Gerhard Kauer

2.1k citations
15 papers · 191 · h-index 9

Impact in

Papers in

    • Genomics and Phylogenetic Studies 4
    • RNA and protein synthesis mechanisms 3
    • Machine Learning in Bioinformatics 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Diatoms and Algae Research 6

Gerhard Kauer

15 papers receiving 188 citations

Peers

Gerhard Kauer
Comparison fields: 5 of 55
  • Biomaterials 72
  • Oceanography 39
  • Ecology 45
  • Ecological Modeling 6
  • Molecular Biology 96
Replace Michael Kloster with:
Michael Kloster Germany
Anne‐Sophie Benoiston France
Daryl W. Lam United States
Gabriele Costa Italy
Sinziana F. Rivera France
Hiromi Tsubota Japan
Sam De Decker Belgium
François-Yves Bouget France
Charlotte E. Walker United Kingdom
Zhicai She China
Gerhard Kauer relative to Michael Kloster Germany Michael Kloster's profile →
Citations per field
00.5×3.3×
Michael Kloster · 1×
Citations per year

Countries citing papers authored by Gerhard Kauer

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Kauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201444
2 200321
3 199121
4 201720
5 201815
6 201811
7 200611
8 20189
9 20198
10 20058
11 19907
12 20196
13 20084
14 20174
15 20042

About Gerhard Kauer

Gerhard Kauer is a scholar working on Molecular Biology, Biomaterials, Oceanography, Atmospheric Science and Biophysics, having authored 15 papers that have together received 191 indexed citations. Recurring topics across this work include Diatoms and Algae Research (6 papers), Genomics and Phylogenetic Studies (4 papers), Marine and coastal ecosystems (3 papers), RNA and protein synthesis mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers), Cell Image Analysis Techniques (2 papers), Geology and Paleoclimatology Research (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Biomaterials (72 citations), Oceanography (39 citations), Ecology (45 citations), Ecological Modeling (6 citations) and Molecular Biology (96 citations). Gerhard Kauer has collaborated with scholars based in Germany, Spain and Australia. Frequent co-authors include Bánk Beszteri, Michael Kloster, Helmut Blöcker, Oliver Esper, M. Rahat, Erich Kessler, Igor V. Deyneko, Alexander Kel, Donat‐P. Häder and Andrés S. Rigual‐Hernández. Their work appears in journals such as Bioinformatics, Electrophoresis, Applied Sciences, Polar Biology and BMC Bioinformatics.

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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