Joseph Kauer
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
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- CAR-T cell therapy research
Papers in
- Hematology 14
- Acute Myeloid Leukemia Research 7
- Multiple Myeloma Research and Treatments 7
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- Immune cells in cancer 3
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Jonas S. Heitmann (12 shared papers)Helmut R. Salih (13 shared papers)Melanie Märklin (12 shared papers)Gundram Jung (10 shared papers)Clemens Hinterleitner (6 shared papers)Latifa Zekri (4 shared papers)Hans‐Georg Rammensee (4 shared papers)Ilona Hagelstein (6 shared papers)
- Journals
- Cancers (4 papers)Journal for ImmunoTherapy of Cancer (3 papers)Annals of Hematology (2 papers)Scientific Reports (2 papers)Blood Advances (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Joseph Kauer
22 papers receiving 212 citations
Peers
Comparison fields: 5 of 37
- Hematology 61
- Oncology 104
- Immunology 79
- Genetics 21
- Radiology, Nuclear Medicine and Imaging 42
Countries citing papers authored by Joseph Kauer
This map shows the geographic impact of Joseph Kauer'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 Joseph Kauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Kauer more than expected).
Fields of papers citing papers by Joseph Kauer
This network shows the impact of papers produced by Joseph Kauer. 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 Joseph Kauer. The network helps show where Joseph Kauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Kauer, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 43 | |
| 2 | 2022 | 34 | |
| 3 | 2019 | 22 | |
| 4 | 2020 | 19 | |
| 5 | 2020 | 16 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 9 | |
| 8 | 2020 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2025 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 3 |
About Joseph Kauer
Joseph Kauer is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Genetics, having authored 24 papers that have together received 213 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Multiple Myeloma Research and Treatments (7 papers), CAR-T cell therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune cells in cancer (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (61 citations), Oncology (104 citations), Immunology (79 citations), Genetics (21 citations) and Radiology, Nuclear Medicine and Imaging (42 citations). Joseph Kauer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jonas S. Heitmann, Helmut R. Salih, Melanie Märklin, Gundram Jung, Clemens Hinterleitner, Latifa Zekri, Hans‐Georg Rammensee, Ilona Hagelstein, Malte Roerden and Stefanie Müller. Their work appears in journals such as Cancers, Journal for ImmunoTherapy of Cancer, Annals of Hematology, Scientific Reports and Blood Advances.
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.