Thomas Twardzik

880 citations
9 papers · 740 · h-index 8

Impact in

  • Aging top 10%
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 2
    • Invertebrate Immune Response Mechanisms 1
    • Signaling Pathways in Disease 4
    • Insect Resistance and Genetics 1
    • RNA modifications and cancer 1

Thomas Twardzik

9 papers receiving 731 citations

Peers

Thomas Twardzik
Comparison fields: 5 of 83
  • Aging 35
  • Immunology 265
  • Cellular and Molecular Neuroscience 151
  • Molecular Biology 398
  • Cell Biology 95
Replace Tracy Washburn with:
Tracy Washburn United States
Shigeru Sugaya Japan
Paul W. Badenhorst United Kingdom
Mélisande Richard Germany
Sudhir Gopal Tattikota United States
Ricardo Sànchez United States
Tom V. Lee United States
William Mattox United States
Inna Inashkina Latvia
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Citations per field
00.5×1.5×2×2.5×
Tracy Washburn · 1×
Citations per year

Countries citing papers authored by Thomas Twardzik

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Twardzik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Twardzik. 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 Twardzik. The network helps show where Thomas Twardzik may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Twardzik, 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 Twardzik Line = papers co-authored together Thomas Twardzik links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1999258
2 2000181
3 2002158
4 199874
5 200319
6
Loss of p53 in craf-induced transgenic lung adenoma leads to tumor acceleration and phenotypic switch.
200318
7 199415
8 200412
9 19975

About Thomas Twardzik

Thomas Twardzik is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Parasitology and Oncology, having authored 9 papers that have together received 740 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (4 papers), Neurobiology and Insect Physiology Research (2 papers), Immune Cell Function and Interaction (2 papers), Insect Resistance and Genetics (1 paper), Cancer Research and Treatments (1 paper), RNA modifications and cancer (1 paper), Invertebrate Immune Response Mechanisms (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Aging (35 citations), Immunology (265 citations), Cellular and Molecular Neuroscience (151 citations), Molecular Biology (398 citations) and Cell Biology (95 citations). Thomas Twardzik has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Edgar Serfling, Sally J. Leevers, David Weinkove, Michael Derek Waterfield, Thomas P. Neufeld, Stefan Klein‐Hessling, Friederike Berberich‐Siebelt, Eriks Jankevics, Andris Avots and Sergei A. Chuvpilo. Their work appears in journals such as The Journal of Experimental Medicine, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Infection and Immunity, Gene and Mechanisms of Development.

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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