell Transplantation 6
- Co-authors
- Carsten Müller‐Tidow (32 shared papers)Cliona M. Rooney (10 shared papers)Bilal Omer (7 shared papers)Stephen Gottschalk (6 shared papers)Kathan Parikh (4 shared papers)Michael Schmitt (19 shared papers)Thomas Shum (4 shared papers)Malcolm K. Brenner (4 shared papers)
- Journals
- Blood (13 papers)Bone Marrow Transplantation (3 papers)Blood Advances (3 papers)Cancers (3 papers)International Journal of Cancer (2 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Tim Sauer
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Oncology 751
- Hematology 223
- Immunology 300
- Genetics 220
- Genetics 51
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 236 | |
| 2 | 2021 | 153 | |
| 3 | 2017 | 121 | |
| 4 | 2016 | 68 | |
| 5 | 2014 | 58 | |
| 6 | 2020 | 51 | |
| 7 | 2021 | 45 | |
| 8 | 2021 | 40 | |
| 9 | 2020 | 37 | |
| 10 | 2021 | 30 | |
| 11 | 2014 | 30 | |
| 12 | 2016 | 29 | |
| 13 | 2021 | 27 | |
| 14 | 2012 | 26 | |
| 15 | 2015 | 21 | |
| 16 | 2015 | 20 | |
| 17 | 2024 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2023 | 16 | |
| 20 | 2018 | 15 |
About Tim Sauer
Tim Sauer is a scholar working on Oncology, Hematology, Immunology, Molecular Biology and Genetics, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (28 papers), Acute Myeloid Leukemia Research (13 papers), Immune Cell Function and Interaction (10 papers), Virus-based gene therapy research (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Oncology (751 citations), Hematology (223 citations), Immunology (300 citations), Genetics (220 citations) and Genetics (51 citations). Tim Sauer has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Carsten Müller‐Tidow, Cliona M. Rooney, Bilal Omer, Stephen Gottschalk, Kathan Parikh, Michael Schmitt, Thomas Shum, Malcolm K. Brenner, Haruko Tashiro and Christoph Schliemann. Their work appears in journals such as Blood, Bone Marrow Transplantation, Blood Advances, Cancers and International Journal of 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.