Thomas Mika
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
-
- CAR-T cell therapy research
- Colorectal Cancer Treatments and Studies
- Viral-associated cancers and disorders
Papers in
- Oncology 14
- CAR-T cell therapy research 9
- Colorectal Cancer Treatments and Studies 3
-
- Lymphoma Diagnosis and Treatment 5
- Genetic factors in colorectal cancer 3
- Co-authors
- Roland Schroers (26 shared papers)Alexander Baraniskin (13 shared papers)Susanne Klein‐Scory (10 shared papers)Deepak Vangala (11 shared papers)Nora Prochnow (1 shared paper)Michael Pohl (3 shared papers)Gerald Wulf (5 shared papers)Ralf Gold (2 shared papers)
In The Last Decade
Thomas Mika
26 papers receiving 323 citations
Peers
Comparison fields: 5 of 46
- Hematology 67
- Oncology 158
- Cancer Research 65
- Pathology and Forensic Medicine 63
- Genetics 27
Countries citing papers authored by Thomas Mika
This map shows the geographic impact of Thomas Mika'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 Mika with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Mika more than expected).
Fields of papers citing papers by Thomas Mika
This network shows the impact of papers produced by Thomas Mika. 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 Mika. The network helps show where Thomas Mika may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Mika, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 48 | |
| 2 | 2022 | 47 | |
| 3 | 2020 | 38 | |
| 4 | 2020 | 24 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 19 | |
| 7 | 2020 | 17 | |
| 8 | 2012 | 15 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2021 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 3 |
About Thomas Mika
Thomas Mika is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Hematology and Cancer Research, having authored 27 papers that have together received 325 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Cancer Genomics and Diagnostics (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Hematology (67 citations), Oncology (158 citations), Cancer Research (65 citations), Pathology and Forensic Medicine (63 citations) and Genetics (27 citations). Thomas Mika has collaborated with scholars based in Germany and France. Frequent co-authors include Roland Schroers, Alexander Baraniskin, Susanne Klein‐Scory, Deepak Vangala, Nora Prochnow, Michael Pohl, Gerald Wulf, Ralf Gold, Dominic Borie and Stephan A. Hahn. Their work appears in journals such as Frontiers in Oncology, HemaSphere, Blood Cells Molecules and Diseases, Haematologica and Brain Research.
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.