Maria Laura Manca
- Molecular Biology
- Neurology top 2%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 10%
- Co-authors
- Luigi MurriGabriele SicilianoAlfonso IudiceMichelangelo MancusoEnrica BonanniMichelangelo MaestriAntonio PaparelliFrancesco Fornai
- Topics
- Mitochondrial Function and Pathology (13 papers)Genetic Neurodegenerative Diseases (11 papers)Systemic Lupus Erythematosus Research (9 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismDiabetes Care
- Partner nations
- ItalyUnited StatesSweden
In The Last Decade
Maria Laura Manca
77 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 623
- Neurology 621
- Physiology 364
- Cellular and Molecular Neuroscience 295
- Epidemiology 258
Countries citing papers authored by Maria Laura Manca
This map shows the geographic impact of Maria Laura Manca'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 Maria Laura Manca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Laura Manca more than expected).
Fields of papers citing papers by Maria Laura Manca
This network shows the impact of papers produced by Maria Laura Manca. 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 Maria Laura Manca. The network helps show where Maria Laura Manca may publish in the future.
Co-authorship network of co-authors of Maria Laura Manca
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Laura Manca. A scholar is included among the top collaborators of Maria Laura Manca based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria Laura Manca. Maria Laura Manca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 44 | |
| 10 | 86 | |
| 11 | 7 | |
| 12 | 18 | |
| 13 | 427 | |
| 14 | 35 | |
| 15 | 31 | |
| 16 | 29 | |
| 17 | 43 | |
| 18 | Alteration of lactate production during incremental excercise in myotonic dystrophy is not dependent by catecholamine increase | 1 |
| 19 | Altered lactate kinetics from exercising muscle in Hereditary Spastic Paraplegia. | 1 |
| 20 | 36 |
About Maria Laura Manca
Maria Laura Manca is a scholar working on Neurology, Rheumatology and Cellular and Molecular Neuroscience, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (13 papers), Genetic Neurodegenerative Diseases (11 papers) and Systemic Lupus Erythematosus Research (9 papers). The work is most often cited by research in Neurology (621 citations), Biological Psychiatry (50 citations) and Ophthalmology (172 citations). Maria Laura Manca has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Luigi Murri, Gabriele Siciliano, Alfonso Iudice, Michelangelo Mancuso, Enrica Bonanni, Michelangelo Maestri, Antonio Paparelli, Francesco Fornai, Gloria Tognoni and Stefano Ruggieri. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.