D. C. DeVivo

2.1k citations
27 papers · 1.8k · h-index 21

Impact in

Papers in

D. C. DeVivo

27 papers receiving 1.6k citations

Peers

D. C. DeVivo
Comparison fields: 5 of 91
  • Clinical Biochemistry 805
  • Neurology 232
  • Physiology 390
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 242
Replace E. Bonilla with:
E. Bonilla United States
Roser Pons Greece
Marco Sparaco Italy
Katherine B. Howell Australia
Ramin A. Behmand United States
A. M. Mans United States
P. L. Peterson United States
Tina D. Jeppesen Denmark
Irina Anselm United States
Andreea Nissenkorn Israel
D. C. DeVivo relative to E. Bonilla United States E. Bonilla's profile →
Citations per field
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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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992413
2 1974144
3 1988134
4 1998109
5 199596
6 199083
7 199276
8
MR findings in patients with subacute necrotizing encephalomyelopathy (Leigh syndrome): correlation with biochemical defect.
199076
9
Clinical syndromes associated with ragged red fibers.
199171
10 199069
11 198765
12 197565
13 197051
14 198344
15 199843
16 199135
17 197333
18 198824
19
Benign infantile mitochondrial myopathy due to reversible cytochrome c oxidase deficiency.
198124
20 197323

About D. C. DeVivo

D. C. DeVivo is a scholar working on Clinical Biochemistry, Molecular Biology, Physiology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (16 papers), Mitochondrial Function and Pathology (9 papers), Diet and metabolism studies (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), ATP Synthase and ATPases Research (3 papers), Diet, Metabolism, and Disease (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Clinical Biochemistry (805 citations), Neurology (232 citations), Physiology (390 citations), Molecular Biology (1.0k citations) and Cellular and Molecular Neuroscience (242 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, E. Bonilla, Sara Shanske, Mary P. Leckie, S. K. Hilal, Luis D. Medina and J.P. Mohr. Their work appears in journals such as Journal of Inherited Metabolic Disease, Neurology, Stroke, Journal of Neurochemistry and Epilepsia.

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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