David S. Barber
Impact in
- Health, Toxicology and Mutagenesis top 0.5%
- Environmental Toxicology and Ecotoxicology
- Heavy Metal Exposure and Toxicity
- Mercury impact and mitigation studies
- Physiology top 1%
- Reproductive biology and impacts on aquatic species
Papers in
- Physiology 14
- Reproductive biology and impacts on aquatic species 14
-
- Environmental Toxicology and Ecotoxicology 13
- Heavy Metal Exposure and Toxicity 8
- Co-authors
- Richard M. LoPachinRobert J. GriffittTerrence GavinNancy D. DenslowJie GaoJean‐Claude J. BonzongoJing LuoKevin Powers
- Journals
- Toxicological Sciences (9 papers)Aquatic Toxicology (8 papers)NeuroToxicology (7 papers)Chemical Research in Toxicology (3 papers)Journal of Neurochemistry (3 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
David S. Barber
66 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Health, Toxicology and Mutagenesis 1.3k
- Physiology 241
- Pollution 554
- Biochemistry 224
- Materials Chemistry 1.4k
Countries citing papers authored by David S. Barber
This map shows the geographic impact of David S. Barber'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 S. Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Barber more than expected).
Fields of papers citing papers by David S. Barber
This network shows the impact of papers produced by David S. Barber. 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 S. Barber. The network helps show where David S. Barber may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Barber, 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 | 2020 | 6 | |
| 2 | 2016 | 29 | |
| 3 | 2016 | 18 | |
| 4 | 2013 | 66 | |
| 5 | 2012 | 134 | |
| 6 | 2012 | 24 | |
| 7 | 2012 | 33 | |
| 8 | 2011 | 29 | |
| 9 | 2011 | 42 | |
| 10 | 2010 | 28 | |
| 11 | 2010 | 32 | |
| 12 | 2010 | 41 | |
| 13 | 2010 | 30 | |
| 14 | 2009 | 74 | |
| 15 | 2006 | 70 | |
| 16 | 2006 | 20 | |
| 17 | 2005 | 20 | |
| 18 | 2003 | 22 | |
| 19 | 2003 | 2 | |
| 20 | 2001 | 5 |
About David S. Barber
David S. Barber is a scholar working on Physiology, Health, Toxicology and Mutagenesis, Biochemistry, Pollution and Aquatic Science, having authored 66 papers that have together received 4.6k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (14 papers), Environmental Toxicology and Ecotoxicology (13 papers), Nanoparticles: synthesis and applications (9 papers), Potato Plant Research (9 papers), Heavy Metal Exposure and Toxicity (8 papers), Sulfur Compounds in Biology (6 papers), Pesticide Exposure and Toxicity (5 papers) and Carcinogens and Genotoxicity Assessment (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Physiology (241 citations), Pollution (554 citations), Biochemistry (224 citations) and Materials Chemistry (1.4k citations). David S. Barber has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Richard M. LoPachin, Robert J. Griffitt, Terrence Gavin, Nancy D. Denslow, Jie Gao, Jean‐Claude J. Bonzongo, Jing Luo, Kevin Powers, Roxana Weil and Kelly A. Hyndman. Their work appears in journals such as Toxicological Sciences, Aquatic Toxicology, NeuroToxicology, Chemical Research in Toxicology and Journal of Neurochemistry.
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.