David B. Neau
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Toxicology top 1%
- Bioactive Compounds and Antitumor Agents
Papers in
- Co-authors
- Gérard WeisbuchGuillaume DeffuantFrédéric AmblardMarcia E. NewcomerNathaniel C. GilbertSue G. BartlettAlan BrashWilliam E. Boeglin
- Journals
- Biochemistry (6 papers)Journal of Biological Chemistry (4 papers)Macromolecules (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Protein Science (2 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
David B. Neau
37 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Statistical and Nonlinear Physics 1.2k
- Toxicology 139
- Communication 192
- Biochemistry 151
- Pharmacology 320
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2022 | 9 | |
| 3 | 2022 | 0 | |
| 4 | 2021 | 19 | |
| 5 | 2020 | 165 | |
| 6 | 2019 | 40 | |
| 7 | 2018 | 8 | |
| 8 | 2015 | 15 | |
| 9 | 2014 | 62 | |
| 10 | 2014 | 111 | |
| 11 | 2013 | 32 | |
| 12 | 2012 | 15 | |
| 13 | 2012 | 124 | |
| 14 | 2011 | 56 | |
| 15 | 2011 | 21 | |
| 16 | 2011 | 14 | |
| 17 | 2009 | 85 | |
| 18 | 2007 | 185 | |
| 19 | 2005 | 19 | |
| 20 | 2002 | 75 |
About David B. Neau
David B. Neau is a scholar working on Toxicology, Biochemistry, Pharmacology, Immunology and Molecular Biology, having authored 38 papers that have together received 3.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Biotin and Related Studies (3 papers), S100 Proteins and Annexins (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune Cell Function and Interaction (3 papers), Microbial bioremediation and biosurfactants (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Toxicology (139 citations), Communication (192 citations), Biochemistry (151 citations) and Pharmacology (320 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, Nathaniel C. Gilbert, Sue G. Bartlett, Alan Brash, William E. Boeglin, Henry D. Bellamy and Craig W. Vander Kooi. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Macromolecules, Proteins Structure Function and Bioinformatics and Protein Science.
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.