David B. Neau
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Toxicology top 1%
Papers in
-
- Microbial Natural Products and Biosynthesis 5
- Inflammatory mediators and NSAID effects 3
-
- Immune Response and Inflammation 3
- Immune Cell Function and Interaction 3
- Co-authors
- Gérard Weisbuch (1 shared paper)Guillaume Deffuant (1 shared paper)Frédéric Amblard (1 shared paper)Marcia E. Newcomer (11 shared papers)Sue G. Bartlett (7 shared papers)Nathaniel C. Gilbert (8 shared papers)William E. Boeglin (5 shared papers)ALAN R. BRASH (5 shared papers)
- Journals
- Biochemistry (6 papers)Journal of Biological Chemistry (4 papers)Protein Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Macromolecules (2 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
David B. Neau
40 papers receiving 3.4k citations
David B. Neau's Hit Papers
Peers
Comparison fields: 5 of 160
- Statistical and Nonlinear Physics 1.4k
- Toxicology 136
- Communication 217
- Biochemistry 157
- Pharmacology 339
Countries citing papers authored by David B. Neau
This map shows the geographic impact of David B. Neau'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 David B. Neau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David B. Neau more than expected).
Fields of papers citing papers by David B. Neau
This network shows the impact of papers produced by David B. Neau. 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 David B. Neau. The network helps show where David B. Neau may publish in the future.
Co-authors
The 25 scholars most cited alongside David B. Neau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mixing beliefs among interacting agents Hit paper breakdown → | 2000 | 1527 |
| 2 | 2011 | 376 | |
| 3 | 2007 | 192 | |
| 4 | 2020 | 182 | |
| 5 | 2012 | 129 | |
| 6 | 2014 | 121 | |
| 7 | 2016 | 107 | |
| 8 | 2002 | 90 | |
| 9 | 2009 | 88 | |
| 10 | 2014 | 66 | |
| 11 | 2011 | 66 | |
| 12 | 2015 | 58 | |
| 13 | 2019 | 42 | |
| 14 | 2017 | 37 | |
| 15 | 2014 | 35 | |
| 16 | 2013 | 34 | |
| 17 | 1997 | 33 | |
| 18 | 2019 | 27 | |
| 19 | 2016 | 22 | |
| 20 | 2021 | 22 |
About David B. Neau
David B. Neau is a scholar working on Pharmacology, Immunology, Molecular Biology, Biochemistry and Cell Biology, having authored 41 papers that have together received 3.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Microbial Natural Products and Biosynthesis (5 papers), Microbial bioremediation and biosurfactants (3 papers), Inflammatory mediators and NSAID effects (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune Response and Inflammation (3 papers), Biotin and Related Studies (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Toxicology (136 citations), Communication (217 citations), Biochemistry (157 citations) and Pharmacology (339 citations). David B. Neau has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Gérard Weisbuch, Guillaume Deffuant, Frédéric Amblard, Marcia E. Newcomer, Sue G. Bartlett, Nathaniel C. Gilbert, William E. Boeglin, ALAN R. BRASH, Daniel J. Leahy and Benjamin Perman. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Protein Science, Proceedings of the National Academy of Sciences and Macromolecules.
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.