Frank Hauser

10.6k citations
72 papers · 4.3k indexed · h-index 40

Impact in

Papers in

Frank Hauser

72 papers receiving 4.3k citations

Peers

Frank Hauser
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 2.8k
  • Insect Science 1.3k
  • Genetics 1.5k
  • Aging 87
  • Ecology, Evolution, Behavior and Systematics 708
Replace Reinhard Predel with:
Reinhard Predel Germany
William G. Bendena Canada
S. H. P. Maddrell United Kingdom
Giuseppe Cazzamali Denmark
Jozef Vanden Broeck Belgium
Klaus W. Beyenbach United States
Alexander W. Shingleton United States
Angela B. Lange Canada
Peter Verleyen Belgium
Shu Kondo Japan
Frank Hauser relative to Reinhard Predel Germany Reinhard Predel's profile →
Citations per field
00.5×3.7×
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-authorship network

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
#Work
1 20231
2 202216
3 201518
4 2014109
5 201354
6 201332
7 2010139
8 2007314
9 2007189
10 2006237
11 20061
12 200421
13 200299
14 200057
15 199942
16 199830
17 1997108
18 199425
19 199443
20 199037

About Frank Hauser

Frank Hauser is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Paleontology, Genetics and Immunology, having authored 72 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 Insect and Pesticide Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Insect Science (1.3k citations), Genetics (1.5k citations), Aging (87 citations) and Ecology, Evolution, Behavior and Systematics (708 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, Reinhard Predel, Susanne Neupert, 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 Peptides.

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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