Frank Hauser

10.7k citations
73 papers · 4.3k · h-index 40

Impact in

Papers in

Frank Hauser

72 papers receiving 4.3k citations

Peers

Frank Hauser
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 2.7k
  • Insect Science 1.2k
  • Genetics 1.4k
  • Aging 80
  • Ecology, Evolution, Behavior and Systematics 677
Replace Reinhard Predel with:
Reinhard Predel Germany
Gerd Bicker Germany
Jozef Vanden Broeck Belgium
Giuseppe Cazzamali Denmark
William G. Bendena Canada
Toshiro Aigaki Japan
Angela B. Lange Canada
Mary Bownes United Kingdom
Ian Orchard Canada
Chris Shaw United Kingdom
Frank Hauser relative to Reinhard Predel Germany Reinhard Predel's profile →
Citations per field
00.5×1.5×
Reinhard Predel · 1×
Citations per year

Countries citing papers authored by Frank Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Frank Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007315
2 2006238
3 2007190
4 2011187
5 2011156
6 1993151
7 2010140
8 2010138
9 2008137
10 2005122
11 2014110
12 1997108
13 2012104
14 1993101
15 200299
16 199794
17 200592
18 199892
19 201584
20 200374

About Frank Hauser

Frank Hauser is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Insect Science and Immunology, having authored 73 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (41 papers), Insect and Arachnid Ecology and Behavior (19 papers), Insect Utilization and Effects (12 papers), Glycosylation and Glycoproteins Research (10 papers), Invertebrate Immune Response Mechanisms (10 papers), Marine Invertebrate Physiology and Ecology (9 papers), Insect Resistance and Genetics (8 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.7k citations), Insect Science (1.2k citations), Genetics (1.4k citations), Aging (80 citations) and Ecology, Evolution, Behavior and Systematics (677 citations). Frank Hauser has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Cornelis J.P. Grimmelikhuijzen, Michael P. Williamson, Giuseppe Cazzamali, Werner Hoffmann, Susanne Neupert, Reinhard Predel, Joachim Schachtner, Yoshiaki Tanaka, Leif Søndergaard and Karina K. Hansen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, PLoS ONE, Proceedings of the National Academy of Sciences and Genome Research.

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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