Nilo Lambruschini
Impact in
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
- Biochemistry top 5%
- Biochemical Acid Research Studies
- Amino Acid Enzymes and Metabolism
Papers in
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- Metabolism and Genetic Disorders 23
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- Mitochondrial Function and Pathology 11
- Coenzyme Q10 studies and effects 4
- Co-authors
- Rafael Artuch (18 shared papers)Jaume Campistol (11 shared papers)MA Vilaseca (5 shared papers)Josep M. Campistol (9 shared papers)Francisco José Cambra Lasaosa (7 shared papers)Belén Pérez‐Dueñas (7 shared papers)Cristina Sierra (6 shared papers)Rosa Gassió (4 shared papers)
In The Last Decade
Nilo Lambruschini
32 papers receiving 867 citations
Peers
Comparison fields: 5 of 71
- Clinical Biochemistry 661
- Biochemistry 139
- Rheumatology 201
- Physiology 338
- Molecular Biology 479
Countries citing papers authored by Nilo Lambruschini
This map shows the geographic impact of Nilo Lambruschini'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 Nilo Lambruschini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilo Lambruschini more than expected).
Fields of papers citing papers by Nilo Lambruschini
This network shows the impact of papers produced by Nilo Lambruschini. 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 Nilo Lambruschini. The network helps show where Nilo Lambruschini may publish in the future.
Co-authors
The 25 scholars most cited alongside Nilo Lambruschini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 81 | |
| 2 | 2013 | 61 | |
| 3 | 2003 | 59 | |
| 4 | 1998 | 59 | |
| 5 | 2003 | 57 | |
| 6 | 1998 | 56 | |
| 7 | 2003 | 54 | |
| 8 | 1999 | 51 | |
| 9 | 2002 | 46 | |
| 10 | 2004 | 41 | |
| 11 | Quality of dietary control in phenylketonuric patients and its relationship with general intelligence. | 2010 | 38 |
| 12 | 1999 | 28 | |
| 13 | 2001 | 28 | |
| 14 | 2005 | 28 | |
| 15 | 2001 | 25 | |
| 16 | 1998 | 23 | |
| 17 | 1993 | 21 | |
| 18 | 2002 | 18 | |
| 19 | 2005 | 18 | |
| 20 | 2009 | 17 |
About Nilo Lambruschini
Nilo Lambruschini is a scholar working on Clinical Biochemistry, Molecular Biology, Biochemistry, Rheumatology and Physiology, having authored 33 papers that have together received 889 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (23 papers), Mitochondrial Function and Pathology (11 papers), Folate and B Vitamins Research (7 papers), Amino Acid Enzymes and Metabolism (6 papers), Diet and metabolism studies (6 papers), Biochemical Acid Research Studies (4 papers), Coenzyme Q10 studies and effects (4 papers) and Alcoholism and Thiamine Deficiency (3 papers). The work is most often cited by research in Clinical Biochemistry (661 citations), Biochemistry (139 citations), Rheumatology (201 citations), Physiology (338 citations) and Molecular Biology (479 citations). Nilo Lambruschini has collaborated with scholars based in Spain, Portugal and Japan. Frequent co-authors include Rafael Artuch, Jaume Campistol, MA Vilaseca, Josep M. Campistol, Francisco José Cambra Lasaosa, Belén Pérez‐Dueñas, Cristina Sierra, Rosa Gassió, Catrina Colomé and María Antònia Vilaseca. Their work appears in journals such as Clinical Biochemistry, Journal of Inherited Metabolic Disease, Molecular Genetics and Metabolism, European Journal of Clinical Nutrition and American Journal of Clinical Nutrition.
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.