Markus Langkamp

834 total citations
16 papers, 532 citations indexed

About

Markus Langkamp is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Markus Langkamp has authored 16 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Markus Langkamp's work include Growth Hormone and Insulin-like Growth Factors (8 papers), Alzheimer's disease research and treatments (3 papers) and Birth, Development, and Health (3 papers). Markus Langkamp is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (8 papers), Alzheimer's disease research and treatments (3 papers) and Birth, Development, and Health (3 papers). Markus Langkamp collaborates with scholars based in Germany, United States and Belgium. Markus Langkamp's co-authors include Michael B. Ranke, Karin Weber, Walter Maetzler, Daniela Berg, Ken K. Ong, Thomas Gasser, Carlo L. Acerini, Ieuan A. Hughes, David B. Dunger and Axel R. Franz and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Markus Langkamp

16 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Langkamp Germany 12 215 172 76 74 71 16 532
P Adlard United Kingdom 12 306 1.4× 313 1.8× 114 1.5× 139 1.9× 60 0.8× 16 709
Tal Oron Israel 15 253 1.2× 184 1.1× 213 2.8× 83 1.1× 28 0.4× 42 785
Irene Martín‐Estal Mexico 11 93 0.4× 120 0.7× 71 0.9× 79 1.1× 38 0.5× 22 397
Sau Cheung Tiu China 13 158 0.7× 204 1.2× 21 0.3× 49 0.7× 35 0.5× 23 458
L K Kwong United States 12 107 0.5× 209 1.2× 103 1.4× 83 1.1× 134 1.9× 19 568
Sylvia van Buul‐Offers Netherlands 11 216 1.0× 140 0.8× 57 0.8× 179 2.4× 36 0.5× 19 508
R Tsuda Japan 14 89 0.4× 266 1.5× 54 0.7× 31 0.4× 69 1.0× 45 657
Manuel Rey‐Funes Argentina 9 91 0.4× 223 1.3× 68 0.9× 78 1.1× 41 0.6× 22 476
Arnaud Agin France 11 174 0.8× 169 1.0× 28 0.4× 26 0.4× 22 0.3× 25 542

Countries citing papers authored by Markus Langkamp

Since Specialization
Citations

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

Fields of papers citing papers by Markus Langkamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Langkamp

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Langkamp. A scholar is included among the top collaborators of Markus Langkamp 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 Markus Langkamp. Markus Langkamp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Maetzler, Walter, Anja Apel, Markus Langkamp, et al.. (2014). Comparable Autoantibody Serum Levels against Amyloid- and Inflammation-Associated Proteins in Parkinson’s Disease Patients and Controls. PLoS ONE. 9(2). e88604–e88604. 34 indexed citations
2.
Daines, Cori, Donald R. VanDevanter, Umer Khan, et al.. (2014). Serology as a diagnostic tool for predicting initialPseudomonas aeruginosa acquisition in childrenwith cystic fibrosis. Journal of Cystic Fibrosis. 13(5). 542–549. 12 indexed citations
3.
Büscher, Anja, Rainer Büscher, Lutz Pridzun, et al.. (2012). Functional and total IGFBP3 for the assessment of disorders of the GH/IGF1 axis in children with chronic kidney disease, GH deficiency, or short stature after SGA status at birth. European Journal of Endocrinology. 166(5). 923–931. 11 indexed citations
4.
Anstead, Michael, Sonya L. Heltshe, Umer Khan, et al.. (2012). Pseudomonas aeruginosa serology and risk for re-isolation in the EPIC trial. Journal of Cystic Fibrosis. 12(2). 147–153. 26 indexed citations
5.
Maetzler, Walter, Markus Langkamp, Stefanie Lerche, et al.. (2012). Lowered Serum Amyloid-β1-42 Autoantibodies in Individuals with Lifetime Depression. Journal of Alzheimer s Disease. 32(1). 95–100. 9 indexed citations
6.
Föcker, Manuel, Nina Timmesfeld, Susann Scherag, et al.. (2011). Screening for anorexia nervosa via measurement of serum leptin levels. Journal of Neural Transmission. 118(4). 571–578. 37 indexed citations
7.
Maetzler, Walter, Daniela Berg, Matthis Synofzik, et al.. (2011). Autoantibodies Against Amyloid and Glial-Derived Antigens are Increased in Serum and Cerebrospinal Fluid of Lewy Body-Associated Dementias. Journal of Alzheimer s Disease. 26(1). 171–179. 58 indexed citations
8.
Nagel, J., Ingrid Renner‐Müller, David Horst, et al.. (2010). Insulin Glargine and NPH Insulin Increase to a Similar Degree Epithelial Cell Proliferation and Aberrant Crypt Foci Formation in Colons of Diabetic Mice. Hormones and Cancer. 1(6). 320–330. 18 indexed citations
9.
Langkamp, Markus, et al.. (2010). Validation of functional insulin-like growth factor binding protein-3 measurement by a ligand immunoassay.. PubMed. 56(11-12). 535–42. 5 indexed citations
10.
Binder, Gerhard, et al.. (2010). Rational Approach to the Diagnosis of Severe Growth Hormone Deficiency in the Newborn. The Journal of Clinical Endocrinology & Metabolism. 95(5). 2219–2226. 52 indexed citations
11.
Langkamp, Markus, et al.. (2009). Detection of myelin autoantibodies: evaluation of an assay system for diagnosis of multiple sclerosis in differentiation from other central nervous system diseases. Clinical Chemistry and Laboratory Medicine (CCLM). 47(11). 1395–400. 7 indexed citations
12.
Ong, Ken K., Markus Langkamp, Michael B. Ranke, et al.. (2009). Insulin-like growth factor I concentrations in infancy predict differential gains in body length and adiposity: the Cambridge Baby Growth Study. American Journal of Clinical Nutrition. 90(1). 156–161. 67 indexed citations
13.
Langkamp, Markus, Karin Weber, & Michael B. Ranke. (2008). Human growth hormone measurement by means of a sensitive ELISA of whole blood spots on filter paper. Growth Hormone & IGF Research. 18(6). 526–532. 22 indexed citations
14.
Langkamp, Markus, et al.. (2004). Integrin-mediated action of insulin-like growth factor binding protein-2 in tumor cells. Journal of Molecular Endocrinology. 32(3). 859–868. 128 indexed citations
15.
Quick, Matthias, et al.. (2002). Sites Important for Na+ and Substrate Binding in the Na+/Proline Transporter of Escherichia coli, a Member of the Na+/Solute Symporter Family. Journal of Biological Chemistry. 277(11). 8790–8796. 29 indexed citations
16.
Schüett, Burkhardt S., et al.. (2001). Transactivation of the IGFBP-2 promoter in human tumor cell lines. Molecular and Cellular Endocrinology. 175(1-2). 211–218. 17 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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