Claudia Schurmann

20.8k total citations
22 papers, 514 citations indexed

About

Claudia Schurmann is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Claudia Schurmann has authored 22 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Claudia Schurmann's work include Genetic Associations and Epidemiology (5 papers), Chronic Kidney Disease and Diabetes (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Claudia Schurmann is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Chronic Kidney Disease and Diabetes (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Claudia Schurmann collaborates with scholars based in Germany, United States and Netherlands. Claudia Schurmann's co-authors include Uwe Völker, Georg Homuth, Henry Völzke, Henri Wallaschofski, Julia Mayerle, Markus M. Lerch, Georg Brabant, Frank Ulrich Weiß, Matthias Nauck and Jens K. Habermann and has published in prestigious journals such as Bioinformatics, Gastroenterology and Journal of the American College of Cardiology.

In The Last Decade

Claudia Schurmann

22 papers receiving 507 citations

Peers

Claudia Schurmann

SURGE

ONCOL

EPIDE

GENET

Delia Susan‐Resiga Canada

Liheng Yang United States

Ali Rıza Köksal Türkiye

Tomasz Dawiskiba Poland

J.Y. Kim South Korea

Alan T. Remaley United States

Yin Ping Wong Malaysia

Yuko Tanaka Japan

Delia Susan‐Resiga Canada

Claudia Schurmann

292 ×1.5

260 ×2.2

SURGE

57 ×0.5

ONCOL

70 ×0.7

EPIDE

57 ×0.8

GENET

Citations per year, relative to Claudia Schurmann Claudia Schurmann (= 1×) peers Delia Susan‐Resiga

Countries citing papers authored by Claudia Schurmann

Since Specialization

Citations

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

Fields of papers citing papers by Claudia Schurmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Schurmann

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

All Works

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20 of 20 papers shown

Schurmann, Claudia, et al.. (2024). A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease. Scientific Reports. 14(1). 9642–9642. 2 indexed citations

Schurmann, Claudia, et al.. (2023). Mendelian randomization indicates causal effects of estradiol levels on kidney function in males. Frontiers in Endocrinology. 14. 1232266–1232266. 1 indexed citations

Konigorski, Stefan, et al.. (2022). transferGWAS: GWAS of images using deep transfer learning. Bioinformatics. 38(14). 3621–3628. 16 indexed citations

Mielke, Johanna, Claudia Schurmann, Anna Köttgen, et al.. (2022). Prevalence, phenotypic characteristics and prognostic role of apparent treatment resistant hypertension in the German Chronic Kidney Disease (GCKD) study. Journal of Human Hypertension. 37(5). 345–353. 4 indexed citations

Hodonsky, Chani J., Claudia Schurmann, Ursula M. Schick, et al.. (2018). Generalization and fine mapping of red blood cell trait genetic associations to multi‐ethnic populations: The PAGE study. American Journal of Hematology. 93(8). 1061–1073. 4 indexed citations

Nadkarni, Girish N., Geneviève Galarneau, Stephen B. Ellis, et al.. (2017). Apolipoprotein L1 Variants and Blood Pressure Traits in African Americans. Journal of the American College of Cardiology. 69(12). 1564–1574. 45 indexed citations

Hollander, Wouter J. den, Linda Broer, Claudia Schurmann, et al.. (2017). Helicobacter pylori colonization and obesity – a Mendelian randomization study. Scientific Reports. 7(1). 14467–14467. 23 indexed citations

Uebe, Steffen, Arif B. Ekici, Frank Behrens, et al.. (2017). Genome-wide association and targeted analysis of copy number variants with psoriatic arthritis in German patients. BMC Medical Genetics. 18(1). 92–92. 7 indexed citations

Gheorghe, Marius, Claudia Schurmann, Marjolein J. Peters, et al.. (2016). Blood RNA expression profiles undergo major changes during the seventh decade. Oncotarget. 7(44). 71353–71361. 1 indexed citations

10.

Teumer, Alexander, Claudia Schurmann, Arne Schillert, et al.. (2015). Analyzing Illumina Gene Expression Microarray Data Obtained From Human Whole Blood Cell and Blood Monocyte Samples. Methods in molecular biology. 1368. 85–97. 2 indexed citations

11.

Haring, Robin, Claudia Schurmann, Georg Homuth, et al.. (2015). Associations between Serum Sex Hormone Concentrations and Whole Blood Gene Expression Profiles in the General Population. PLoS ONE. 10(5). e0127466–e0127466. 3 indexed citations

12.

Sendler, Matthias, Georg Beyer, Ujjwal Mukund Mahajan, et al.. (2015). Complement Component 5 Mediates Development of Fibrosis, via Activation of Stellate Cells, in 2 Mouse Models of Chronic Pancreatitis. Gastroenterology. 149(3). 765–776.e10. 66 indexed citations

13.

Weiß, Frank Ulrich, Claudia Schurmann, Annett Guenther, et al.. (2014). Fucosyltransferase 2 (FUT2) non-secretor status and blood group B are associated with elevated serum lipase activity in asymptomatic subjects, and an increased risk for chronic pancreatitis: a genetic association study. Gut. 64(4). 646–656. 55 indexed citations

14.

Schurmann, Claudia, Niklas Gebauer, Henri Wallaschofski, et al.. (2014). Global microRNA profiling of pancreatic neuroendocrine neoplasias.. PubMed. 34(5). 2249–54. 75 indexed citations

15.

Pietzner, Maik, Ina Lehmphul, Nele Friedrich, et al.. (2014). Translating Pharmacological Findings from Hypothyroid Rodents to Euthyroid Humans: Is There a Functional Role of Endogenous 3,5-T2?. Thyroid. 25(2). 188–197. 28 indexed citations

16.

Pförtner, Henrike, Juliane Wagner, Kristin Surmann, et al.. (2013). A proteomics workflow for quantitative and time-resolved analysis of adaptation reactions of internalized bacteria. Methods. 61(3). 244–250. 25 indexed citations

17.

Mehta, Divya, Katharina Heim, Christian Herder, et al.. (2012). Impact of common regulatory single-nucleotide variants on gene expression profiles in whole blood. European Journal of Human Genetics. 21(1). 48–54. 25 indexed citations

18.

Michalik, Stephan, Jörg Bernhardt, Andreas Otto, et al.. (2012). Life and Death of Proteins: A Case Study of Glucose-starved Staphylococcus aureus. Molecular & Cellular Proteomics. 11(9). 558–570. 37 indexed citations

19.

Jehmlich, Nico, Elke Hammer, Leif Steil, et al.. (2012). Quantitative analysis of the intra‐ and inter‐subject variability of the whole salivary proteome. Journal of Periodontal Research. 48(3). 392–403. 33 indexed citations

20.

Haring, Robin, Florian Ernst, Claudia Schurmann, et al.. (2011). The androgen receptor CAG repeat polymorphism as a risk factor of low serum testosterone and its cardiometabolic effects in men. International Journal of Andrology. 35(4). 511–520. 22 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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