Rebecca S. Moore
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 11
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin 3
- Water Science and Technology top 10%
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 7
- Clostridium difficile and Clostridium perfringens research 3
-
- Sodium Intake and Health 3
-
- CRISPR and Genetic Engineering 6
- Gut microbiota and health 3
-
- Animal Disease Management and Epidemiology 3
- Co-authors
- Coleen T. MurphyRachel KaletskyLawrence S. SturmanD. H. TaylorMichael M. ReddyZemer GitaiLance ParsonsG. Wolfgang Fuhs
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Rebecca S. Moore
31 papers receiving 877 citations
Peers
Comparison fields: 5 of 123
- Aging 236
- Endocrine and Autonomic Systems 78
- Water Science and Technology 142
- Infectious Diseases 125
- Nutrition and Dietetics 76
Countries citing papers authored by Rebecca S. Moore
This map shows the geographic impact of Rebecca S. 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 Rebecca S. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca S. Moore more than expected).
Fields of papers citing papers by Rebecca S. Moore
This network shows the impact of papers produced by Rebecca S. 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 Rebecca S. Moore. The network helps show where Rebecca S. Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rebecca S. 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 16 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 0 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 47 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 140 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 2 | |
| 15 | 2010 | 6 | |
| 16 | 2008 | 65 | |
| 17 | 2007 | 92 | |
| 18 | 1995 | 2 | |
| 19 | Renal and metabolic effects of glucagon in the fetus. | 1992 | 2 |
| 20 | 1985 | 25 |
About Rebecca S. Moore
Rebecca S. Moore is a scholar working on Aging, Medical Laboratory Technology, Endocrine and Autonomic Systems, Infectious Diseases and Obstetrics and Gynecology, having authored 34 papers that have together received 924 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (11 papers), Viral gastroenteritis research and epidemiology (7 papers), CRISPR and Genetic Engineering (6 papers), Sodium Intake and Health (3 papers), Circadian rhythm and melatonin (3 papers), Animal Disease Management and Epidemiology (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Aging (236 citations), Endocrine and Autonomic Systems (78 citations), Water Science and Technology (142 citations), Infectious Diseases (125 citations) and Nutrition and Dietetics (76 citations). Rebecca S. Moore has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Coleen T. Murphy, Rachel Kaletsky, Lawrence S. Sturman, D. H. Taylor, Michael M. Reddy, Zemer Gitai, Lance Parsons, G. Wolfgang Fuhs, Niu Tian and R. Davis Manning. Their work appears in journals such as Applied and Environmental Microbiology, eLife, Cell, Microbial Ecology and Cell Genomics.
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.