Per Magnusson

4.1k total citations
116 papers, 3.2k citations indexed

About

Per Magnusson is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Molecular Biology. According to data from OpenAlex, Per Magnusson has authored 116 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Endocrinology, Diabetes and Metabolism, 40 papers in Orthopedics and Sports Medicine and 27 papers in Molecular Biology. Recurrent topics in Per Magnusson's work include Alkaline Phosphatase Research Studies (42 papers), Bone health and osteoporosis research (27 papers) and Parathyroid Disorders and Treatments (26 papers). Per Magnusson is often cited by papers focused on Alkaline Phosphatase Research Studies (42 papers), Bone health and osteoporosis research (27 papers) and Parathyroid Disorders and Treatments (26 papers). Per Magnusson collaborates with scholars based in Sweden, United States and United Kingdom. Per Magnusson's co-authors include Laşse Larsson, Mathias Haarhaus, Diana Swolin‐Eide, Peter Stenvinkel, Christopher Sharp, Alan Werker, Kamyar Kalantar‐Zadeh, Owe Löfman, Vincent Brandenburg and Peter Johansson and has published in prestigious journals such as Analytical Chemistry, The Journal of Clinical Endocrinology & Metabolism and Bioresource Technology.

In The Last Decade

Per Magnusson

112 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per Magnusson Sweden 32 777 763 691 593 546 116 3.2k
Collin J. Weber United States 33 882 1.1× 357 0.5× 140 0.2× 963 1.6× 2.3k 4.1× 127 3.8k
Nathalie Bravenboer Netherlands 33 292 0.4× 990 1.3× 637 0.9× 214 0.4× 307 0.6× 116 3.0k
Geeta Hampson United Kingdom 27 168 0.2× 962 1.3× 731 1.1× 1.3k 2.3× 398 0.7× 57 3.5k
Tatsuya Koike Japan 31 96 0.1× 891 1.2× 288 0.4× 52 0.1× 581 1.1× 136 3.5k
Ana Marı́a Cortizo Argentina 34 382 0.5× 1.2k 1.5× 473 0.7× 65 0.1× 351 0.6× 89 3.0k
Meijing Wang United States 51 634 0.8× 2.1k 2.7× 34 0.0× 120 0.2× 1.2k 2.3× 207 7.3k
Shaojie Wang China 29 194 0.2× 534 0.7× 108 0.2× 268 0.5× 546 1.0× 111 2.7k
Fang Lv China 28 250 0.3× 787 1.0× 159 0.2× 79 0.1× 224 0.4× 176 2.5k
G. Kesava Reddy United States 27 201 0.3× 448 0.6× 398 0.6× 28 0.0× 688 1.3× 48 3.5k
Licheng Zhang China 37 63 0.1× 848 1.1× 390 0.6× 73 0.1× 1.8k 3.4× 216 4.6k

Countries citing papers authored by Per Magnusson

Since Specialization
Citations

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

Fields of papers citing papers by Per Magnusson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Per Magnusson. 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 Per Magnusson. The network helps show where Per Magnusson may publish in the future.

