Joseph Barbieri

9.7k citations
175 papers · 7.6k · h-index 51

Impact in

Papers in

    • Biochemical and Structural Characterization 19
    • Bacterial biofilms and quorum sensing 19
    • Toxin Mechanisms and Immunotoxins 57

Joseph Barbieri

172 papers receiving 7.4k citations

Peers

Joseph Barbieri
Comparison fields: 5 of 119
  • Endocrinology 1.3k
  • Molecular Medicine 1.1k
  • Neurology 1.8k
  • Microbiology 584
  • Immunology 1.8k
Replace Patrice Boquet with:
Patrice Boquet France
Samantha Gruenheid Canada
D Bitter-Suermann Germany
Jeffery S. Cox United States
María Isabel Colombo Argentina
Jukka Finne Finland
Nicole N. van der Wel Netherlands
Gudula Schmidt Germany
Olivia Steele‐Mortimer United States
Dara W. Frank United States
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Citations per field
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Citations per year

Countries citing papers authored by Joseph Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998355
2 1989256
3 1999238
4 2004194
5 2005182
6 2014160
7 2008135
8 2000133
9 1999131
10 2002130
11 2003130
12 1995129
13 1999127
14 2009117
15 1999116
16 1996108
17 200799
18 199898
19 200795
20 200995

About Joseph Barbieri

Joseph Barbieri is a scholar working on Molecular Biology, Immunology, Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 175 papers that have together received 7.6k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (57 papers), Botulinum Toxin and Related Neurological Disorders (57 papers), Bacterial Genetics and Biotechnology (41 papers), Neurological disorders and treatments (40 papers), Hereditary Neurological Disorders (36 papers), Cellular transport and secretion (23 papers), Biochemical and Structural Characterization (19 papers) and Bacterial biofilms and quorum sensing (19 papers). The work is most often cited by research in Endocrinology (1.3k citations), Molecular Medicine (1.1k citations), Neurology (1.8k citations), Microbiology (584 citations) and Immunology (1.8k citations). Joseph Barbieri has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include Klaus Aktories, Dara W. Frank, Michael R. Baldwin, Jianjun Sun, Kristin J. Pederson, Timothy L. Yahr, Sheng Chen, Amy J. Vallis, Qing Deng and R. John Collier. Their work appears in journals such as Infection and Immunity, Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences and Molecular Microbiology.

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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