Thomas Köhnke
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Hematology 25
- Acute Myeloid Leukemia Research 22
- Hematopoietic Stem Cell Transplantation 6
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- RNA Interference and Gene Delivery 5
- Single-cell and spatial transcriptomics 4
- Co-authors
- Marion Subklewe (20 shared papers)Christina Krupka (15 shared papers)Felix S. Lichtenegger (13 shared papers)Karsten Spiekermann (16 shared papers)Ravindra Majeti (17 shared papers)Klaus H. Metzeler (7 shared papers)Sascha Haubner (3 shared papers)Wolfgang Hiddemann (15 shared papers)
- Journals
- Blood (12 papers)Leukemia (6 papers)Cancer Discovery (4 papers)Journal of Visualized Experiments (4 papers)Journal of Hematology & Oncology (2 papers)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Thomas Köhnke
45 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 86
- Hematology 855
- Oncology 691
- Immunology 487
- Genetics 209
- Cancer Research 175
Countries citing papers authored by Thomas Köhnke
This map shows the geographic impact of Thomas Köhnke'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 Thomas Köhnke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Köhnke more than expected).
Fields of papers citing papers by Thomas Köhnke
This network shows the impact of papers produced by Thomas Köhnke. 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 Thomas Köhnke. The network helps show where Thomas Köhnke may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Köhnke, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 247 | |
| 2 | 2015 | 201 | |
| 3 | 2013 | 152 | |
| 4 | 2015 | 137 | |
| 5 | 2020 | 127 | |
| 6 | 2017 | 114 | |
| 7 | 2018 | 107 | |
| 8 | 2014 | 75 | |
| 9 | 2020 | 72 | |
| 10 | 2015 | 58 | |
| 11 | 2008 | 52 | |
| 12 | 2014 | 51 | |
| 13 | 2015 | 42 | |
| 14 | 2022 | 41 | |
| 15 | 2017 | 39 | |
| 16 | 2023 | 34 | |
| 17 | 2017 | 31 | |
| 18 | 2021 | 30 | |
| 19 | 2016 | 30 | |
| 20 | 2013 | 23 |
About Thomas Köhnke
Thomas Köhnke is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Public Health, Environmental and Occupational Health, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), CAR-T cell therapy research (14 papers), Acute Lymphoblastic Leukemia research (8 papers), Hematopoietic Stem Cell Transplantation (6 papers), Immune Cell Function and Interaction (6 papers), Cancer Genomics and Diagnostics (5 papers), RNA Interference and Gene Delivery (5 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Hematology (855 citations), Oncology (691 citations), Immunology (487 citations), Genetics (209 citations) and Cancer Research (175 citations). Thomas Köhnke has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Marion Subklewe, Christina Krupka, Felix S. Lichtenegger, Karsten Spiekermann, Ravindra Majeti, Klaus H. Metzeler, Sascha Haubner, Wolfgang Hiddemann, Johanna Tischer and Michael Fiegl. Their work appears in journals such as Blood, Leukemia, Cancer Discovery, Journal of Visualized Experiments and Journal of Hematology & Oncology.
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.