B Krippl

1.1k citations
16 papers · 951 · 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

    • Viral Infectious Diseases and Gene Expression in Insects 7
    • RNA Interference and Gene Delivery 4
    • Virus-based gene therapy research 8
    • Animal Genetics and Reproduction 3

B Krippl

16 papers receiving 889 citations

Peers

B Krippl
Comparison fields: 5 of 61
  • Immunology 321
  • Genetics 413
  • Molecular Biology 605
  • Oncology 170
  • 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
Meni Melek United States
Tamar Kleinberger Israel
C F Barth United States
Jean‐Pierre Cabaniols France
Clifton E. McPherson United States
Mark Dixon United Kingdom
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-authors

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

About B Krippl

B Krippl is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Ecology, 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), Animal Genetics and Reproduction (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Immunology (321 citations), Genetics (413 citations), Molecular Biology (605 citations), Oncology (170 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, Pierre Ferrier, H Westphal, N C Jones, Nicholas C. Jones, Leroy Hood and W D Cook. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nucleic Acids Research, Molecular and Cellular Biology and The EMBO Journal.

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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