Diane Tabarini

902 citations
10 papers · 752 · h-index 8

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • Biochemical and Molecular Research 2
    • Mitochondrial Function and Pathology 1

Diane Tabarini

10 papers receiving 737 citations

Peers

Diane Tabarini
Comparison fields: 5 of 87
  • Aging 74
  • Cellular and Molecular Neuroscience 163
  • Physiology 162
  • Molecular Biology 432
  • Genetics 57
Replace Mathieu Miron with:
Mathieu Miron Canada
Noriko Yasuhara Japan
Dennis Van Hoof Netherlands
Pascale Labrecque Canada
S. Ahn South Korea
Elena Zelin United States
Marcello Maresca Sweden
Jan H. Reiling Germany
Svetlana Lyapina United States
Michael Polymenis United States
Diane Tabarini relative to Mathieu Miron Canada Mathieu Miron's profile →
Citations per field
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Citations per year

Countries citing papers authored by Diane Tabarini

Since Specialization
Citations

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

Fields of papers citing papers by Diane Tabarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane Tabarini. 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 Diane Tabarini. The network helps show where Diane Tabarini may publish in the future.

Co-authors

The 18 scholars most cited alongside Diane Tabarini, 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 Diane Tabarini Line = papers co-authored together Diane Tabarini links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1995275
2 1997172
3 1985143
4 198767
5 198536
6 201619
7 198617
8 201317
9 19805
10
Loss of Heterozygosity Analysis at selected Single Nucleotide Polymorphism Sites in the Intronic Regions of PAX7 via In Silico Biology and Microsatelite Analysis
20061

About Diane Tabarini

Diane Tabarini is a scholar working on Molecular Biology, Surgery, Genetics, Cellular and Molecular Neuroscience and General Health Professions, having authored 10 papers that have together received 752 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Biochemical and Molecular Research (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper), Research, Science, and Academia (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Enzyme Structure and Function (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Aging (74 citations), Cellular and Molecular Neuroscience (163 citations), Physiology (162 citations), Molecular Biology (432 citations) and Genetics (57 citations). Diane Tabarini has collaborated with scholars based in United States. Frequent co-authors include Julia Heinrich, Manfred Frasch, Joseph Schlessinger, Rafael Fernández, Natalia Azpiazu, O M Rosen, Lucio Luzzatto, Amelia Cimmino, Rosario Notaro and Bruno Rotoli. Their work appears in journals such as Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Journal of Biomolecular Techniques JBT, European Journal of Biochemistry and The EMBO Journal.

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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