Daniel Bernet

32 papers receiving 2.1k citations

Daniel Bernet's Hit Papers

Histopathology in fish: proposal for a protocol to assess aquatic pollution 1999 · 1.0k citations
1.0k0+9+18Years since publication2505007501000

Peers

Daniel Bernet
Comparison fields: 5 of 102
  • Health, Toxicology and Mutagenesis 1.0k
  • Aquatic Science 452
  • Physiology 171
  • Pollution 403
  • Parasitology 216
Replace Gary D. Marty with:
Gary D. Marty United States
Marsha L. Landolt United States
Richard M. Kocan United States
Wolfgang K. Vogelbein United States
Horst Taraschewski Germany
Nico J. Smit South Africa
Maurizio Manera Italy
Pauline Brousseau Canada
Roxanna Smolowitz United States
Annalisa Zaccaroni Italy
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Citations per year

Countries citing papers authored by Daniel Bernet

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bernet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Histopathology in fish: proposal for a protocol to assess aquatic pollution
Hit paper breakdown →
19991041
2 2001119
3 2007119
4 2002118
5 2010110
6 201192
7 200463
8 201760
9 199954
10 200754
11 200148
12 201744
13 200842
14 200436
15 200035
16 200725
17 200824
18 199921
19 200814
20 200912

About Daniel Bernet

Daniel Bernet is a scholar working on Nature and Landscape Conservation, Health, Toxicology and Mutagenesis, Genetics, Immunology and Ecology, having authored 32 papers that have together received 2.2k indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (12 papers), Environmental Toxicology and Ecotoxicology (10 papers), Reproductive biology and impacts on aquatic species (5 papers), Aquaculture disease management and microbiota (5 papers), Flood Risk Assessment and Management (5 papers), Parasite Biology and Host Interactions (4 papers), Myxozoan Parasites in Aquatic Species (4 papers) and Hydrology and Watershed Management Studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.0k citations), Aquatic Science (452 citations), Physiology (171 citations), Pollution (403 citations) and Parasitology (216 citations). Daniel Bernet has collaborated with scholars based in Switzerland, United States and Slovakia. Frequent co-authors include Thomas Wahli, Patricia Burkhardt‐Holm, W Meier, Heike Schmidt‐Posthaus, Helmut Segner, Bruno Gottstein, Caroline F. Frey, Marcus G. Doherr, Rolf Weingartner and Andreas Paul Zischg. Their work appears in journals such as Diseases of Aquatic Organisms, Journal of Fish Biology, Revue Scientifique et Technique de l OIE, Journal of Fish Diseases and Aquatic Sciences.

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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