Co-authorship network of co-authors of Per Magnusson

This figure shows the co-authorship network connecting the top 25 collaborators of Per Magnusson. A scholar is included among the top collaborators of Per Magnusson 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 Per Magnusson. Per Magnusson 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.
Cipriani, Cristiana, et al.. (2025). Diagnostic Approach to Abnormal Alkaline Phosphatase Value. Mayo Clinic Proceedings. 100(4). 712–728. 7 indexed citations
2.
Bouquegneau, Antoine, Bernard Dubois, Caroline Le Goff, et al.. (2025). Changes in Bone Turnover Markers Associated With a Single Dialysis Session. Artificial Organs. 49(10). 1588–1591.
3.
Gustafsson, Jan, Pauliina Utriainen, Per Magnusson, et al.. (2024). Demographic and disease-related factors impact bone turnover and vitamin D in children with hemato-oncological diseases. JBMR Plus. 8(4). ziae017–ziae017. 1 indexed citations
4.
Mirgorodskaya, Ekaterina, Lavanya Moparthi, Stefan Koch, et al.. (2024). Glycoproteomic profile of human tissue-nonspecific alkaline phosphatase expressed in osteoblasts. JBMR Plus. 8(2). ziae006–ziae006. 7 indexed citations
5.
6.
Johansson, Helena, Kristian F. Axelsson, Per Magnusson, et al.. (2023). Hemoglobin Levels Improve Fracture Risk Prediction in Addition to FRAX Clinical Risk Factors and Bone Mineral Density. The Journal of Clinical Endocrinology & Metabolism. 108(12). e1479–e1488. 6 indexed citations
7.
Mäkitie, Riikka E., Anders Kämpe, Alice Costantini, et al.. (2020). Biomarkers in WNT1 and PLS3 Osteoporosis: Altered Concentrations of DKK1 and FGF23. Journal of Bone and Mineral Research. 35(5). 901–912. 22 indexed citations
8.
Hallböök, T, et al.. (2019). Prospective study of growth and bone mass in Swedish children treated with the modified Atkins diet. European Journal of Paediatric Neurology. 23(4). 629–638. 19 indexed citations
9.
Lång, Pernilla, et al.. (2019). Intensive weight gain therapy in patients with anorexia nervosa results in improved serum tartrate-resistant acid phosphatase (TRAP) 5a and 5b isoform protein levels. Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity. 25(5). 1387–1397. 2 indexed citations
10.
Haarhaus, Mathias, Dean Gilham, Ewelina Kulikowski, Per Magnusson, & Kamyar Kalantar‐Zadeh. (2019). Pharmacologic epigenetic modulators of alkaline phosphatase in chronic kidney disease. Current Opinion in Nephrology & Hypertension. 29(1). 4–15. 18 indexed citations
11.
Swolin‐Eide, Diana, Björn Andersson, Gunnel Hellgren, Per Magnusson, & Kerstin Albertsson‐Wikland. (2018). Variation of bone acquisition during growth hormone treatment in children can be explained by proteomic biomarkers, bone formation markers, body composition and nutritional factors. Bone. 116. 144–153. 4 indexed citations
12.
Haarhaus, Mathias, Hans J. Arnqvist, & Per Magnusson. (2013). Calcifying Human Aortic Smooth Muscle Cells Express Different Bone Alkaline Phosphatase Isoforms, Including the Novel B1x Isoform. Journal of Vascular Research. 50(2). 167–174. 23 indexed citations
13.
Jia, Ting, Abdul Rashid Qureshi, Vincent Brandenburg, et al.. (2013). Determinants of Fibroblast Growth Factor-23 and Parathyroid Hormone Variability in Dialysis Patients. American Journal of Nephrology. 37(5). 462–471. 8 indexed citations
14.
Narisawa, Sonoko, et al.. (2012). Characterization Of Alkaline Phosphatase In Mice. 51(1). 32. 1 indexed citations
15.
16.
Löfman, Owe, Per Magnusson, Göran Toss, & Laşse Larsson. (2005). Common biochemical markers of bone turnover predict future bone loss: A 5-year follow-up study. Clinica Chimica Acta. 356(1-2). 67–75. 57 indexed citations
17.
Magnusson, Per, et al.. (2002). Bone alkaline phosphatase isoforms in chronic renal failure - Reply. Kidney International. 61(3). 4 indexed citations
18.
Magnusson, Per, et al.. (2002). Bone alkaline phosphatase isoforms in chronic renal failure. Kidney International. 61. 1178–1181. 1 indexed citations
19.
20.
Vessman, Jörgen, et al.. (1977). Determination of intact oxazepam by electron capture gas chromatography after an extractive alkylation reaction. Analytical Chemistry. 49(11). 1545–1549. 18 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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