Emma E. Moore

2.8k citations
37 papers · 1.8k · h-index 21

Impact in

Papers in

Emma E. Moore

37 papers receiving 1.7k citations

Peers

Emma E. Moore
Comparison fields: 5 of 132
  • Rheumatology 326
  • Cellular and Molecular Neuroscience 224
  • Molecular Biology 810
  • Urology 60
  • Emergency Medicine 66
Replace Satoru Yamazaki with:
Satoru Yamazaki Japan
Roland Baron United States
Laurie H. Seaver United States
Charles A. Lambert Belgium
Lisa Hoffman Canada
Lea Rath‐Wolfson Israel
Harold Kalter United States
Suzanne Cheng United States
Naoko Irie United Kingdom
Megumi Hashimoto Japan
Emma E. Moore relative to Satoru Yamazaki Japan Satoru Yamazaki's profile →
Citations per field
00.5×2×3.5×
Satoru Yamazaki · 1×
Citations per year

Countries citing papers authored by Emma E. Moore

Since Specialization
Citations

This map shows the geographic impact of Emma 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 Emma 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 Emma E. Moore more than expected).

Fields of papers citing papers by Emma E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emma 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 Emma E. Moore Line = papers co-authored together Emma 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005309
2 2002175
3
Organ injury scaling. IV: Thoracic vascular, lung, cardiac, and diaphragm.
1994146
4 1980121
5 1979102
6 200997
7 199594
8 199587
9
Synteny between glycinamide ribonucleotide synthetase and superoxide dismutase (soluble).
197776
10 199869
11 198763
12 199958
13 199657
14 200247
15 199543
16 198231
17 199330
18 197927
19 201225
20 200025

About Emma E. Moore

Emma E. Moore is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Genetics, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Cancer-related Molecular Pathways (4 papers), Receptor Mechanisms and Signaling (4 papers), Hormonal Regulation and Hypertension (3 papers), Fibroblast Growth Factor Research (3 papers), Signaling Pathways in Disease (3 papers), Virus-based gene therapy research (3 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Rheumatology (326 citations), Cellular and Molecular Neuroscience (224 citations), Molecular Biology (810 citations), Urology (60 citations) and Emergency Medicine (66 citations). Emma E. Moore has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Deborah Thompson, Rolf E. Kuestner, Mary C. Weiss, Steven D. Stroop, Jeff L. Ellsworth, Kimberly S. Waggie, Jean Deschatrette, Alison M. Bendele, Brendan Michael Reardon and C. Jones. Their work appears in journals such as Journal of Cellular Physiology, Journal of Bone and Mineral Research, Osteoarthritis and Cartilage, Developmental Biology and Molecular Endocrinology.

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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