Andreas Begitt

854 citations
12 papers · 659 · h-index 10

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Cell Function and Interaction
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Cytokine Signaling Pathways and Interactions 11
    • RNA Research and Splicing 4
    • Protein Tyrosine Phosphatases 3
    • Cell death mechanisms and regulation 2
    • PI3K/AKT/mTOR signaling in cancer 2

Andreas Begitt

12 papers receiving 647 citations

Peers

Andreas Begitt
Comparison fields: 5 of 62
  • Immunology 371
  • Oncology 404
  • Molecular Biology 340
  • Cancer Research 70
  • Virology 14
Replace Shyamal D. Desai with:
Shyamal D. Desai United States
Sébastien Apcher France
Zhinan Xia United States
Gabriel Bricard United States
Elisa Garcia-Wilson United Kingdom
Magdalena Kovacsovics United States
Ashley J. Chui United States
Sam Strickson United Kingdom
Anita Diu France
Andrés Salmerón United States
Andreas Begitt relative to Shyamal D. Desai United States Shyamal D. Desai's profile →
Citations per field
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Shyamal D. Desai · 1×
Citations per year

Countries citing papers authored by Andreas Begitt

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Begitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2002157
2 2000150
3 201471
4 200464
5 201161
6 201650
7 201142
8 200726
9 201121
10 20139
11 20234
12 20114

About Andreas Begitt

Andreas Begitt is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Pharmacology, having authored 12 papers that have together received 659 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (11 papers), interferon and immune responses (6 papers), RNA Research and Splicing (4 papers), Protein Tyrosine Phosphatases (3 papers), NF-κB Signaling Pathways (2 papers), Cell death mechanisms and regulation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (371 citations), Oncology (404 citations), Molecular Biology (340 citations), Cancer Research (70 citations) and Virology (14 citations). Andreas Begitt has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Uwe Vinkemeier, Thomas Meyer, Mathias Droescher, Inga Lödige, Klaus‐Peter Knobeloch, Susan John, Martin Zacharias, Andreas Marg, Maureen Mee and David J. Scott. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, PLoS Biology, FEBS Journal and Oncotarget.

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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