C. Müller‐Reible

741 total citations
20 papers, 502 citations indexed

About

C. Müller‐Reible is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, C. Müller‐Reible has authored 20 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in C. Müller‐Reible's work include Muscle Physiology and Disorders (8 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Genomics and Rare Diseases (4 papers). C. Müller‐Reible is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Genomics and Rare Diseases (4 papers). C. Müller‐Reible collaborates with scholars based in Germany, United Kingdom and United States. C. Müller‐Reible's co-authors include Johannes Oldenburg, Matthias Watzka, Milka Marinova, Jörg Schröder, Edward G. D. Tuddenham, H.‐H. Brackmann, R. Schwaab, Andreas Fregin, Christof Geisen and Carville G. Bevans and has published in prestigious journals such as Nucleic Acids Research, Blood and Anesthesiology.

In The Last Decade

C. Müller‐Reible

20 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Müller‐Reible Germany 9 218 114 103 87 75 20 502
Sisi Marcondes Brazil 12 165 0.8× 97 0.9× 33 0.3× 8 0.1× 28 0.4× 25 595
Jean‐Brice Marteau France 11 160 0.7× 15 0.1× 31 0.3× 59 0.7× 36 0.5× 20 482
Eduardo Mascareno United States 16 405 1.9× 17 0.1× 40 0.4× 28 0.3× 18 0.2× 28 765
Leonardo Gómez Rosso Argentina 15 117 0.5× 43 0.4× 45 0.4× 14 0.2× 16 0.2× 39 565
Shaojian An United States 7 225 1.0× 13 0.1× 49 0.5× 21 0.2× 16 0.2× 10 454
Yukihiro Higashiyama Japan 8 241 1.1× 35 0.3× 45 0.4× 11 0.1× 10 0.1× 13 573
Platon Peristeris Greece 6 164 0.8× 28 0.2× 39 0.4× 18 0.2× 12 0.2× 12 437
K A Chandrabose United States 8 135 0.6× 20 0.2× 42 0.4× 32 0.4× 14 0.2× 11 418
Chongyou Lee China 13 320 1.5× 40 0.4× 28 0.3× 16 0.2× 11 0.1× 28 588
Sonia Zambrano Sweden 12 198 0.9× 18 0.2× 36 0.3× 13 0.1× 13 0.2× 19 578

Countries citing papers authored by C. Müller‐Reible

Since Specialization
Citations

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

Fields of papers citing papers by C. Müller‐Reible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Müller‐Reible. 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 C. Müller‐Reible. The network helps show where C. Müller‐Reible may publish in the future.

