Thomas Mika

455 total citations
27 papers, 295 citations indexed

About

Thomas Mika is a scholar working on Oncology, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Thomas Mika has authored 27 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 9 papers in Pathology and Forensic Medicine and 9 papers in Hematology. Recurrent topics in Thomas Mika's work include CAR-T cell therapy research (9 papers), Cancer Genomics and Diagnostics (7 papers) and Acute Myeloid Leukemia Research (5 papers). Thomas Mika is often cited by papers focused on CAR-T cell therapy research (9 papers), Cancer Genomics and Diagnostics (7 papers) and Acute Myeloid Leukemia Research (5 papers). Thomas Mika collaborates with scholars based in Germany and France. Thomas Mika's co-authors include Roland Schroers, Alexander Baraniskin, Susanne Klein‐Scory, Deepak Vangala, Nora Prochnow, Michael Pohl, Gerald Wulf, Stephan A. Hahn, Abdelouahid Maghnouj and Wanda M. Gerding and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Brain Research.

In The Last Decade

Thomas Mika

26 papers receiving 291 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Mika Germany 11 151 80 76 68 67 27 295
Manjari Pandey United States 12 166 1.1× 59 0.7× 61 0.8× 20 0.3× 64 1.0× 20 332
Xianggui Yuan China 8 75 0.5× 148 1.9× 56 0.7× 41 0.6× 113 1.7× 21 312
Athalia R. Pyzer United States 9 183 1.2× 156 1.9× 56 0.7× 57 0.8× 63 0.9× 23 398
Hila Shaim United States 10 131 0.9× 73 0.9× 38 0.5× 80 1.2× 22 0.3× 19 360
Sylvia Snauwaert Belgium 10 182 1.2× 85 1.1× 129 1.7× 31 0.5× 22 0.3× 34 324
Benjamin Buelow United States 8 163 1.1× 122 1.5× 33 0.4× 18 0.3× 40 0.6× 9 306
Mariana L. Oliveira Portugal 8 78 0.5× 131 1.6× 23 0.3× 59 0.9× 39 0.6× 10 292
John F. Schwerkoske United States 8 110 0.7× 174 2.2× 26 0.3× 30 0.4× 54 0.8× 13 343
Д. М. Коновалов Russia 8 64 0.4× 74 0.9× 63 0.8× 14 0.2× 42 0.6× 72 230
Muh‐Hwa Yang Taiwan 11 111 0.7× 94 1.2× 46 0.6× 12 0.2× 37 0.6× 25 302

