P.-M. Sinet

1.6k citations
27 papers · 1.4k indexed · h-index 18

P.-M. Sinet

26 papers receiving 1.3k citations

Peers

P.-M. Sinet
Comparison fields: 5 of 111
  • Biochemistry 127
  • Biological Psychiatry 38
  • Nutrition and Dietetics 221
  • Clinical Biochemistry 73
  • Physiology 249
Replace Letizia Palomba with:
Letizia Palomba Italy
Daniela Ortiz United States
Rainer Fried United States
Marcos Luiz Santos Perry Brazil
Juanita Bustamante Argentina
Maria Sapienza Italy
Antonio Iradi Spain
F. Cattabeni Italy
Alain Minn France
Lothar Kußmaul Germany
P.-M. Sinet relative to Letizia Palomba Italy Letizia Palomba's profile →
Citations per field
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Letizia Palomba · 1×
Citations per year

Countries citing papers authored by P.-M. Sinet

Since Specialization
Citations

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

Fields of papers citing papers by P.-M. Sinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.-M. Sinet. 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 P.-M. Sinet. The network helps show where P.-M. Sinet may publish in the future.

Co-authorship network

The 25 scholars most cited alongside P.-M. Sinet, 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 P.-M. Sinet Line = papers co-authored together P.-M. Sinet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200469
2 20002
3 19995
4 199710
5 199520
6 19952
7
Molecular mapping of 21 features associated with partial monosomy 21: involvement of the APP-SOD1 region.
199566
8 19930
9 199324
10 199313
11 199132
12 199181
13 199132
14
Slot blot method for the quantification of DNA sequences and mapping of chromosome rearrangements: application to chromosome 21.
199017
15 198918
16 198880
17 1983160
18 198122
19 1980178
20 1980114

About P.-M. Sinet

P.-M. Sinet is a scholar working on Aging, Electrochemistry and Biochemistry, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (7 papers), Mitochondrial Function and Pathology (5 papers), Alzheimer's disease research and treatments (5 papers), Congenital heart defects research (4 papers), Down syndrome and intellectual disability research (3 papers), Genomics and Rare Diseases (3 papers), Glutathione Transferases and Polymorphisms (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Biochemistry (127 citations), Biological Psychiatry (38 citations) and Nutrition and Dietetics (221 citations). P.-M. Sinet has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Gerald Cohen, Richard E. Heikkila, Annie Nicole, I. Ceballos, J Lejeune, H Jérôme, A.M. Michelson, P. Kamoun, Jean‐Louis Blouin and Jean‐Maurice Delabar. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genomics, Redox Report, European Journal of Human Genetics and Brain Research.

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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