Ursula Heilmeier
About
Ursula Heilmeier is a scholar working on Rheumatology, Surgery and Orthopedics and Sports Medicine.
According to data from OpenAlex, Ursula Heilmeier has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Rheumatology, 22 papers in Surgery and 20 papers in Orthopedics and Sports Medicine. Recurrent topics in Ursula Heilmeier's work include Osteoarthritis Treatment and Mechanisms (21 papers), Lower Extremity Biomechanics and Pathologies (14 papers) and Bone and Joint Diseases (13 papers). Ursula Heilmeier is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (21 papers), Lower Extremity Biomechanics and Pathologies (14 papers) and Bone and Joint Diseases (13 papers). Ursula Heilmeier collaborates with scholars based in United States, Germany and Austria. Ursula Heilmeier's co-authors include Thomas M. Link, Gabby B. Joseph, Charles E. McCulloch, Matthias Hackl, Johannes Grillari, Sylvia Weilner, Michael C. Nevitt, J.A. Lynch, Janina Patsch and Benedikt J. Schwaiger and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Bone and Mineral Research and Annals of the Rheumatic Diseases.
In The Last Decade
Ursula Heilmeier
49 papers receiving 1.2k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ursula Heilmeier United States | 21 | 575 | 471 | 319 | 299 | 286 | 51 | 1.2k | ||
| Marjorie Albrecht United States | 19 | 949 1.7× | 725 1.5× | 352 1.1× | 236 0.8× | 219 0.8× | 34 | 1.9k | ||
| G. McDaniel United States | 16 | 953 1.7× | 469 1.0× | 175 0.5× | 221 0.7× | 216 0.8× | 28 | 1.4k | ||
| Olivier Bénichou United States | 25 | 949 1.7× | 518 1.1× | 147 0.5× | 358 1.2× | 302 1.1× | 35 | 1.7k | ||
| Alexander Mathiessen Norway | 13 | 993 1.7× | 294 0.6× | 148 0.5× | 207 0.7× | 76 0.3× | 36 | 1.3k | ||
| Moeen Abedin United States | 13 | 169 0.3× | 391 0.8× | 165 0.5× | 499 1.7× | 81 0.3× | 25 | 1.5k | ||
| Arata Nakajima Japan | 19 | 247 0.4× | 804 1.7× | 334 1.0× | 344 1.2× | 152 0.5× | 82 | 1.6k | ||
| Jonas Jensen Denmark | 21 | 190 0.3× | 490 1.0× | 84 0.3× | 312 1.0× | 236 0.8× | 35 | 1.3k | ||
| Akihide Nampei Japan | 16 | 409 0.7× | 155 0.3× | 350 1.1× | 357 1.2× | 54 0.2× | 38 | 1.2k | ||
| Yuanchen Ma China | 15 | 198 0.3× | 314 0.7× | 228 0.7× | 247 0.8× | 64 0.2× | 52 | 811 |
Countries citing papers authored by Ursula Heilmeier
Since
Specialization
Citations
This map shows the geographic impact of Ursula Heilmeier'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 Ursula Heilmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Heilmeier more than expected).
Fields of papers citing papers by Ursula Heilmeier
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Ursula Heilmeier. 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 Ursula Heilmeier. The network helps show where Ursula Heilmeier may publish in the future.
Co-authorship network of co-authors of Ursula Heilmeier
This figure shows the co-authorship network connecting the top 25 collaborators of Ursula Heilmeier. A scholar is included among the top collaborators of Ursula Heilmeier 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 Ursula Heilmeier. Ursula Heilmeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Heilmeier, Ursula, Ursina Meyer, Melanie Kistler-Fischbacher, et al.. (2025). Regular Proton-Pump Inhibitor Intake is Associated with Deterioration of Peripheral Bone Mineral Density, Microarchitecture, and Strength in Older Patients as Assessed by High-Resolution Peripheral Quantitative Computed Tomography (HR-pQCT). Calcified Tissue International. 116(1). 131–131.
2.
Heilmeier, Ursula, Andrew P. Leynes, Marius Keute, et al.. (2024). Chronic low-grade inflammation in patients with systemic sclerosis is associated with increased risk for arteriosclerotic cardiovascular disease. Frontiers in Medicine. 11. 1446268–1446268.
3.
Heilmeier, Ursula, Matthias Hackl, Klemens Vierlinger, et al.. (2022). Circulating serum microRNAs including senescent miR-31-5p are associated with incident fragility fractures in older postmenopausal women with type 2 diabetes mellitus. Bone. 158. 116308–116308.
4.