Co-authorship network of co-authors of C. Müller‐Reible

This figure shows the co-authorship network connecting the top 25 collaborators of C. Müller‐Reible. A scholar is included among the top collaborators of C. Müller‐Reible 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 C. Müller‐Reible. C. Müller‐Reible 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.
Pechmann, Astrid, Simone Thiele, Maggie C. Walter, et al.. (2019). De-duplicating patient records from three independent data sources reveals the incidence of rare neuromuscular disorders in Germany. Orphanet Journal of Rare Diseases. 14(1). 152–152. 17 indexed citations
2.
Bauer, Peter, Dieter Gläser, C. Müller‐Reible, et al.. (2018). German Guidelines for Molecular Genetic Diagnostic Testing Using High-throughput Technology, Such As Next-Generation Sequencing. 2(2). 1–9. 3 indexed citations
3.
Rost, Simone, et al.. (2017). The Genetic Approach: Next-Generation Sequencing-Based Diagnosis of Congenital and Infantile Myopathies/Muscle Dystrophies. Neuropediatrics. 48(4). 242–246. 11 indexed citations
4.
Walter, Maggie C., Peter Reilich, Simone Thiele, et al.. (2013). Treatment of dysferlinopathy with deflazacort: a double-blind, placebo-controlled clinical trial. Orphanet Journal of Rare Diseases. 8(1). 26–26. 78 indexed citations
5.
Benet‐Pagès, Anna, Sebastian Eck, Marius Kuhn, et al.. (2013). Applications and data analysis of next-generation sequencing. LaboratoriumsMedizin. 37(6). 305–315. 4 indexed citations
6.
Jordan, Berit, C. Müller‐Reible, & S. Zierz. (2011). Fazioskapulohumerale Muskeldystrophie. Der Nervenarzt. 82(6). 712–722. 1 indexed citations
7.
Schwarz, Roland F., Sven Rahmann, Christoph Schoen, et al.. (2009). Detecting species-site dependencies in large multiple sequence alignments. Nucleic Acids Research. 37(18). 5959–5968. 11 indexed citations
8.
Grimm, T., et al.. (2009). Muskeldystrophien Duchenne und Becker. Medizinische Genetik. 21(3). 327–331. 1 indexed citations
9.
Schuster, Frank & C. Müller‐Reible. (2009). Maligne Hyperthermie – Diagnostik, Therapie und Narkoseführung. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 44(11/12). 758–764. 8 indexed citations
10.
Müller‐Reible, C., et al.. (2009). Molekulargenetische Diagnostik der Myopathien. Aktuelle Neurologie. 36(5). 247–251. 1 indexed citations
11.
Pavlova, Anna, Daniel Delev, Jörg Schröder, et al.. (2008). Heterozygous large deletions of Factor 8 gene in females identified by multiplex PCR‐LC. Haemophilia. 14(3). 599–606. 5 indexed citations
12.
Oldenburg, Johannes, Milka Marinova, C. Müller‐Reible, & Matthias Watzka. (2008). The Vitamin K Cycle. Vitamins and hormones. 35–62. 130 indexed citations
13.
Oldenburg, Johannes, Simone Rost, H. Seidel, Matthias Watzka, & C. Müller‐Reible. (2008). Pharmakogenetik der oralen Antikoagulation mit Cumarinen. Medizinische Genetik. 20(2). 230–235. 2 indexed citations
14.
Bevans, Carville G., Andreas Fregin, Christof Geisen, et al.. (2007). Current pharmacogenetic developments in oral anticoagulation therapy: The influence of variant VKORC1 and CYP2C9 alleles. Thrombosis and Haemostasis. 98(9). 570–578. 60 indexed citations
15.
16.
Hanisch, F., et al.. (2006). P.P.6 03 Incidence of 550delA in the CAPN3 gene in German patients with limb-girdle muscular dystrophy and hyperCKemia. Neuromuscular Disorders. 16(9-10). 694–695. 1 indexed citations
17.
Hagen, Maja von der, Angela M. Kaindl, Katrin Koehler, et al.. (2005). Facing the genetic heterogeneity in neuromuscular disorders: Linkage analysis as an economic diagnostic approach towards the molecular diagnosis. Neuromuscular Disorders. 16(1). 4–13. 16 indexed citations
18.
Oldenburg, Johannes, Simone Rost, Andreas Fregin, et al.. (2004). Mutations in the VKORC1 Gene Cause Warfarin Resistance, Warfarin Sensitivity and Combined Deficiency of Vitamin K Dependent Coagulation Factors.. Blood. 104(11). 277–277. 1 indexed citations
19.
Oldenburg, Johannes, Jörg Schröder, H.‐H. Brackmann, et al.. (2004). Environmental and genetic factors influencing inhibitor development. Seminars in Hematology. 41(1 Suppl 1). 82–88. 119 indexed citations
20.
Fricker, Ruth, Thomas Raffelsberger, Josef Finsterer, et al.. (2002). Positive Malignant Hyperthermia Susceptibility In Vitro  Test in a Patient with Mitochondrial Myopathy and Myoadenylate Deaminase Deficiency. Anesthesiology. 97(6). 1635–1637. 30 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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