Martin Schebek

447 total citations
9 papers, 105 citations indexed

About

Martin Schebek is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Martin Schebek has authored 9 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Martin Schebek's work include Diabetes and associated disorders (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Cystic Fibrosis Research Advances (2 papers). Martin Schebek is often cited by papers focused on Diabetes and associated disorders (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Cystic Fibrosis Research Advances (2 papers). Martin Schebek collaborates with scholars based in Germany, Austria and Denmark. Martin Schebek's co-authors include Reinhard W. Holl, Elke Fröhlich‐Reiterer, Katharina Warncke, Thomas Meißner, Tilman Rohrer, Susanne Liptay, Nicole Scheuing, A. Thon, Sascha R. Tittel and Martin Holder and has published in prestigious journals such as The Journal of Pediatrics, Clinical Endocrinology and Pediatric Diabetes.

In The Last Decade

Martin Schebek

8 papers receiving 102 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Schebek Germany 5 53 35 21 18 18 9 105
Charlotte Cordonnier France 5 36 0.7× 7 0.2× 15 0.7× 19 1.1× 21 1.2× 10 148
H. Ben Hamouda Tunisia 6 34 0.6× 9 0.3× 23 1.1× 5 0.3× 4 0.2× 27 121
Sarah Ellul Malta 4 32 0.6× 11 0.3× 13 0.6× 10 0.6× 22 1.2× 10 146
Aakash Aggarwal United States 5 24 0.5× 10 0.3× 31 1.5× 4 0.2× 3 0.2× 7 76
W Höhne Germany 5 40 0.8× 6 0.2× 11 0.5× 7 0.4× 6 0.3× 8 134
Lela Olds United States 3 156 2.9× 31 0.9× 3 0.1× 76 4.2× 14 0.8× 4 275
Angela K. Moss United States 4 18 0.3× 84 2.4× 5 0.2× 16 0.9× 13 0.7× 8 200
Adel Alqutub Saudi Arabia 9 14 0.3× 11 0.3× 20 1.0× 12 0.7× 9 0.5× 26 177
Pierluigi Puca Italy 8 62 1.2× 6 0.2× 28 1.3× 3 0.2× 11 0.6× 21 165
Kavita Juneja United States 6 22 0.4× 70 2.0× 5 0.2× 3 0.2× 32 1.8× 11 128

Countries citing papers authored by Martin Schebek

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schebek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schebek

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

All Works

9 of 9 papers shown
1.
Nährlich, Lutz, Annette Sauer‐Heilborn, Martin Schebek, et al.. (2023). Every CFTR variant counts – Target-capture based next-generation-sequencing for molecular diagnosis in the German CF Registry. Journal of Cystic Fibrosis. 23(4). 774–781. 2 indexed citations
2.
Tittel, Sascha R., et al.. (2020). Multicentre analysis of hyperglycaemic hyperosmolar state and diabetic ketoacidosis in type 1 and type 2 diabetes. Acta Diabetologica. 57(10). 1245–1253. 20 indexed citations
3.
Schebek, Martin, Klaus Brusgaard, Nadine Bachmann, et al.. (2020). Comparative meta‐analysis of Kabuki syndrome with and without hyperinsulinaemic hypoglycaemia. Clinical Endocrinology. 93(3). 346–354. 16 indexed citations
5.
Schwarz, C., Claudia Brandt, Volker O. Melichar, et al.. (2018). Combined antifungal therapy is superior to monotherapy in pulmonary scedosporiosis in cystic fibrosis. Journal of Cystic Fibrosis. 18(2). 227–232. 23 indexed citations
6.
Reinauer, Christina, Thomas Reinehr, Christina Baechle, et al.. (2017). Relationship of Serum Fetuin A with Metabolic and Clinical Parameters in German Children and Adolescents with Type 1 Diabetes. Hormone Research in Paediatrics. 89(2). 73–81. 3 indexed citations
7.
Thon, A., Kirsten Mönkemöller, Eggert Lilienthal, et al.. (2015). Comorbidity of Type 1 Diabetes and Juvenile Idiopathic Arthritis. The Journal of Pediatrics. 166(4). 930–935.e3. 17 indexed citations
8.
Warncke, Katharina, Susanne Liptay, Elke Fröhlich‐Reiterer, et al.. (2015). Vascular risk factors in children, adolescents, and young adults with type 1 diabetes complicated by celiac disease: results from the DPV initiative. Pediatric Diabetes. 17(3). 191–198. 23 indexed citations
9.
Scheuing, Nicole, Maria Bauer, Katja Konrad, et al.. (2015). Association of CFTR mutations with Cystic Fibrosis related Diabetes (CFRD) in Germany and Austria: a multicentre analysis from the DPV registry. Diabetologie und Stoffwechsel. 10(S 01). 1 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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