Shannon J. Moore
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism 5
- Molecular Biology top 5%
- Biochemical and Molecular Research 3
- Biopolymer Synthesis and Applications 3
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- Neuroscience and Neuropharmacology Research 14
- Physiology top 5%
- Aquatic Science top 5%
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- Memory and Neural Mechanisms 5
- Neural dynamics and brain function 3
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- Neuroendocrine regulation and behavior 4
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- Stress Responses and Cortisol 3
- Co-authors
- E. J. BigwoodE. SchramWilliam H. SteinJames M. ManningGlynn WilsonPeter BlackburnGeoffrey G. MurphyNelson Spruston
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (11 papers)Neuron (3 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Shannon J. Moore
42 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Biochemistry 218
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 374
- Physiology 86
- Aquatic Science 134
Countries citing papers authored by Shannon J. Moore
This map shows the geographic impact of Shannon J. Moore'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 Shannon J. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon J. Moore more than expected).
Fields of papers citing papers by Shannon J. Moore
This network shows the impact of papers produced by Shannon J. Moore. 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 Shannon J. Moore. The network helps show where Shannon J. Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shannon J. Moore, 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 | 2023 | 20 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2020 | 13 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 25 | |
| 11 | 2016 | 13 | |
| 12 | 2015 | 39 | |
| 13 | 2015 | 34 | |
| 14 | 2013 | 1 | |
| 15 | 2013 | 38 | |
| 16 | 2012 | 153 | |
| 17 | 2009 | 27 | |
| 18 | 1977 | 243 | |
| 19 | 1969 | 153 | |
| 20 | 1953 | 11 |
About Shannon J. Moore
Shannon J. Moore is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 42 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Amino Acid Enzymes and Metabolism (5 papers), Memory and Neural Mechanisms (5 papers), Neuroendocrine regulation and behavior (4 papers), Biochemical and Molecular Research (3 papers), Biopolymer Synthesis and Applications (3 papers), Stress Responses and Cortisol (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Biochemistry (218 citations), Molecular Biology (1.6k citations) and Cellular and Molecular Neuroscience (374 citations). Shannon J. Moore has collaborated with scholars based in United States, France and Italy. Frequent co-authors include E. J. Bigwood, E. Schram, William H. Stein, James M. Manning, Glynn Wilson, Peter Blackburn, Geoffrey G. Murphy, Nelson Spruston, Austin R. Graves and William L. Kath. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.
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.