Daniel Biass

10 papers and 413 indexed citations i.

About

Daniel Biass is a scholar working on Molecular Biology, Microbiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Biass has authored 10 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Microbiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Biass’s work include Nicotinic Acetylcholine Receptors Study (10 papers), Antimicrobial Peptides and Activities (4 papers) and Ion channel regulation and function (4 papers). Daniel Biass is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (10 papers), Antimicrobial Peptides and Activities (4 papers) and Ion channel regulation and function (4 papers). Daniel Biass collaborates with scholars based in Switzerland, France and Slovenia. Daniel Biass's co-authors include Reto Stöcklin, Philippe Favreau, Sébastien Dutertre, David Piquemal, Aude Violette, Yves Terrat, Frédéric Ducancel, Jean‐Louis Menou, Adrijana Leonardi and Igor Križaj and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Chromatography A and Biochemical Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Daniel Biass i

Fields of papers citing papers by Daniel Biass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Biass

Since Specialization
Citations

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).

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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2025