John A. Eisman
Impact in
- Orthopedics and Sports Medicine top 0.01%
- Bone health and osteoporosis research
- Pathology and Forensic Medicine top 0.05%
- Vitamin D Research Studies
Papers in
-
- Bone health and osteoporosis research 340
-
- Vitamin D Research Studies 114
- Co-authors
- Tuan V. Nguyen (152 shared papers)Philip N. Sambrook (74 shared papers)Paul J. Kelly (39 shared papers)NICHOLAS A. POCOCK (40 shared papers)Nguyen D Nguyen (33 shared papers)Nigel A. Morrison (34 shared papers)Dana Bliuc (33 shared papers)Graeme Jones (14 shared papers)
- Journals
- Journal of Bone and Mineral Research (98 papers)Osteoporosis International (62 papers)Bone (28 papers)The Journal of Clinical Endocrinology & Metabolism (25 papers)The Medical Journal of Australia (16 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
John A. Eisman
523 papers receiving 47.8k citations
John A. Eisman's Hit Papers
Peers
Comparison fields: 5 of 192
- Orthopedics and Sports Medicine 29.9k
- Pathology and Forensic Medicine 8.4k
- Nephrology 1.6k
- Physical Therapy, Sports Therapy and Rehabilitation 668
- Rheumatology 1.4k
Countries citing papers authored by John A. Eisman
This map shows the geographic impact of John A. Eisman'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 John A. Eisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Eisman more than expected).
Fields of papers citing papers by John A. Eisman
This network shows the impact of papers produced by John A. Eisman. 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 John A. Eisman. The network helps show where John A. Eisman may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Eisman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 533 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of bone density from vitamin D receptor alleles Hit paper breakdown → | 1994 | 1686 |
| 2 | Mortality after all major types of osteoporotic fracture in men and women: an observational study Hit paper breakdown → | 1999 | 1599 |
| 3 | Body mass index as a predictor of fracture risk: A meta-analysis Hit paper breakdown → | 2005 | 1309 |
| 4 | Global vitamin D status and determinants of hypovitaminosis D Hit paper breakdown → | 2009 | 1233 |
| 5 | Predictive Value of BMD for Hip and Other Fractures Hit paper breakdown → | 2005 | 1213 |
| 6 | Genetic determinants of bone mass in adults. A twin study. Hit paper breakdown → | 1987 | 1084 |
| 7 | A meta-analysis of previous fracture and subsequent fracture risk Hit paper breakdown → | 2004 | 1040 |
| 8 | The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women Hit paper breakdown → | 2007 | 1016 |
| 9 | Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture Hit paper breakdown → | 2012 | 1013 |
| 10 | Smoking and fracture risk: a meta-analysis Hit paper breakdown → | 2004 | 806 |
| 11 | Intestinal Calcium Absorption and Serum Vitamin D Metabolites in Normal Subjects and Osteoporotic Patients Hit paper breakdown → | 1979 | 752 |
| 12 | A Meta-Analysis of Prior Corticosteroid Use and Fracture Risk Hit paper breakdown → | 2004 | 663 |
| 13 | Multiple Genetic Loci for Bone Mineral Density and Fractures Hit paper breakdown → | 2008 | 549 |
| 14 | Risk of Subsequent Fracture After Low-Trauma Fracture in Men and Women Hit paper breakdown → | 2007 | 540 |
| 15 | Contribution of trans-acting factor alleles to normal physiological variability: vitamin D receptor gene polymorphism and circulating osteocalcin. Hit paper breakdown → | 1992 | 528 |
| 16 | 1993 | 516 | |
| 17 | A sensitive, precise, and convenient method for determination of 1,25-dihydroxyvitamin D in human plasma Hit paper breakdown → | 1976 | 482 |
| 18 | 2004 | 482 | |
| 19 | Whole‐genome sequencing identifies EN1 as a determinant of bone density and fracture Hit paper breakdown → | 2015 | 465 |
| 20 | 1993 | 434 |
About John A. Eisman
John A. Eisman is a scholar working on Orthopedics and Sports Medicine, Pathology and Forensic Medicine, Nephrology, Molecular Biology and Rheumatology, having authored 533 papers that have together received 50.9k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (340 papers), Vitamin D Research Studies (114 papers), Bone Metabolism and Diseases (38 papers), Parathyroid Disorders and Treatments (21 papers), Hip and Femur Fractures (13 papers), Genetic Associations and Epidemiology (10 papers), Genomics and Chromatin Dynamics (8 papers) and Bariatric Surgery and Outcomes (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (29.9k citations), Pathology and Forensic Medicine (8.4k citations), Nephrology (1.6k citations), Physical Therapy, Sports Therapy and Rehabilitation (668 citations) and Rheumatology (1.4k citations). John A. Eisman has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Tuan V. Nguyen, Philip N. Sambrook, Paul J. Kelly, NICHOLAS A. POCOCK, Nguyen D Nguyen, Nigel A. Morrison, Dana Bliuc, Graeme Jones, Anders Odén and Chris E. D. H. De Laet. Their work appears in journals such as Journal of Bone and Mineral Research, Osteoporosis International, Bone, The Journal of Clinical Endocrinology & Metabolism and The Medical Journal of Australia.
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.