J. M. Albaum

9 papers receiving 431 citations

J. M. Albaum's Hit Papers

Estimating the prevalence of heterozygous familial hypercholesterolaemia: a systematic review and meta-analysis 2017 · 237 citations
2370+3+6Years since publication50100150200

Peers

J. M. Albaum
Comparison fields: 5 of 45
  • Orthopedics and Sports Medicine 128
  • Surgery 213
  • Endocrinology, Diabetes and Metabolism 64
  • Cancer Research 37
  • Oncology 63
Replace Debra H. Schussheim with:
Debra H. Schussheim United States
Garth Beinart United States
P Ardissone Italy
R Rapisarda Italy
Alvin C. Ng United States
A. Nielsen Denmark
Christine Muti France
Ioanna Tzavara Greece
Y. Saïdi France
William Conrad United States
J. M. Albaum relative to Debra H. Schussheim United States Debra H. Schussheim's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. M. Albaum

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Albaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Albaum. 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 J. M. Albaum. The network helps show where J. M. Albaum may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Estimating the prevalence of heterozygous familial hypercholesterolaemia: a systematic review and meta-analysis
Hit paper breakdown →
2017237
2 2015105
3 201638
4
Osteoporosis management among chronic glucocorticoid users: a systematic review.
201423
5 201519
6 20178
7 20156
8
The thyroid function in mongoloids as determined by the measurement of protein bound iodine.
19574
9 20222

About J. M. Albaum

J. M. Albaum is a scholar working on Orthopedics and Sports Medicine, Surgery, Pediatrics, Perinatology and Child Health, Pharmacology and Economics and Econometrics, having authored 9 papers that have together received 442 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (3 papers), Lipoproteins and Cardiovascular Health (1 paper), Pharmaceutical studies and practices (1 paper), Pharmaceutical Economics and Policy (1 paper) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (128 citations), Surgery (213 citations), Endocrinology, Diabetes and Metabolism (64 citations), Cancer Research (37 citations) and Oncology (63 citations). J. M. Albaum has collaborated with scholars based in Canada, Slovakia and United Kingdom. Frequent co-authors include Anna Chu, Jacques Genest, Shubham Shan, Jack V. Tu, Leo E. Akioyamen, Suzanne M. Cadarette, Linda E. Lévesque, Mina Tadrous, Mohamed Amiche and Jonathan D. Adachi. Their work appears in journals such as Osteoporosis International, BMJ Open, Clinical Orthopaedics and Related Research, The Journal of Pediatrics and CMAJ Open.

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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