Andrew J. Burghardt

9.5k total citations · 2 hit papers
129 papers, 7.4k citations indexed

About

Andrew J. Burghardt is a scholar working on Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Andrew J. Burghardt has authored 129 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Orthopedics and Sports Medicine, 48 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Surgery. Recurrent topics in Andrew J. Burghardt's work include Bone health and osteoporosis research (76 papers), Medical Imaging Techniques and Applications (39 papers) and Bone and Joint Diseases (34 papers). Andrew J. Burghardt is often cited by papers focused on Bone health and osteoporosis research (76 papers), Medical Imaging Techniques and Applications (39 papers) and Bone and Joint Diseases (34 papers). Andrew J. Burghardt collaborates with scholars based in United States, Canada and Germany. Andrew J. Burghardt's co-authors include Sharmila Majumdar, Thomas M. Link, Galateia J. Kazakia, Thomas M. Link, Ann V. Schwartz, Miki Sode, Steven K. Boyd, Andres Laib, Ahi Sema Issever and Janina Patsch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Andrew J. Burghardt

126 papers receiving 7.3k citations

Hit Papers

Increased cortical porosity in type 2 diabetic postmenopa... 2012 2026 2016 2021 2012 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Increased cortical porosity in type 2 diabetic postmenopausal women with fragility fractures
    2012 343 citations Andrew J. Burghardt, Ann V. Schwartz et al. Journal of Bone and Mineral Research profile →
  2. Guidelines for the assessment of bone density and microarchitecture in vivo using high-resolution peripheral quantitative computed tomography
    2020 243 citations Steven K. Boyd, Andrew J. Burghardt et al. Osteoporosis International profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew J. Burghardt United States 45 4.2k 1.8k 1.8k 1.3k 1.2k 129 7.4k
Stéphanie Boutroy France 43 4.7k 1.1× 2.0k 1.1× 1.1k 0.6× 734 0.6× 1.6k 1.3× 91 6.9k
Claus‐Christian Glüer Germany 46 4.1k 1.0× 2.2k 1.2× 832 0.5× 1.1k 0.9× 835 0.7× 138 7.7k
Jeffry S. Nyman United States 48 2.2k 0.5× 1.3k 0.7× 1.5k 0.8× 815 0.6× 832 0.7× 165 5.8k
X. Sherry Liu United States 45 2.9k 0.7× 1.3k 0.7× 1.4k 0.8× 458 0.4× 1.0k 0.8× 99 5.3k
M. Jergas United States 33 4.3k 1.0× 2.0k 1.1× 810 0.5× 841 0.6× 1.0k 0.8× 68 6.1k
Klaus Engelke Germany 64 6.6k 1.6× 3.4k 1.9× 2.0k 1.1× 1.9k 1.4× 1.6k 1.3× 298 12.8k
S. Grampp Austria 31 3.2k 0.8× 1.3k 0.7× 617 0.3× 824 0.6× 916 0.7× 91 4.7k
Deepak Vashishth United States 49 3.9k 0.9× 1.8k 1.0× 2.0k 1.1× 166 0.1× 1.0k 0.8× 134 7.0k
Marie-Hélène Lafage–Proust France 44 2.2k 0.5× 706 0.4× 1.8k 1.0× 247 0.2× 876 0.7× 145 6.1k
G. Delling Germany 38 1.6k 0.4× 1.9k 1.0× 2.2k 1.2× 495 0.4× 2.0k 1.6× 155 8.4k

Countries citing papers authored by Andrew J. Burghardt

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Burghardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew J. Burghardt

