G. De Michele

10 papers receiving 136 citations

Peers

G. De Michele
Comparison fields: 5 of 45
  • Molecular Biology 77
  • Cellular and Molecular Neuroscience 67
  • Endocrinology, Diabetes and Metabolism 26
  • Reproductive Medicine 23
  • Endocrine and Autonomic Systems 15
Replace G. A. Rinard with:
G. A. Rinard United States
Judith M.B. Pinto United States
Paola Marchi Italy
Iris A. Horst United States
Ayako Mizoguchi‐Miyakita Japan
Timothy Barnes United Kingdom
Keiko Oga Japan
Alexandra M Huffman United States
Alan W. Spannagel United States
Yuling Tian China
G. De Michele relative to G. A. Rinard United States G. A. Rinard's profile →
Citations per field
00.5×1.5×2.3×
G. A. Rinard · 1×
Citations per year

Countries citing papers authored by G. De Michele

Since Specialization
Citations

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

Fields of papers citing papers by G. De Michele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. De Michele. 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 G. De Michele. The network helps show where G. De Michele may publish in the future.

Co-authorship network of co-authors of G. De Michele

This figure shows the co-authorship network connecting the top 25 collaborators of G. De Michele. A scholar is included among the top collaborators of G. De Michele 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 G. De Michele. G. De Michele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3 31
4 8
5 22
6
Effects of 1-methyl-4-phenylpiridinium ion on mitochondrial metabolism in frog brain
1
7
Serum vitamin E in inherited ataxias.
4
8 50
9 1
10 1
11
Plasma lipoprotein concentration and erythrocyte membrane lipids in patients with Friedreich's ataxia.
9
12 3
13 14
14
[Urinary elimination of 17-ketosteroids in pulmonary tuberculosis; relation to the reactive aptitude of the organism].
1

About G. De Michele

G. De Michele is a scholar working on Geriatrics and Gerontology, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 14 papers that have together received 145 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (2 papers) and Medicinal Plants and Neuroprotection (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (67 citations), Reproductive Medicine (23 citations) and Endocrine and Autonomic Systems (15 citations). G. De Michele has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include A. Barbeau, F.B. Jolicoeur, S. St‐Pierre, D Colantonio, R Casale, Patrizio Pasqualetti, E Catena, Vincent des Portes, Éléonore Eymard-Pierre and Angela F. Brady. Their work appears in journals such as Neurology, Neuroscience & Biobehavioral Reviews and Life Sciences.

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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