Thomas Mikita

949 total citations
15 papers, 833 citations indexed

About

Thomas Mikita is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Thomas Mikita has authored 15 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Thomas Mikita's work include DNA and Nucleic Acid Chemistry (5 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Thomas Mikita is often cited by papers focused on DNA and Nucleic Acid Chemistry (5 papers), Cytokine Signaling Pathways and Interactions (5 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Thomas Mikita collaborates with scholars based in United States and Paraguay. Thomas Mikita's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Thomas Mikita

15 papers receiving 810 citations

Peers

Thomas Mikita
Comparison fields: 5 of 75
  • Molecular Biology 390
  • Immunology 343
  • Oncology 300
  • Cancer Research 141
  • Surgery 67
Replace Hirokazu Hirata with:
Hirokazu Hirata Japan
Ana P. Costa‐Pereira United Kingdom
Philippe O. Gannon Switzerland
Katherine A. Felts United States
Donna Butcher United States
Rudolf Mihalik Hungary
Ikuya Sakai Japan
Bruce Rankin United States
Casie Reed United States
Daniel Wierda United States
Hirokazu Hirata Japan View profile →
Citations per field, relative to Thomas Mikita
Thomas Mikita · 1×
Citations per year, relative to Thomas Mikita
Thomas Mikita · 1×

Countries citing papers authored by Thomas Mikita

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Thomas Mikita

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Mikita. A scholar is included among the top collaborators of Thomas Mikita 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 Mikita. Thomas Mikita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 7
2 39
3 14
4 49
5 109
6 52
7 54
8
Synergistic activation of the germline epsilon promoter mediated by Stat6 and C/EBP beta.
58
9 235
10 16
11 44
12 92
13 17
14 44
15
Mechanism of action of cytosine arabinoside functional effects of the cytosine arabinoside structural lesion in dna
3

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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