Rema Moore

16 papers receiving 361 citations

Peers

Rema Moore
Comparison fields: 5 of 73
  • Pharmacology 186
  • Biological Psychiatry 23
  • Endocrinology, Diabetes and Metabolism 78
  • Physiology 93
  • Endocrine and Autonomic Systems 21
Replace Cristiane Signor with:
Cristiane Signor Brazil
Maha M. ElBatsh Egypt
Neide Hyppolito Jurkiewicz Brazil
Akram Sadeghi Iran
Siamak Afshin‐Majd Iran
Ya Miao China
Angelo Mancinelli Italy
Morteza Samini Iran
Ross E. Crabtree United States
Fuchun Wang China
Rema Moore relative to Cristiane Signor Brazil Cristiane Signor's profile →
Citations per field
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Cristiane Signor · 1×
Citations per year

Countries citing papers authored by Rema Moore

Since Specialization
Citations

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

Fields of papers citing papers by Rema Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rema 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 Rema Moore Line = papers co-authored together Rema Moore links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200660
2 200152
3 200345
4 200241
5 197538
6 200334
7
The pharmacology and clinical pharmacology of indapamide.
198133
8 202031
9 197728
10 200219
11 200210
12 19769
13 20158
14
Variation in the placebo effect: The impact on individual trials and consequences for meta-analysis
19972
15
Diet and hypertension
20131
16 20091

About Rema Moore

Rema Moore is a scholar working on Pharmacology, Physiology, Biochemistry, Surgery and Molecular Biology, having authored 16 papers that have together received 412 indexed citations. Recurring topics across this work include Pharmacology and Obesity Treatment (8 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Pain Mechanisms and Treatments (2 papers), Pharmaceutical studies and practices (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Pharmacology (186 citations), Biological Psychiatry (23 citations), Endocrinology, Diabetes and Metabolism (78 citations), Physiology (93 citations) and Endocrine and Autonomic Systems (21 citations). Rema Moore has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Jianguo Zhi, Thomas E. Mulligan, L Finch, David B. Campbell, Robin E. Buckingham, Roberto Guerciolini, Mark Boldrin, Tamara Bucher, Peter E. Hicks and A. Hamann. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Pharmacy and Pharmacology, Journal of the American College of Nutrition, European Journal of Pain and The Journal of Clinical Psychiatry.

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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