Allison Freeman

9 papers receiving 866 citations

Peers

Allison Freeman
Comparison fields: 5 of 109
  • Family Practice 130
  • Orthopedics and Sports Medicine 205
  • Geriatrics and Gerontology 63
  • Endocrinology, Diabetes and Metabolism 165
  • Rheumatology 130
Replace Masayo Sato with:
Masayo Sato Japan
Kavita Nair United States
Richard E. Scranton United States
Kathleen A. Foley United States
Jason Yeaw United States
Jackson Tang United States
Marina Skiba Australia
Narhari Timilshina Canada
Galen Cook‐Wiens United States
Ashley L. Cole United States
Allison Freeman relative to Masayo Sato Japan Masayo Sato's profile →
Citations per field
00.5×5.4×
Masayo Sato · 1×
Citations per year

Countries citing papers authored by Allison Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Allison Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2006418
2 2016192
3 2005120
4 200770
5 200655
6 200635
7 20197
8 20187
9 20151

About Allison Freeman

Allison Freeman is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine, Cardiology and Cardiovascular Medicine, Family Practice and Rheumatology, having authored 9 papers that have together received 905 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (4 papers), Adrenal Hormones and Disorders (3 papers), Blood Pressure and Hypertension Studies (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Medication Adherence and Compliance (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Urticaria and Related Conditions (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Family Practice (130 citations), Orthopedics and Sports Medicine (205 citations), Geriatrics and Gerontology (63 citations), Endocrinology, Diabetes and Metabolism (165 citations) and Rheumatology (130 citations). Allison Freeman has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Andrew O. Westfall, Jeroan J. Allison, Claire M. Spettell, Kenneth G. Saag, Jeffrey R. Curtis, Stacey H. Kovac, Varghese George, J. W. J. Bijlsma, Henry Wei and Renée J.G. Arnold. Their work appears in journals such as Journal of the American College of Cardiology, Allergy and Asthma Proceedings, Pharmacoepidemiology and Drug Safety, Journal of Palliative Medicine and Osteoporosis International.

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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