D. Scheible

661 citations
9 papers · 166 indexed · h-index 6
Topics
Metabolism and Genetic Disorders (9 papers)Genomics and Rare Diseases (4 papers)Diet and metabolism studies (4 papers)

In The Last Decade

D. Scheible

9 papers receiving 160 citations

Peers

D. Scheible
Comparison fields: 5 of 37
  • Clinical Biochemistry 135
  • Molecular Biology 113
  • Physiology 69
  • Rheumatology 38
  • Pediatrics, Perinatology and Child Health 22
Replace A. van Teeffelen‐Heithoff with:
A. van Teeffelen‐Heithoff Germany
Alena Gerlinde Thiele Germany
Carlos Losilla Alcalde Spain
Marta K. Danecka Germany
Carmen Rohde Germany
Mónica Ruiz Spain
Femke Molema Netherlands
Yngve Thomas Bliksrud Norway
Detlef Knoll New Zealand
Natalie Weinhold Germany
D. Scheible relative to A. van Teeffelen‐Heithoff Germany A. van Teeffelen‐Heithoff's profile →
Citations per field
00.5×1.5×2.5×
A. van Teeffelen‐Heithoff · 1×
Citations per year

Countries citing papers authored by D. Scheible

Since Specialization
Citations

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

Fields of papers citing papers by D. Scheible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Scheible

This figure shows the co-authorship network connecting the top 25 collaborators of D. Scheible. A scholar is included among the top collaborators of D. Scheible 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 D. Scheible. D. Scheible 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
#WorkIndexed citations
1 14
2 23
3 8
4 52
5
www.ramedis.de: Database for long term follow up of patients with rare metabolic diseases
2
6 6
7 55
8
Supporting genotype-phenotype correlation with the rare metabolic diseases database Ramedis.
5
9
RAMEDIS- rare metabolic diseases publishing tool for genotype-phenotype correlation.
1

About D. Scheible

D. Scheible is a scholar working on Clinical Biochemistry, Biochemistry and Physiology, having authored 9 papers that have together received 166 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (9 papers), Genomics and Rare Diseases (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Clinical Biochemistry (135 citations), Physiology (69 citations) and Rheumatology (38 citations). D. Scheible has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Friedrich K. Trefz, Nenad Blau, Ralf Hofestädt, Dorothea Haas, Martina Huemer, Brian Fowler, Matthias R. Baumgartner and Uwe Scholz. Their work appears in journals such as Human Mutation, Molecular Genetics and Metabolism and Journal of Inherited Metabolic Disease.

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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