Norma Spécola
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
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- Diet and metabolism studies
- Lysosomal Storage Disorders Research
Papers in
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- Metabolism and Genetic Disorders 11
- Physiology 10
- Lysosomal Storage Disorders Research 5
- Diet and metabolism studies 5
- Co-authors
- Jean‐Paul Bonnefont (3 shared papers)Arnold Münnich (2 shared papers)H. Ogier (2 shared papers)Anne Lombès (2 shared papers)Jean Marie Saudubray (1 shared paper)Marion Paturneau-Jouas (1 shared paper)Anne Vassault (2 shared papers)J. B. C. de Klerk (1 shared paper)
In The Last Decade
Norma Spécola
19 papers receiving 334 citations
Peers
Comparison fields: 5 of 46
- Clinical Biochemistry 160
- Physiology 138
- Biochemistry 24
- Rheumatology 43
- Endocrinology, Diabetes and Metabolism 36
Countries citing papers authored by Norma Spécola
This map shows the geographic impact of Norma Spécola'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 Norma Spécola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norma Spécola more than expected).
Fields of papers citing papers by Norma Spécola
This network shows the impact of papers produced by Norma Spécola. 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 Norma Spécola. The network helps show where Norma Spécola may publish in the future.
Co-authors
The 25 scholars most cited alongside Norma Spécola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 109 | |
| 2 | 1989 | 38 | |
| 3 | 1990 | 31 | |
| 4 | 2005 | 29 | |
| 5 | 2019 | 20 | |
| 6 | 1988 | 20 | |
| 7 | 2020 | 17 | |
| 8 | 2010 | 14 | |
| 9 | 2022 | 10 | |
| 10 | 1998 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2017 | 5 | |
| 16 | 2022 | 3 | |
| 17 | MCAD deficiency. Acylcarnitines (AC) by tandem mass spectrometry (MS-MS) are useful to monitor dietary treatment. | 1999 | 2 |
| 18 | 2023 | 1 | |
| 19 | 2020 | 1 |
About Norma Spécola
Norma Spécola is a scholar working on Clinical Biochemistry, Physiology, Molecular Biology, Rheumatology and Neurology, having authored 19 papers that have together received 342 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (11 papers), Lysosomal Storage Disorders Research (5 papers), Diet and metabolism studies (5 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Folate and B Vitamins Research (2 papers), Trypanosoma species research and implications (2 papers), Mitochondrial Function and Pathology (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Clinical Biochemistry (160 citations), Physiology (138 citations), Biochemistry (24 citations), Rheumatology (43 citations) and Endocrinology, Diabetes and Metabolism (36 citations). Norma Spécola has collaborated with scholars based in Argentina, Brazil and France. Frequent co-authors include Jean‐Paul Bonnefont, Arnold Münnich, H. Ogier, Anne Lombès, Jean Marie Saudubray, Marion Paturneau-Jouas, Anne Vassault, J. B. C. de Klerk, Jean Aicardi and J. J. Chevrie. Their work appears in journals such as Journal of Inherited Metabolic Disease, European Journal of Pediatrics, Journal of Neurology Neurosurgery & Psychiatry, Neurology and Annals of Human Genetics.
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.