Denise Cassandrini

2.9k total citations
62 papers, 1.3k citations indexed

About

Denise Cassandrini is a scholar working on Molecular Biology, Rheumatology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Denise Cassandrini has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 12 papers in Rheumatology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Denise Cassandrini's work include Metabolism and Genetic Disorders (10 papers), Glycogen Storage Diseases and Myoclonus (10 papers) and Muscle Physiology and Disorders (9 papers). Denise Cassandrini is often cited by papers focused on Metabolism and Genetic Disorders (10 papers), Glycogen Storage Diseases and Myoclonus (10 papers) and Muscle Physiology and Disorders (9 papers). Denise Cassandrini collaborates with scholars based in Italy, United States and United Kingdom. Denise Cassandrini's co-authors include Filippo M. Santorelli, Claudio Bruno, Carlo Minetti, Federico Zara, Enrico Bertini, Chiara Fiorillo, Roberta Biancheri, C. Angelini, Marina Pedemonte and Andrea Rossi and has published in prestigious journals such as Neurology, Biochemical and Biophysical Research Communications and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Denise Cassandrini

61 papers receiving 1.3k citations

Peers

Denise Cassandrini
Comparison fields: 5 of 88
  • Molecular Biology 735
  • Rheumatology 315
  • Physiology 252
  • Clinical Biochemistry 228
  • Cellular and Molecular Neuroscience 222
Replace Christine Barnérias with:
Christine Barnérias France
Claudio Bruno Italy
Seiichi Tsujino Japan
Bruno Maranda Canada
Esther Leshinsky‐Silver Israel
Simon Hammans United Kingdom
Sandra R. Bacman United States
Nobuyoshi Fukuhara Japan
Gunter Scharer United States
Ivo Kremensky Bulgaria
Christine Barnérias France View profile →
Citations per field, relative to Denise Cassandrini
Denise Cassandrini · 1×
Citations per year, relative to Denise Cassandrini
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Countries citing papers authored by Denise Cassandrini

Since Specialization
Citations

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

Fields of papers citing papers by Denise Cassandrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denise Cassandrini

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 11
3 4
4 4
5 70
6 5
7 13
8 4
9 23
10 19
11 36
12 34
13 14
14 34
15 14
16 27
17 49
18 17
19 30
20 7

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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