D. C. DeVivo

2.1k citations
28 papers · 1.6k indexed · h-index 21

Impact in

Papers in

D. C. DeVivo

28 papers receiving 1.6k citations

Peers

D. C. DeVivo
Comparison fields: 5 of 94
  • Clinical Biochemistry 831
  • Neurology 235
  • Physiology 365
  • Molecular Biology 961
  • Cellular and Molecular Neuroscience 238
Replace E. Bonilla with:
E. Bonilla United States
Roser Pons Greece
Katherine B. Howell Australia
Marco Sparaco Italy
Tina D. Jeppesen Denmark
Etsuo Naito Japan
Irina Anselm United States
Susanna Scafidi United States
P. L. Peterson United States
Yu Okuma Japan
D. C. DeVivo relative to E. Bonilla United States E. Bonilla's profile →
Citations per field
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E. Bonilla · 1×
Citations per year

Countries citing papers authored by D. C. DeVivo

Since Specialization
Citations

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

Fields of papers citing papers by D. C. DeVivo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992381
2 1974132
3 1988122
4 199891
5 199586
6 199082
7 199275
8
MR findings in patients with subacute necrotizing encephalomyelopathy (Leigh syndrome): correlation with biochemical defect.
199066
9 197563
10
Clinical syndromes associated with ragged red fibers.
199161
11 199057
12 198755
13 197044
14 199842
15 198338
16 199135
17 197330
18 200230
19 198823
20
Benign infantile mitochondrial myopathy due to reversible cytochrome c oxidase deficiency.
198122

About D. C. DeVivo

D. C. DeVivo is a scholar working on Clinical Biochemistry, Neurology, Endocrinology, Diabetes and Metabolism, Biochemistry and Physiology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (18 papers), Mitochondrial Function and Pathology (10 papers), Diet and metabolism studies (6 papers), ATP Synthase and ATPases Research (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Diet, Metabolism, and Disease (3 papers), RNA regulation and disease (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Clinical Biochemistry (831 citations), Neurology (235 citations), Physiology (365 citations), Molecular Biology (961 citations) and Cellular and Molecular Neuroscience (238 citations). D. C. DeVivo has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include D. Barry Appleton, S. DiMauro, Eric A. Schon, Harish C. Agrawal, Sara Shanske, E. Bonilla, Mary P. Leckie, S. K. Hilal, Luis D. Medina and Sergio Piomelli. Their work appears in journals such as Journal of Inherited Metabolic Disease, Neurology, Stroke, Journal of Neurochemistry and Neuroscience.

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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