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Burghardt. A scholar is included among the top collaborators of Andrew J. Burghardt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew J. Burghardt. Andrew J. Burghardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kirk, Ben, Stéphanie Harrison, Jesse Zanker, et al.. (2025). Interactions between bone density and muscle mass in predicting all-cause mortality: a 10-year prospective cohort study of 1388 older men (aged 77–101 years). Age and Ageing. 54(7). 3 indexed citations
2.
Stok, Kathryn S., Andrew J. Burghardt, Jared Vicory, et al.. (2024). ORMIR_XCT: A Python package for high resolutionperipheral quantitative computed tomography image processing. The Journal of Open Source Software. 9(97). 6084–6084. 2 indexed citations
3.
Burghardt, Andrew J., et al.. (2024). HR-pQCT cross-calibration using standard vs. Laplace-Hamming binarization approach. JBMR Plus. 8(10). ziae116–ziae116. 2 indexed citations
4.
Kirk, Ben, Stéphanie Harrison, Jesse Zanker, et al.. (2023). Interactions Between HR‐pQCT Bone Density and D 3 Cr Muscle Mass (or HR‐pQCT Bone Structure and HR‐pQCT Muscle Density) in Predicting Fractures: The Osteoporotic Fractures in Men Study. Journal of Bone and Mineral Research. 38(9). 1245–1257. 9 indexed citations
5.
Gabel, Leigh, Kyla Kent, Andrew J. Burghardt, et al.. (2023). Recommendations for High-resolution Peripheral Quantitative Computed Tomography Assessment of Bone Density, Microarchitecture, and Strength in Pediatric Populations. Current Osteoporosis Reports. 21(5). 609–623. 7 indexed citations
6.
Gregory, Naina Sinha, Andrew J. Burghardt, Jye‐Yu C. Backlund, et al.. (2023). Diabetes Risk Factors and Bone Microarchitecture as Assessed by High-Resolution Peripheral Quantitative Computed Tomography in Adults With Long-standing Type 1 Diabetes. Diabetes Care. 47(9). 1548–1558. 9 indexed citations
7.
Finzel, Stephanie, Sarah L. Manske, Cheryl Barnabé, et al.. (2020). Reliability and Change in Erosion Measurements by High-resolution Peripheral Quantitative Computed Tomography in a Longitudinal Dataset of Rheumatoid Arthritis Patients. The Journal of Rheumatology. 48(3). 348–351. 6 indexed citations
8.
Tse, Justin J., Kresten Krarup Keller, Cheryl Barnabé, et al.. (2020). High-Resolution Peripheral Quantitative Computed Tomography for Bone Evaluation in Inflammatory Rheumatic Disease. Frontiers in Medicine. 7. 337–337. 37 indexed citations
9.
Mikolajewicz, Nicholas, Nick Bishop, Andrew J. Burghardt, et al.. (2019). HR-pQCT Measures of Bone Microarchitecture Predict Fracture: Systematic Review and Meta-Analysis. Journal of Bone and Mineral Research. 35(3). 446–459. 122 indexed citations
10.
Ensrud, Kristine E., Andrew J. Burghardt, John T. Schousboe, et al.. (2018). Weight loss in men in late life and bone strength and microarchitecture: a prospective study. Osteoporosis International. 29(7). 1549–1558. 14 indexed citations
11.
Carballido‐Gamio, Julio, Serena Bonaretti, Galateia J. Kazakia, et al.. (2016). Statistical Parametric Mapping of HR-pQCT Images: A Tool for Population-Based Local Comparisons of Micro-Scale Bone Features. Annals of Biomedical Engineering. 45(4). 949–962. 9 indexed citations
12.
Bonaretti, Serena, Nicolas Vilayphiou, Aihong Yu, et al.. (2016). Operator variability in scan positioning is a major component of HR-pQCT precision error and is reduced by standardized training. Osteoporosis International. 28(1). 245–257. 34 indexed citations
13.
Burghardt, Andrew J., et al.. (2009). Age- and gender-related differences in the geometric properties and biomechanical significance of intracortical porosity in the distal radius and tibia. Journal of Bone and Mineral Research. 25(5). 983–993. 269 indexed citations
14.
Krug, Roland, Julio Carballido‐Gamio, Andrew J. Burghardt, et al.. (2007). Assessment of trabecular bone structure comparing magnetic resonance imaging at 3 Tesla with high-resolution peripheral quantitative computed tomography ex vivo and in vivo. Osteoporosis International. 19(5). 653–661. 64 indexed citations
15.
Wang, Yongmei, Shigeki Nishida, Benjamin Boudignon, et al.. (2007). IGF-I Receptor Is Required for the Anabolic Actions of Parathyroid Hormone on Bone. Journal of Bone and Mineral Research. 22(9). 1329–1337. 108 indexed citations
16.
17.
Cao, Jay, Patrick A. Singleton, Sharmila Majumdar, et al.. (2005). Hyaluronan Increases RANKL Expression in Bone Marrow Stromal Cells Through CD44. Journal of Bone and Mineral Research. 20(1). 30–40. 6 indexed citations
18.
İnceoğlu, Serkan, et al.. (2005). Trabecular Architecture of Lumbar Vertebral Pedicle. Spine. 30(13). 1485–1490. 25 indexed citations
19.
Issever, Ahi Sema, et al.. (2003). Micro-Computed Tomography Evaluation of Trabecular Bone Structure on Loaded Mice Tail Vertebrae. Spine. 28(2). 123–128. 26 indexed citations
20.
Niebur, Glen L., Jonathan C. Yuen, Andrew J. Burghardt, & Tony M. Keaveny. (2001). Sensitivity of damage predictions to tissue level yield properties and apparent loading conditions. Journal of Biomechanics. 34(5). 699–706. 27 indexed citations

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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