Marzia Pasquali

7.0k citations
148 papers · 4.2k indexed · 1 hit paper · h-index 32
Topics
Metabolism and Genetic Disorders (62 papers)Parathyroid Disorders and Treatments (36 papers)Mitochondrial Function and Pathology (23 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Marzia Pasquali

141 papers receiving 4.1k citations

Hit Papers

Carnitine transport and fatty acid oxidation20162026201920222016200400600

Peers

Marzia Pasquali
Comparison fields: 5 of 139
  • Molecular Biology 1.8k
  • Clinical Biochemistry 1.4k
  • Physiology 881
  • Nephrology 607
  • Rheumatology 443
Replace Yasushi Tanaka with:
Yasushi Tanaka Japan
Hanna E. Abboud United States
Ruud Berger Netherlands
Seiichiro Tarui Japan
Seok Ho South Korea
C. Bachmann Switzerland
Naohiko Anzai Japan
Youfei Guan China
Alessandra Perna Italy
M. Durán Netherlands
Marzia Pasquali relative to Yasushi Tanaka Japan Yasushi Tanaka's profile →
Citations per field
00.5×3.0×
Yasushi Tanaka · 1×
Citations per year

Countries citing papers authored by Marzia Pasquali

Since Specialization
Citations

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

Fields of papers citing papers by Marzia Pasquali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marzia Pasquali

This figure shows the co-authorship network connecting the top 25 collaborators of Marzia Pasquali. A scholar is included among the top collaborators of Marzia Pasquali 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 Marzia Pasquali. Marzia Pasquali 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
#WorkIndexed citations
1 0
2 6
3 0
4 3
5 1
6 1
7 3
8 0
9 5
10 8
11 8
12 59
13 4
14 22
15 28
16 32
17 40
18 66
19 10
20 54

About Marzia Pasquali

Marzia Pasquali is a scholar working on Clinical Biochemistry, Nephrology and Biochemistry, having authored 148 papers that have together received 4.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (62 papers), Parathyroid Disorders and Treatments (36 papers) and Mitochondrial Function and Pathology (23 papers). The work is most often cited by research in Clinical Biochemistry (1.4k citations), Nephrology (607 citations) and Biochemistry (349 citations). Marzia Pasquali has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Nicola Longo, Marta Frigeni, Cristina Amat Di San Filippo, Sandro Mazzaferro, Elisabeth L. Schwarz, William L. Roberts, Lida Tartaglione, Silverio Rotondi, Gary L. Hedlund and Sharon L. Ernst. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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