Countries citing papers authored by Thomas Mika

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Mika

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Mika. A scholar is included among the top collaborators of Thomas Mika based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Mika. Thomas Mika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aloizou, Athina‐Maria, Christoph H. Lohmann, Simon Faissner, et al.. (2025). Anti-CD19 CAR T-Cell Therapy in Advanced Stiff-Person Syndrome and Concomitant Myasthenia Gravis. Neurology Neuroimmunology & Neuroinflammation. 12(6). e200479–e200479. 1 indexed citations
2.
Mika, Thomas, et al.. (2024). Comparison of peripheral blood automated hematopoietic progenitor cell count and flow cytometric CD34+ cell count. Journal of Clinical Apheresis. 39(3). e22114–e22114.
3.
Klein‐Scory, Susanne, Alexander Baraniskin, Wolff Schmiegel, et al.. (2024). Evaluation of circulating tumor DNA as a prognostic and predictive biomarker in BRAF V600E mutated colorectal cancer—results from the FIRE ‐4.5 study. Molecular Oncology. 19(2). 344–356. 4 indexed citations
4.
Vangala, Deepak, Thomas Mika, Alexander Kreuter, et al.. (2024). High-dose chemotherapy and autologous hematopoietic stem cell transplantation for progressive systemic sclerosis: a retrospective study of outcome and prognostic factors. Journal of Cancer Research and Clinical Oncology. 150(6). 301–301. 3 indexed citations
5.
Gerding, Wanda M., Stefan Wieczorek, Thomas Mika, et al.. (2023). Novel NUP98::ASH1L Gene Fusion in Acute Myeloid Leukemia Detected by Optical Genome Mapping. Cancers. 15(11). 2942–2942. 10 indexed citations
6.
Seifert, Nicole, Deepak Vangala, Sabine Seidel, et al.. (2023). Treatment Strategies and Prognostic Factors in Secondary Central Nervous System Lymphoma: A Multicenter Study of 124 Patients. HemaSphere. 7(8). e926–e926. 2 indexed citations
7.
Maghnouj, Abdelouahid, et al.. (2023). Cytotoxicity of CD19-CAR-NK92 cells is primarily mediated via perforin/granzyme pathway. Cancer Immunology Immunotherapy. 72(8). 2573–2583. 12 indexed citations
8.
Baraniskin, Alexander, Hideo A. Baba, Dirk Theegarten, et al.. (2023). Liquid biopsy can cure early colorectal cancer recurrence – Case Report. Frontiers in Oncology. 13. 1141833–1141833. 3 indexed citations
9.
Klein‐Scory, Susanne, Thomas Mika, Berlinda Verdoodt, et al.. (2023). Liquid biopsy based HER2 amplification status in gastric cancer patients indicates clinical response. Heliyon. 9(11). e21339–e21339. 3 indexed citations
10.
Gerding, Wanda M., Thomas Mika, Matthias Eckhardt, et al.. (2022). Optical genome mapping reveals additional prognostic information compared to conventional cytogenetics in AML/MDS patients. International Journal of Cancer. 150(12). 1998–2011. 42 indexed citations
11.
Vangala, Deepak, et al.. (2022). Treatment of leptomeningeal disease in blastic plasmacytoid dendritic cell neoplasm following tagraxofusp-erzs induction. Haematologica. 107(8). 2004–2007. 2 indexed citations
12.
Gerding, Wanda M., Joanna M. Lubieniecka, Thomas Liehr, et al.. (2022). Broad genomic workup including optical genome mapping uncovers a DDX3X: MLLT10 gene fusion in acute myeloid leukemia. Frontiers in Oncology. 12. 959243–959243. 3 indexed citations
13.
Mika, Thomas, Deepak Vangala, Matthias Eckhardt, et al.. (2021). Case Report: Hemophagocytic Lymphohistiocytosis and Non-Tuberculous Mycobacteriosis Caused by a Novel GATA2 Variant. Frontiers in Immunology. 12. 682934–682934. 6 indexed citations
15.
Mika, Thomas, Abdelouahid Maghnouj, Susanne Klein‐Scory, et al.. (2020). Digital-Droplet PCR for Quantification of CD19-Directed CAR T-Cells. Frontiers in Molecular Biosciences. 7. 84–84. 24 indexed citations
16.
Mika, Thomas, Abdelouahid Maghnouj, Susanne Klein‐Scory, et al.. (2020). Altered T-Lymphocyte Biology Following High-Dose Melphalan and Autologous Stem Cell Transplantation With Implications for Adoptive T-Cell Therapy. Frontiers in Oncology. 10. 568056–568056. 16 indexed citations
17.
Mika, Thomas, et al.. (2019). Acute myeloid leukemia with central diabetes insipidus. Blood Cells Molecules and Diseases. 76. 45–52. 7 indexed citations
18.
Mika, Thomas, Alexander Baraniskin, Deepak Vangala, et al.. (2019). Allogeneic hematopoietic stem cell transplantation for primary central nervous system lymphoma. Haematologica. 105(4). e160–e163. 6 indexed citations
19.
Mika, Thomas, Clemens Aigner, Uwe Schlegel, et al.. (2019). Refractory Epstein-Barr Virus (EBV)-Related Post-transplant Lymphoproliferative Disease: Cure by Combined Brentuximab Vedotin and Allogeneic EBV-Specific T-Lymphocytes. Frontiers in Medicine. 6. 295–295. 19 indexed citations
20.
Mika, Thomas, Karin Schork, Michael Turewicz, et al.. (2019). Monocytes-neutrophils-ratio as predictive marker for failure of first induction therapy in AML. Blood Cells Molecules and Diseases. 77. 103–108. 11 indexed citations

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.

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