Markus Langkamp

856 citations
19 papers · 707 · h-index 15

Impact in

Papers in

Markus Langkamp

19 papers receiving 686 citations

Peers

Markus Langkamp
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 206
  • Neurology 148
  • Neurology 79
  • Biological Psychiatry 11
  • Cancer Research 61
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Ali Sazcı Türkiye
Khanh‐Dung H. Nguyen United States
Da‐Lin Yao United States
Kelli Sullivan United States
Yolanda E. Bogaert United States
Marina Bogush United States
Jadwiga Jośko Poland
Maggie Lai United Kingdom
Rachel E. Weitzman United States
Judith A. Herlein United States
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Citations per year

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-authors

The 25 scholars most cited alongside Markus Langkamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Langkamp Line = papers co-authored together Markus Langkamp links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2004132
2 200972
3 201063
4 201163
5 201660
6 201747
7 201145
8 201436
9 201233
10 200230
11 200823
12 201019
13 200117
14 202117
15 201415
16 201214
17 20129
18 20097
19
Validation of functional insulin-like growth factor binding protein-3 measurement by a ligand immunoassay.
20105

About Markus Langkamp

Markus Langkamp is a scholar working on Endocrinology, Diabetes and Metabolism, Neurology, Physiology, Neurology and Biological Psychiatry, having authored 19 papers that have together received 707 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Alzheimer's disease research and treatments (3 papers), Cystic Fibrosis Research Advances (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Multiple Sclerosis Research Studies (1 paper), Tryptophan and brain disorders (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (206 citations), Neurology (148 citations), Neurology (79 citations), Biological Psychiatry (11 citations) and Cancer Research (61 citations). Markus Langkamp has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Michael B. Ranke, Karin Weber, Daniela Berg, Gerhard Binder, Walter Maetzler, Gunnar Blumenstock, Axel Rainer Franz, Thomas Gasser, David B. Dunger and Carlo L. Acerini. Their work appears in journals such as Journal of Cystic Fibrosis, Journal of Alzheimer s Disease, The Journal of Clinical Endocrinology & Metabolism, Journal of Neuroinflammation and Clinical Chemistry and Laboratory Medicine (CCLM).

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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