David J. Barber
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Cognitive Neuroscience top 10%
- Nutrition and Dietetics top 10%
- Co-authors
- Steven J. CooperPhilip TerryRajeev I. DesaiJonathan LeeCharlotte R. FlavellAlison CooperIan MitchellColin T. Dourish
- Topics
- Neurotransmitter Receptor Influence on Behavior (11 papers)Neuroscience and Neuropharmacology Research (7 papers)Biochemical Analysis and Sensing Techniques (6 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBrain Research
- Partner nations
- United KingdomUnited States
In The Last Decade
David J. Barber
32 papers receiving 749 citations
Peers
Comparison fields: 5 of 81
- Cellular and Molecular Neuroscience 446
- Molecular Biology 245
- Endocrine and Autonomic Systems 148
- Cognitive Neuroscience 140
- Nutrition and Dietetics 120
Countries citing papers authored by David J. Barber
This map shows the geographic impact of David J. 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 J. 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 J. Barber more than expected).
Fields of papers citing papers by David J. Barber
This network shows the impact of papers produced by David J. 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 J. Barber. The network helps show where David J. Barber may publish in the future.
Co-authorship network of co-authors of David J. Barber
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Barber. A scholar is included among the top collaborators of David J. Barber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Barber. David J. Barber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 33 | |
| 3 | 52 | |
| 4 | 29 | |
| 5 | 18 | |
| 6 | 15 | |
| 7 | 39 | |
| 8 | 56 | |
| 9 | 9 | |
| 10 | 8 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 22 | |
| 16 | 51 | |
| 17 | 18 | |
| 18 | 24 | |
| 19 | 24 | |
| 20 | Relationship Between Dark Rims, Interchondrule Matrix, and Chondrules in U. O. C.s | 2 |
About David J. Barber
David J. Barber is a scholar working on Cellular and Molecular Neuroscience, Issues, ethics and legal aspects and Endocrine and Autonomic Systems, having authored 33 papers that have together received 773 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (11 papers), Neuroscience and Neuropharmacology Research (7 papers) and Biochemical Analysis and Sensing Techniques (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (446 citations), Endocrine and Autonomic Systems (148 citations) and Behavioral Neuroscience (68 citations). David J. Barber has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Steven J. Cooper, Philip Terry, Rajeev I. Desai, Jonathan Lee, Charlotte R. Flavell, Alison Cooper, Ian Mitchell, Colin T. Dourish, Suzanne Higgs and Alice A. Horton. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Brain Research.
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.