Franz Hofer

1.5k citations
21 papers · 1.1k · h-index 8

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Protein Kinase Regulation and GTPase Signaling
    • Cell death mechanisms and regulation
    • PI3K/AKT/mTOR signaling in cancer

Papers in

Franz Hofer

18 papers receiving 1.1k citations

Peers

Franz Hofer
Comparison fields: 5 of 93
  • Cell Biology 171
  • Molecular Biology 700
  • Cardiology and Cardiovascular Medicine 166
  • Biotechnology 60
  • Immunology 140
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Deborah Silvera United States
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A L Haas United States
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Citations per field
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Citations per year

Countries citing papers authored by Franz Hofer

Since Specialization
Citations

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

Fields of papers citing papers by Franz Hofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Franz Hofer, 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 Franz Hofer Line = papers co-authored together Franz Hofer 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 1994358
2 1994239
3 1998215
4 199181
5 199868
6 198968
7 198918
8 199114
9 19926
10
A raf/myc virus immortalized macrophage cell line which supports the growth of B-cell and B-cell hybridomas.
19904
11 20053
12 20223
13 20082
14 20202
15 20221
16 19961
17 20151
18 20041
19 20071
20 20201

About Franz Hofer

Franz Hofer is a scholar working on Molecular Biology, Management of Technology and Innovation, Biotechnology, Biomedical Engineering and Automotive Engineering, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Biofuel production and bioconversion (3 papers), Enzyme Production and Characterization (3 papers), Vehicle emissions and performance (2 papers), Advanced Combustion Engine Technologies (2 papers), Viral Infections and Immunology Research (2 papers), Innovation Policy and R&D (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cell Biology (171 citations), Molecular Biology (700 citations), Cardiology and Cardiovascular Medicine (166 citations), Biotechnology (60 citations) and Immunology (140 citations). Franz Hofer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Greg S. Martin, Catherine P. Schneider, Stanley Fields, Lan Huang, Ernst Kuechler, Herwig Machat, M Huettinger, Heinrich Kowalski, Rebecca Berdeaux and Harald Mischak. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Proceedings of the National Academy of Sciences, Current Biology, Journal of General Virology and Biochemistry.

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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