Daniel Biass
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
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- Nicotinic Acetylcholine Receptors Study
- Chemical Synthesis and Analysis
- Receptor Mechanisms and Signaling
- Ion channel regulation and function
Papers in ⓘ
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- Nicotinic Acetylcholine Receptors Study 10
- Ion channel regulation and function 4
- Receptor Mechanisms and Signaling 3
- Chemical Synthesis and Analysis 3
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- Antimicrobial Peptides and Activities 4
- Co-authors
- Reto Stöcklin (10 shared papers)Philippe Favreau (9 shared papers)Sébastien Dutertre (5 shared papers)David Piquemal (3 shared papers)Aude Violette (4 shared papers)Frédéric Ducancel (2 shared papers)Yves Terrat (2 shared papers)Robin E. Offord (1 shared paper)
- Journals
- Journal of Proteome Research (2 papers)Journal of Proteomics (2 papers)Toxicon (2 papers)Marine Drugs (1 paper)Biochemical Pharmacology (1 paper)
- Partner nations
- SwitzerlandFranceSlovenia
In The Last Decade
Daniel Biass
10 papers receiving 416 citations
Peers
Comparison fields: 5 of 49
- Microbiology 57
- Molecular Biology 354
- Paleontology 36
- Genetics 97
- Insect Science 30
Countries citing papers authored by Daniel Biass
This map shows the geographic impact of Daniel Biass'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 Biass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Biass more than expected).
Fields of papers citing papers by Daniel Biass
This network shows the impact of papers produced by Daniel Biass. 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 Biass. The network helps show where Daniel Biass may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Biass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 71 | |
| 2 | 2009 | 67 | |
| 3 | 2012 | 66 | |
| 4 | 2010 | 61 | |
| 5 | 2012 | 43 | |
| 6 | 2013 | 30 | |
| 7 | 2012 | 28 | |
| 8 | 2012 | 25 | |
| 9 | 2014 | 17 | |
| 10 | 2014 | 16 |
About Daniel Biass
Daniel Biass is a scholar working on Molecular Biology, Microbiology, Cellular and Molecular Neuroscience, Spectroscopy and Genetics, having authored 10 papers that have together received 424 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (10 papers), Ion channel regulation and function (4 papers), Antimicrobial Peptides and Activities (4 papers), Receptor Mechanisms and Signaling (3 papers), Chemical Synthesis and Analysis (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Venomous Animal Envenomation and Studies (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Microbiology (57 citations), Molecular Biology (354 citations), Paleontology (36 citations), Genetics (97 citations) and Insect Science (30 citations). Daniel Biass has collaborated with scholars based in Switzerland, France and Slovenia. Frequent co-authors include Reto Stöcklin, Philippe Favreau, Sébastien Dutertre, David Piquemal, Aude Violette, Frédéric Ducancel, Yves Terrat, Robin E. Offord, Adrijana Leonardi and Jean‐Louis Menou. Their work appears in journals such as Journal of Proteome Research, Journal of Proteomics, Toxicon, Marine Drugs and Biochemical Pharmacology.
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.