Heilmeier, Ursula, Gabby B. Joseph, Julio Carballido‐Gamio, et al.. (2021). Longitudinal Evolution of Bone Microarchitecture and Bone Strength in Type 2 Diabetic Postmenopausal Women With and Without History of Fragility Fractures—A 5-Year Follow-Up Study Using High Resolution Peripheral Quantitative Computed Tomography. Frontiers in Endocrinology. 12. 599316–599316.
5.
Neumann, Jan, Júlio Brandão Guimarães, Ursula Heilmeier, et al.. (2018). Diabetics show accelerated progression of knee cartilage and meniscal lesions: data from the osteoarthritis initiative. Skeletal Radiology. 48(6). 919–930.
6.
Nevitt, M.C., Charles E. McCulloch, Jan Neumann, et al.. (2018). Associations between molecular biomarkers and MR-based cartilage composition and knee joint morphology: data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 26(8). 1070–1077.
7.
Heilmeier, Ursula, Keiko Amano, Benedikt J. Schwaiger, et al.. (2017). Synovitis of knee joint fat pads is correlated with inflammatory synovial cytokine profile and may have a potential role in the development of posttraumatic OA following ACL injury. Osteoarthritis and Cartilage. 25. S41–S42.
8.
Heilmeier, Ursula, Gabby B. Joseph, Jan Neumann, et al.. (2017). MR-Based Whole-Organ Magnetic Resonance Imaging Score (Worms) Parameters are Predictors of Incident Total knee Arthroplasty 4 to 7 Years Later. Osteoarthritis and Cartilage. 25. S236–S236.
9.
Neumann, Jan, Ursula Heilmeier, Gabby B. Joseph, et al.. (2017). Texture analysis of T2 maps of the cartilage indicates differences in knee cartilage matrix in subjects with type 2 diabetes: data from the osteoarthritis initiative. Osteoarthritis and Cartilage. 25. S73–S74.
10.
Heilmeier, Ursula, et al.. (2017). Metabolic Syndrome is Associated With Differences in Knee Cartilage Texture – Data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 25. S245–S246.
11.
Neumann, Jan, Ursula Heilmeier, Gabby B. Joseph, et al.. (2017). Conservatively treated knee injury is associated with knee cartilage matrix degeneration measured with MRI-based T2 relaxation times: data from the osteoarthritis initiative. Skeletal Radiology. 47(1). 93–106.
12.
Shimizu, Tomohiro, Hyo Jin Choi, Ursula Heilmeier, et al.. (2017). Assessment of 3-month changes in bone microstructure under anti-TNFα therapy in patients with rheumatoid arthritis using high-resolution peripheral quantitative computed tomography (HR-pQCT). Arthritis Research & Therapy. 19(1). 222–222.
13.
Kretzschmar, Martin, Ursula Heilmeier, Aihong Yu, et al.. (2016). Longitudinal analysis of cartilage T2 relaxation times and joint degeneration in African American and Caucasian American women over an observation period of 6 years – data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 24(8). 1384–1391.
14.
Heilmeier, Ursula, Kenneth C. Cheng, Jasmine A. Nirody, et al.. (2016). Cortical bone laminar analysis reveals increased midcortical and periosteal porosity in type 2 diabetic postmenopausal women with history of fragility fractures compared to fracture-free diabetics. Osteoporosis International. 27(9). 2791–2802.
15.
Gersing, Alexandra S., Benedikt J. Schwaiger, Ursula Heilmeier, et al.. (2016). Evaluation of Chondrocalcinosis and Associated Knee Joint Degeneration Using MR Imaging: Data from the Osteoarthritis Initiative. European Radiology. 27(6). 2497–2506.
16.
Kretzschmar, Martin, Lorenzo Nardo, Misung Han, et al.. (2015). Metal artefact suppression at 3 T MRI: comparison of MAVRIC-SL with conventional fast spin echo sequences in patients with Hip joint arthroplasty. European Radiology. 25(8). 2403–2411.
17.
Hackney, Lauren, Ursula Heilmeier, Lorenzo Nardo, et al.. (2015). Femoral condyle insufficiency fractures: associated clinical and morphological findings and impact on outcome. Skeletal Radiology. 44(12). 1785–1794.
18.
Kretzschmar, Martin, W. Lin, Lorenzo Nardo, et al.. (2014). Association of physical activity measured by accelerometer, knee joint abnormalities and cartilage T2 measurements obtained from 3T mri: data from the osteoarthritis initiative. Osteoarthritis and Cartilage. 22. S366–S367.
19.
Heilmeier, Ursula, et al.. (2014). MR imaging characteristics and clinical symptoms related to displaced meniscal flap tears. Skeletal Radiology. 44(3). 375–384.
20.
Heilmeier, Ursula, et al.. (2010). Ungewöhnlicher Fall eines atraumatischen Enophthalmus. Der Radiologe. 50(10). 902–906.
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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