Daniel C. Thomis

2.5k citations
21 papers · 2.3k · h-index 18

Impact in

  • Immunology top 2%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • interferon and immune responses 8
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Cytokine Signaling Pathways and Interactions 10

Daniel C. Thomis

21 papers receiving 2.2k citations

Peers

Daniel C. Thomis
Comparison fields: 5 of 68
  • Immunology 1.2k
  • Oncology 757
  • Molecular Biology 1.0k
  • Pharmacology 114
  • Virology 61
Replace Lara S. Izotova with:
Lara S. Izotova United States
Dirk R. Gewert United Kingdom
Xiqing Cao China
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Chiara Bovolenta Italy
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Citations per field
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Citations per year

Countries citing papers authored by Daniel C. Thomis

Since Specialization
Citations

This map shows the geographic impact of Daniel C. Thomis'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 Daniel C. Thomis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Thomis more than expected).

Fields of papers citing papers by Daniel C. Thomis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Thomis. 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 Daniel C. Thomis. The network helps show where Daniel C. Thomis may publish in the future.

Co-authors

The 23 scholars most cited alongside Daniel C. Thomis, 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 Daniel C. Thomis Line = papers co-authored together Daniel C. Thomis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995493
2 1989278
3 2001168
4 1992159
5 1996145
6 1995133
7 1993120
8 1989118
9 1992104
10 199284
11 199780
12 199775
13 200162
14 199559
15 199748
16 199843
17 199632
18 199231
19 199916
20 199712

About Daniel C. Thomis

Daniel C. Thomis is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (10 papers), interferon and immune responses (8 papers), RNA regulation and disease (8 papers), RNA and protein synthesis mechanisms (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Virus-based gene therapy research (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (757 citations), Molecular Biology (1.0k citations), Pharmacology (114 citations) and Virology (61 citations). Daniel C. Thomis has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Charles E. Samuel, Leslie J. Berg, Christine B. Gurniak, Elizabeth A. Tivol, Arlene H. Sharpe, Stephen J. McCormack, Markus Aebi, Otto Haller, Peter Staeheli and J Fäh. Their work appears in journals such as Virology, Molecular and Cellular Biology, Journal of Virology, The Journal of Immunology and Blood.

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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