Stephen E. Moore

3.8k citations
43 papers · 3.9k · h-index 31

Impact in

Papers in

Stephen E. Moore

43 papers receiving 3.7k citations

Peers

Stephen E. Moore
Comparison fields: 5 of 92
  • Immunology and Allergy 679
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 233
  • Sensory Systems 158
  • Molecular Biology 1.4k
Replace S. Carbonetto with:
S. Carbonetto Canada
Dale D. Hunter United States
Peter M. Tapley United States
Fritz G. Rathjen Germany
Marie‐Rose Hirsch France
Alistair N. Garratt Germany
Gisela Weskamp United States
Andrew J. Furley United Kingdom
Toshitaka Oohashi Japan
Hiroyuki Kamiguchi Japan
Stephen E. Moore relative to S. Carbonetto Canada S. Carbonetto's profile →
Citations per field
00.5×2×4×6×7×
S. Carbonetto · 1×
Citations per year

Countries citing papers authored by Stephen E. Moore

Since Specialization
Citations

This map shows the geographic impact of Stephen E. 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 Stephen E. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen E. Moore more than expected).

Fields of papers citing papers by Stephen E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. 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 Stephen E. Moore. The network helps show where Stephen E. Moore may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen E. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen E. Moore Line = papers co-authored together Stephen E. Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000483
2 2000367
3 1991361
4 1988220
5 1987203
6 1991165
7 2001159
8 2005147
9 1998137
10 1990129
11 1987117
12 1996112
13 198592
14 198988
15 200183
16 198781
17 199074
18 198971
19 200169
20 200869

About Stephen E. Moore

Stephen E. Moore is a scholar working on Immunology and Allergy, Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (15 papers), Muscle Physiology and Disorders (13 papers), Axon Guidance and Neuronal Signaling (6 papers), Glycosylation and Glycoproteins Research (4 papers), Nerve injury and regeneration (3 papers), Ion channel regulation and function (3 papers), Lipid Membrane Structure and Behavior (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Immunology and Allergy (679 citations), Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (233 citations), Sensory Systems (158 citations) and Molecular Biology (1.4k citations). Stephen E. Moore has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Frank S. Walsh, Patrick Doherty, C. Howard Barton, George Dickson, Sandra V. Ashton, Rabinder K. Prinjha, Hilary J. Gower, David Ll. Simmons, Mary Vinson and Joanne Thompson. Their work appears in journals such as Journal of Neurochemistry, Development, Journal of Neuroimmunology, Cell and Journal of Biological Chemistry.

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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