Thomas Mika

510 citations
29 papers · 392 · h-index 11

Impact in

    • CAR-T cell therapy research
    • Colorectal Cancer Treatments and Studies
    • Viral-associated cancers and disorders
    • Acute Myeloid Leukemia Research

Papers in

Thomas Mika

29 papers receiving 389 citations

Peers

Thomas Mika
Comparison fields: 5 of 46
  • Oncology 189
  • Hematology 76
  • Cancer Research 70
  • Pathology and Forensic Medicine 66
  • Genetics 31
Replace Romil D. Patel with:
Romil D. Patel United States
Haerim Chung South Korea
Xianggui Yuan China
Katherine Elizabeth Masih United States
Elham Roshandel Iran
Georgina L. Ryland Australia
Chiara Borga Italy
Caroline L. Alvares United Kingdom
Barbara Castagnari Italy
Dias Kurmashev United States
Thomas Mika relative to Romil D. Patel United States Romil D. Patel's profile →
Citations per field
00.5×1.5×2×2.4×
Romil D. Patel · 1×
Citations per year

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-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.

Border = papers with Thomas Mika Line = papers co-authored together Thomas Mika links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202458
2 202253
3 202043
4 202033
5 201924
6 201921
7 202019
8 202315
9 201215
10 202313
11 201911
12 20219
13 20259
14 20258
15 20197
16 20197
17 20216
18 20246
19 20225
20 20235

About Thomas Mika

Thomas Mika is a scholar working on Oncology, Pathology and Forensic Medicine, Hematology, Cancer Research and Neurology, having authored 29 papers that have together received 392 indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Cancer Genomics and Diagnostics (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers), Genetic factors in colorectal cancer (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Colorectal Cancer Treatments and Studies (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Oncology (189 citations), Hematology (76 citations), Cancer Research (70 citations), Pathology and Forensic Medicine (66 citations) and Genetics (31 citations). Thomas Mika has collaborated with scholars based in Germany and France. Frequent co-authors include Roland Schroers, Swetlana Ladigan‐Badura, Alexander Baraniskin, Susanne Klein‐Scory, Deepak Vangala, Michael Pohl, Nora Prochnow, Dominic Borie, Ralf Gold and Stephan A. Hahn. Their work appears in journals such as Frontiers in Oncology, Blood Cells Molecules and Diseases, Haematologica, HemaSphere and The Lancet Neurology.

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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