Page C. Moore

1.7k citations
60 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Page C. Moore

57 papers receiving 1.0k citations

Peers

Page C. Moore
Comparison fields: 5 of 122
  • Nephrology 305
  • Otorhinolaryngology 75
  • Critical Care and Intensive Care Medicine 85
  • Health 90
  • Oncology 200
Replace Kavitha Subramaniam with:
Kavitha Subramaniam Australia
Kang‐Hua Chen Taiwan
Dong-Hyun Kim South Korea
Jane Stafford United Kingdom
Matthias Kalder Germany
Abigail Walker United Kingdom
Connie Yang Canada
Patricia A. English United States
Kuang‐Hua Huang Taiwan
Alison Morton United Kingdom
Page C. Moore relative to Kavitha Subramaniam Australia Kavitha Subramaniam's profile →
Citations per field
00.5×10×14.2×
Kavitha Subramaniam · 1×
Citations per year

Countries citing papers authored by Page C. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Page C. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20241
4 20241
5 20241
6 20233
7 20231
8 202212
9 20220
10 202036
11 20182
12 20182
13 20171
14 20160
15 20133
16 201336
17 201216
18 201217
19
Peer Reviewed: Feasibility of an Evidence-Based Weight Loss Intervention for a Faith-Based, Rural, African American Population
201114
20 2007306

About Page C. Moore

Page C. Moore is a scholar working on Otorhinolaryngology, Genetics, Pathology and Forensic Medicine, Pharmacy and Oncology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Viral-associated cancers and disorders (12 papers), Chronic Lymphocytic Leukemia Research (8 papers), Inflammatory Bowel Disease (8 papers), HIV/AIDS drug development and treatment (6 papers), Microscopic Colitis (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Polyomavirus and related diseases (4 papers). The work is most often cited by research in Nephrology (305 citations), Otorhinolaryngology (75 citations), Critical Care and Intensive Care Medicine (85 citations), Health (90 citations) and Oncology (200 citations). Page C. Moore has collaborated with scholars based in United States, Spain and Ireland. Frequent co-authors include Didier Portilla, Catherine L. Dent, Prasad Devarajan, Eisei Noiri, Kiran K. Nagothu, Takeshi Sugaya, John L. Dornhoffer, Michael B. Gluth, Zoran Bursac and J. Rick Turner. Their work appears in journals such as Journal of Clinical Oncology, Otology & Neurotology, Blood, Rheumatology and Therapy and Digestive Diseases and Sciences.

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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