Stephen Cederbaum

1.7k citations
24 papers · 919 · h-index 17

Impact in

Papers in

    • Metabolism and Genetic Disorders 19
    • Mitochondrial Function and Pathology 9
    • Biochemical and Molecular Research 2
    • Peroxisome Proliferator-Activated Receptors 2

Stephen Cederbaum

24 papers receiving 884 citations

Peers

Stephen Cederbaum
Comparison fields: 5 of 85
  • Clinical Biochemistry 682
  • Biochemistry 119
  • Rheumatology 158
  • Physiology 270
  • Pediatrics, Perinatology and Child Health 164
Replace María Antònia Vilaseca with:
María Antònia Vilaseca Spain
Sara Boenzi Italy
Joy Yaplito‐Lee Australia
Uta Lichter‐Konecki United States
Mübeccel Demirkol Türkiye
E. Mönch Germany
Jennifer R. Toone Canada
Dimitar Gavrilov United States
K. Narisawa Japan
K. Bartholomé Germany
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Cederbaum

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Cederbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Cederbaum, 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 Stephen Cederbaum Line = papers co-authored together Stephen Cederbaum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007141
2 2009112
3 201392
4 200672
5 200656
6 200746
7 200944
8 201440
9 200238
10 201235
11 201235
12 197035
13 200229
14 199129
15 201828
16 200824
17 201122
18 201316
19 199615
20 19715

About Stephen Cederbaum

Stephen Cederbaum is a scholar working on Clinical Biochemistry, Molecular Biology, Biochemistry, Genetics and Physiology, having authored 24 papers that have together received 919 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (19 papers), Mitochondrial Function and Pathology (9 papers), Amino Acid Enzymes and Metabolism (6 papers), Diet and metabolism studies (5 papers), Neonatal Health and Biochemistry (3 papers), Genomics and Rare Diseases (3 papers), Biochemical and Molecular Research (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Clinical Biochemistry (682 citations), Biochemistry (119 citations), Rheumatology (158 citations), Physiology (270 citations) and Pediatrics, Perinatology and Child Health (164 citations). Stephen Cederbaum has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Barbara K. Burton, Cary O. Harding, Dietrich Matern, Derek A. Wong, Nicola Longo, Jerry Vockley, Cheryl Garganta, Susan A. Berry, Georgianne L. Arnold and François Feillet. Their work appears in journals such as Molecular Genetics and Metabolism, Journal of Inherited Metabolic Disease, The Journal of Pediatrics, American Journal of Hematology and Current Opinion in Pediatrics.

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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