Thomas Mikita
- Immunology top 10%
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions 5
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- DNA and Nucleic Acid Chemistry 5
- DNA Repair Mechanisms 2
- Peroxisome Proliferator-Activated Receptors 2
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
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- Blood Coagulation and Thrombosis Mechanisms 2
- Co-authors
- Ulrike SchindlerG. Peter BeardsleyPengguang WuKeith WilliamsonRichard M. LawnDov ShiffmanAlton B. KremerShoudan Liang
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (4 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesParaguay
In The Last Decade
Thomas Mikita
15 papers receiving 810 citations
Peers
Comparison fields: 5 of 75
- Immunology 343
- Oncology 300
- Cancer Research 141
- Molecular Biology 390
- Genetics 50
Countries citing papers authored by Thomas Mikita
This map shows the geographic impact of Thomas Mikita'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 Mikita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Mikita more than expected).
Fields of papers citing papers by Thomas Mikita
This network shows the impact of papers produced by Thomas Mikita. 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 Mikita. The network helps show where Thomas Mikita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Mikita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 7 | |
| 2 | 2016 | 39 | |
| 3 | 2004 | 14 | |
| 4 | 2001 | 49 | |
| 5 | 2000 | 109 | |
| 6 | 1998 | 52 | |
| 7 | 1998 | 54 | |
| 8 | Synergistic activation of the germline epsilon promoter mediated by Stat6 and C/EBP beta. | 1998 | 58 |
| 9 | 1996 | 235 | |
| 10 | 1994 | 16 | |
| 11 | 1994 | 44 | |
| 12 | 1988 | 92 | |
| 13 | 1988 | 17 | |
| 14 | 1987 | 44 | |
| 15 | Mechanism of action of cytosine arabinoside functional effects of the cytosine arabinoside structural lesion in dna | 1986 | 3 |
About Thomas Mikita
Thomas Mikita is a scholar working on Immunology, Oncology and Genetics, having authored 15 papers that have together received 833 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), DNA Repair Mechanisms (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (343 citations), Oncology (300 citations) and Cancer Research (141 citations). Thomas Mikita has collaborated with scholars based in United States and Paraguay. Frequent co-authors include Ulrike Schindler, G. Peter Beardsley, Pengguang Wu, Keith Williamson, Richard M. Lawn, Dov Shiffman, Alton B. Kremer, Shoudan Liang, J. Gordon Porter and Roland Somogyi. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Immunology.
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.