Gregor Högenauer

66 papers receiving 2.1k citations

Peers

Gregor Högenauer
Comparison fields: 5 of 99
  • Molecular Medicine 243
  • Endocrinology 151
  • Microbiology 165
  • Small Animals 165
  • Molecular Biology 1.4k
Replace Marie‐Antoinette Lanéelle with:
Marie‐Antoinette Lanéelle France
J. Davies United States
Apoorva Bhatt United Kingdom
Daniel R. Gentry United States
Angus Bell Ireland
Jana Korduláková Slovakia
Patrick J. Brennan United States
Eugenie Dubnau United States
David J. Haydon United Kingdom
Hélène Barreteau France
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Citations per field
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Marie‐Antoinette Lanéelle · 1×
Citations per year

Countries citing papers authored by Gregor Högenauer

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Högenauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996143
2 1994140
3 1962130
4 1991107
5 200786
6 198983
7 199777
8 199576
9 198170
10 197468
11 197566
12 198265
13 197060
14 199256
15 199652
16 199849
17 199746
18 196145
19 199144
20 200043

About Gregor Högenauer

Gregor Högenauer is a scholar working on Molecular Biology, Genetics, Ecology, Small Animals and Molecular Medicine, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (29 papers), RNA and protein synthesis mechanisms (27 papers), Bacteriophages and microbial interactions (12 papers), RNA modifications and cancer (10 papers), Antibiotic Resistance in Bacteria (7 papers), Veterinary medicine and infectious diseases (7 papers), RNA Research and Splicing (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Molecular Medicine (243 citations), Endocrinology (151 citations), Microbiology (165 citations), Small Animals (165 citations) and Molecular Biology (1.4k citations). Gregor Högenauer has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Friederike Turnowsky, Helmut Bergler, Werner Herz, M. Woisetschläger, Günther Koraimann, Anita Jandrositz, Ellen L. Zechner, Helmut Jungwirth, Gertrude Zisser and Vassilis Koronakis. Their work appears in journals such as European Journal of Biochemistry, Journal of Bacteriology, Molecular Microbiology, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.

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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