B Krippl

1.1k citations
16 papers · 951 indexed · h-index 11

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • Virus-based gene therapy research 8
    • Animal Genetics and Reproduction 3
    • CAR-T cell therapy research 3

B Krippl

16 papers receiving 888 citations

Peers

B Krippl
Comparison fields: 5 of 61
  • Immunology 321
  • Genetics 415
  • Molecular Biology 611
  • Oncology 171
  • Infectious Diseases 72
Replace Peter M. Dierks with:
Peter M. Dierks United States
Carol Schley United States
S Palmieri United States
Stephen A. Chappell United States
Jean‐Pierre Cabaniols France
C F Barth United States
Timm Weber Germany
Brian Ondek United States
Michael Gregory Peterson United States
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B Krippl relative to Peter M. Dierks United States Peter M. Dierks's profile →
Citations per field
00.5×
Peter M. Dierks · 1×
Citations per year

Countries citing papers authored by B Krippl

Since Specialization
Citations

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

Fields of papers citing papers by B Krippl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 199419
2
The E1A transcriptional control region is efficiently activated in proliferating tissues of transgenic mice.
19948
3 199383
4 1993115
5 1990198
6 198913
7 198898
8 19888
9 19867
10 19867
11 1985171
12 198559
13 198545
14 198553
15 198465
16 19832

About B Krippl

B Krippl is a scholar working on Genetics, Oncology, Molecular Biology, Immunology and Biochemistry, having authored 16 papers that have together received 951 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), RNA Interference and Gene Delivery (4 papers), CAR-T cell therapy research (3 papers), Animal Genetics and Reproduction (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Immunology (321 citations), Genetics (415 citations), Molecular Biology (611 citations), Oncology (171 citations) and Infectious Diseases (72 citations). B Krippl has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Martin Rosenberg, B Ferguson, Heiner Westphal, Ourania Andrisani, H Westphal, Pierre Ferrier, N C Jones, Nicholas C. Jones, Astar Winoto and Heikyung Suh. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal, Journal of Biological Chemistry, Nucleic Acids Research and Molecular and Cellular Biology.

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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