Thomas Kindler
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 1%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 50
- Chronic Myeloid Leukemia Treatments 31
- Acute Myeloid Leukemia Research 28
- Multiple Myeloma Research and Treatments 11
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- Protein Degradation and Inhibitors 12
- Co-authors
- Thomas Fischer (10 shared papers)Daniel B. Lipka (12 shared papers)Bernd Kaina (3 shared papers)Daniel Heylmann (2 shared papers)Franz Rödel (1 shared paper)Frank Breitenbuecher (10 shared papers)Thomas Fischer (6 shared papers)Christian Brandts (6 shared papers)
- Journals
- Blood (29 papers)Annals of Oncology (6 papers)Journal of Clinical Oncology (3 papers)Leukemia (3 papers)PLoS ONE (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Thomas Kindler
75 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 98
- Hematology 1.6k
- Genetics 685
- Oncology 580
- Molecular Biology 1.4k
- Cancer Research 221
Countries citing papers authored by Thomas Kindler
This map shows the geographic impact of Thomas Kindler'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 Kindler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Kindler more than expected).
Fields of papers citing papers by Thomas Kindler
This network shows the impact of papers produced by Thomas Kindler. 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 Kindler. The network helps show where Thomas Kindler may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Kindler, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 290 | |
| 2 | 2005 | 211 | |
| 3 | 2005 | 204 | |
| 4 | 2013 | 182 | |
| 5 | 2014 | 182 | |
| 6 | 2017 | 175 | |
| 7 | 2013 | 116 | |
| 8 | 2004 | 108 | |
| 9 | 2021 | 104 | |
| 10 | 2008 | 102 | |
| 11 | 2019 | 99 | |
| 12 | 2009 | 98 | |
| 13 | 2014 | 91 | |
| 14 | 2004 | 82 | |
| 15 | 2020 | 81 | |
| 16 | 2008 | 68 | |
| 17 | 2005 | 61 | |
| 18 | 2009 | 60 | |
| 19 | 2019 | 56 | |
| 20 | 2003 | 39 |
About Thomas Kindler
Thomas Kindler is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Immunology, having authored 80 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (31 papers), Acute Myeloid Leukemia Research (28 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Protein Degradation and Inhibitors (12 papers), Multiple Myeloma Research and Treatments (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Eosinophilic Disorders and Syndromes (7 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (685 citations), Oncology (580 citations), Molecular Biology (1.4k citations) and Cancer Research (221 citations). Thomas Kindler has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Fischer, Daniel B. Lipka, Bernd Kaina, Daniel Heylmann, Franz Rödel, Frank Breitenbuecher, Thomas Fischer, Christian Brandts, Stefan Kasper and Hubert Serve. Their work appears in journals such as Blood, Annals of Oncology, Journal of Clinical Oncology, Leukemia and PLoS ONE.
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.