Shannon J. Moore

4.0k citations
42 papers · 3.2k indexed · 2 hit papers · h-index 23
Topics
Neuroscience and Neuropharmacology Research (14 papers)Amino Acid Enzymes and Metabolism (5 papers)Memory and Neural Mechanisms (5 papers)
Partner nations
United StatesFranceItaly

In The Last Decade

Shannon J. Moore

42 papers receiving 2.8k citations

Hit Papers

Amino Acid Analysis: Aqueous Dimethyl Sulfoxide As Solven...195420261978200219681954250500750

Peers

Shannon J. Moore
Comparison fields: 5 of 143
  • Molecular Biology 1.6k
  • Cellular and Molecular Neuroscience 374
  • Plant Science 338
  • Cell Biology 279
  • Genetics 222
Replace José M. Fuentes with:
José M. Fuentes Spain
Michael Schramm Israel
Shinji Ohta Japan
Noboru Yumoto Japan
Jackie R. Vandenheede Belgium
Gabriella Tedeschi Italy
Marc Müller Belgium
Yûkô Fukui Japan
Philip B. Dunham United States
Adam Antebi Germany
Shannon J. Moore relative to José M. Fuentes Spain José M. Fuentes's profile →
Citations per field
00.5×1.5×
José M. Fuentes · 1×
Citations per year

Countries citing papers authored by Shannon J. Moore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Shannon J. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon J. Moore. A scholar is included among the top collaborators of Shannon J. Moore 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 Shannon J. Moore. Shannon J. Moore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 20
2 2
3 6
4 13
5 20
6 5
7 10
8 7
9 14
10 25
11 13
12 39
13 34
14 1
15 38
16 153
17 27
18 243
19 153
20 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) and Memory and Neural Mechanisms (5 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.

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