C-C Glüer

1.3k total citations
35 papers, 906 citations indexed

About

C-C Glüer is a scholar working on Orthopedics and Sports Medicine, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, C-C Glüer has authored 35 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Orthopedics and Sports Medicine, 9 papers in Physiology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in C-C Glüer's work include Bone health and osteoporosis research (11 papers), Nutrition and Health in Aging (5 papers) and Body Composition Measurement Techniques (4 papers). C-C Glüer is often cited by papers focused on Bone health and osteoporosis research (11 papers), Nutrition and Health in Aging (5 papers) and Body Composition Measurement Techniques (4 papers). C-C Glüer collaborates with scholars based in Germany, United States and France. C-C Glüer's co-authors include Martin Heller, Klaus Engelke, Maryam Pourhassan, Ruggero Cadossi, Francesca de Terlizzi, B. Stampa, Peter Steiger, K Faulkner, Philipp Lang and Reinhard Barkmann and has published in prestigious journals such as American Journal of Clinical Nutrition, Radiology and Journal of Bone and Mineral Research.

In The Last Decade

C-C Glüer

33 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C-C Glüer Germany 15 457 339 158 111 99 35 906
Alexander Taylor United States 14 301 0.7× 126 0.4× 241 1.5× 108 1.0× 55 0.6× 32 1.0k
Isra Saeed United States 16 478 1.0× 163 0.5× 290 1.8× 73 0.7× 94 0.9× 28 880
B Kaymakci Australia 11 529 1.2× 296 0.9× 115 0.7× 264 2.4× 120 1.2× 14 952
Michael A. Miller United States 13 210 0.5× 71 0.2× 87 0.6× 236 2.1× 187 1.9× 27 725
Wai‐Wang Chau Hong Kong 19 162 0.4× 113 0.3× 846 5.4× 77 0.7× 93 0.9× 84 1.2k
Taner Erselcan Türkiye 17 97 0.2× 133 0.4× 73 0.5× 51 0.5× 58 0.6× 41 770
P Lanning Finland 16 66 0.1× 205 0.6× 162 1.0× 56 0.5× 33 0.3× 43 962
Eric J. Stöhr United Kingdom 19 71 0.2× 257 0.8× 238 1.5× 36 0.3× 67 0.7× 72 1.5k
Raja Sawaya Lebanon 16 127 0.3× 48 0.1× 181 1.1× 51 0.5× 70 0.7× 53 909
John J. Freiberger United States 18 309 0.7× 41 0.1× 68 0.4× 88 0.8× 374 3.8× 39 996

Countries citing papers authored by C-C Glüer

Since Specialization
Citations

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

Fields of papers citing papers by C-C Glüer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C-C Glüer. 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 C-C Glüer. The network helps show where C-C Glüer may publish in the future.

Co-authorship network of co-authors of C-C Glüer

This figure shows the co-authorship network connecting the top 25 collaborators of C-C Glüer. A scholar is included among the top collaborators of C-C Glüer 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 C-C Glüer. C-C Glüer 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.
Heppner, Christina, et al.. (2022). Discrepancies Between Osteoporotic Fracture Evaluations in Men Based on German (DVO) Osteoporosis Guidelines or the FRAX Score. Experimental and Clinical Endocrinology & Diabetes. 131(3). 114–122. 1 indexed citations
2.
Rothmann, Mette Juel, Sören Möller, Teresa Holmberg, et al.. (2017). Non-participation in systematic screening for osteoporosis—the ROSE trial. Osteoporosis International. 28(12). 3389–3399. 20 indexed citations
3.
Pourhassan, Maryam, et al.. (2016). Impact of weight loss-associated changes in detailed body composition as assessed by whole-body MRI on plasma insulin levels and homeostatis model assessment index. European Journal of Clinical Nutrition. 71(2). 212–218. 16 indexed citations
4.
Geisler, Corinna, et al.. (2016). Associations between body composition, physical capabilities and pulmonary function in healthy older adults. European Journal of Clinical Nutrition. 71(3). 389–394. 17 indexed citations
5.
Geisler, Corinna, et al.. (2014). Assessment and definition of lean body mass deficiency in the elderly. European Journal of Clinical Nutrition. 68(11). 1220–1227. 44 indexed citations
6.
Rothmann, Mette Juel, Jette Ammentorp, Mickael Bech, et al.. (2014). Self-perceived facture risk: factors underlying women’s perception of risk for osteoporotic fractures: the Risk-Stratified Osteoporosis Strategy Evaluation study (ROSE). Osteoporosis International. 26(2). 689–697. 12 indexed citations
7.
Pourhassan, Maryam, Britta Schautz, Wiebke Braun, et al.. (2013). Impact of body-composition methodology on the composition of weight loss and weight gain. European Journal of Clinical Nutrition. 67(5). 446–454. 31 indexed citations
8.
Bosy‐Westphal, Anja, Britta Schautz, Merit Lagerpusch, et al.. (2013). Effect of weight loss and regain on adipose tissue distribution, composition of lean mass and resting energy expenditure in young overweight and obese adults. International Journal of Obesity. 37(10). 1371–1377. 96 indexed citations
9.
Later, Wiebke, et al.. (2010). Is the 1975 Reference Man still a suitable reference?. European Journal of Clinical Nutrition. 64(10). 1035–1042. 23 indexed citations
10.
Glüer, C-C, et al.. (2009). Report 81. Journal of the ICRU. 9(1). NP.1–NP. 1 indexed citations
11.
Kalender, Willi A., Klaus Engelke, Thomas Fuerst, et al.. (2009). 7. Quantitative Ultrasound. Journal of the ICRU. 9(1). 71–104.
12.
Kalender, Willi A., Klaus Engelke, Thomas Fuerst, et al.. (2009). Quantitative Aspects of Bone Densitometry. Journal of the ICRU. 9(1). 1–4. 2 indexed citations
13.
Kalender, Willi A., Klaus Engelke, Thomas Fuerst, et al.. (2009). 7. Quantitative Ultrasound. Journal of the ICRU. 9(1). 71–104. 1 indexed citations
14.
Scholz-Ahrens, Katharina Elisabeth, G. Delling, B. Stampa, et al.. (2007). Glucocorticosteroid-induced osteoporosis in adult primiparous Göttingen miniature pigs: effects on bone mineral and mineral metabolism. American Journal of Physiology-Endocrinology and Metabolism. 293(1). E385–E395. 28 indexed citations
15.
Engelke, Klaus & C-C Glüer. (2006). Quality and performance measures in bone densitometry. Osteoporosis International. 17(9). 1283–1292. 70 indexed citations
16.
Rohrschneider, W., J. Tröger, Francesca de Terlizzi, et al.. (2002). German Pediatric Reference Data for Quantitative Transverse Transmission Ultrasound of Finger Phalanges. Osteoporosis International. 13(1). 55–61. 71 indexed citations
17.
Barkmann, Reinhard, et al.. (2000). Assessment of the Geometry of Human Finger Phalanges Using Quantitative Ultrasound In Vivo. Osteoporosis International. 11(9). 745–755. 94 indexed citations
18.
19.
Reuter, M., et al.. (1999). Functional and high-resolution computed tomographic studies of divers' lungs. Scandinavian Journal of Work Environment & Health. 25(1). 67–74. 9 indexed citations
20.
Takada, Masahiko, Klaus Engelke, Satoshi Hagiwara, et al.. (1997). Assessment of osteoporosis: comparison of radiographic absorptiometry of the phalanges and dual X-ray absorptiometry of the radius and lumbar spine.. Radiology. 202(3). 759–763. 34 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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