Dianne M. Camp
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Social Psychology top 5%
- Cognitive Neuroscience top 10%
- Behavioral Neuroscience top 2%
- Co-authors
- Terry E. RobinsonPamela E. PaulsonDavid A. LoefflerDonita L. RobinsonJill B. BeckerKaitlin E. BrowmanStephanie B. ConantPeter A. LeWitt
- Topics
- Neurotransmitter Receptor Influence on Behavior (15 papers)Neuroscience and Neuropharmacology Research (8 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)
- Journals
- Brain ResearchJournal of NeurochemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesCanada
In The Last Decade
Dianne M. Camp
32 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 478
- Social Psychology 295
- Cognitive Neuroscience 251
- Behavioral Neuroscience 236
Countries citing papers authored by Dianne M. Camp
This map shows the geographic impact of Dianne M. Camp'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 Dianne M. Camp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianne M. Camp more than expected).
Fields of papers citing papers by Dianne M. Camp
This network shows the impact of papers produced by Dianne M. Camp. 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 Dianne M. Camp. The network helps show where Dianne M. Camp may publish in the future.
Co-authorship network of co-authors of Dianne M. Camp
This figure shows the co-authorship network connecting the top 25 collaborators of Dianne M. Camp. A scholar is included among the top collaborators of Dianne M. Camp 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 Dianne M. Camp. Dianne M. Camp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 59 | |
| 3 | 114 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 27 | |
| 7 | 16 | |
| 8 | 15 | |
| 9 | 48 | |
| 10 | 8 | |
| 11 | 12 | |
| 12 | 40 | |
| 13 | 126 | |
| 14 | 35 | |
| 15 | 33 | |
| 16 | 54 | |
| 17 | 343 | |
| 18 | 42 | |
| 19 | 57 | |
| 20 | 98 |
About Dianne M. Camp
Dianne M. Camp is a scholar working on Microbiology, Cellular and Molecular Neuroscience and Neurology, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (15 papers), Neuroscience and Neuropharmacology Research (8 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Behavioral Neuroscience (236 citations), Microbiology (49 citations) and Cellular and Molecular Neuroscience (1.1k citations). Dianne M. Camp has collaborated with scholars based in United States and Canada. Frequent co-authors include Terry E. Robinson, Pamela E. Paulson, David A. Loeffler, Donita L. Robinson, Jill B. Becker, Kaitlin E. Browman, Stephanie B. Conant, Peter A. LeWitt, Aldo Badiani and David A. Bennett. Their work appears in journals such as Brain Research, Journal of Neurochemistry and Journal of Pharmacology and Experimental Therapeutics.
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.