Valeria Dall’Asta

3.8k citations
99 papers · 3.0k indexed · h-index 31
Topics
Amino Acid Enzymes and Metabolism (45 papers)Metabolism and Genetic Disorders (29 papers)Drug Transport and Resistance Mechanisms (11 papers)

In The Last Decade

Valeria Dall’Asta

99 papers receiving 3.0k citations

Peers

Valeria Dall’Asta
Comparison fields: 5 of 117
  • Molecular Biology 1.5k
  • Biochemistry 1.1k
  • Clinical Biochemistry 620
  • Oncology 458
  • Physiology 427
Replace Gian C. Gazzola with:
Gian C. Gazzola Italy
Hiromasa Tojo Japan
Shushi Nagamori Japan
Mariafrancesca Scalise Italy
Motasim Billah United States
H N Christensen United States
Maria Veiga‐da‐Cunha Belgium
Ilana Nissim United States
Jerry A. Schneider United States
Jane McHowat United States
Valeria Dall’Asta relative to Gian C. Gazzola Italy Gian C. Gazzola's profile →
Citations per field
00.5×2.8×
Gian C. Gazzola · 1×
Citations per year

Countries citing papers authored by Valeria Dall’Asta

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Dall’Asta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valeria Dall’Asta. 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 Valeria Dall’Asta. The network helps show where Valeria Dall’Asta may publish in the future.

Co-authorship network of co-authors of Valeria Dall’Asta

This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Dall’Asta. A scholar is included among the top collaborators of Valeria Dall’Asta 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 Valeria Dall’Asta. Valeria Dall’Asta 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 6
2 1
3 3
4 30
5 13
6 5
7 19
8 27
9 25
10 16
11 43
12 22
13 23
14 34
15 33
16 54
17 24
18 21
19 26
20 1

About Valeria Dall’Asta

Valeria Dall’Asta is a scholar working on Biochemistry, Clinical Biochemistry and Molecular Biology, having authored 99 papers that have together received 3.0k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (45 papers), Metabolism and Genetic Disorders (29 papers) and Drug Transport and Resistance Mechanisms (11 papers). The work is most often cited by research in Biochemistry (1.1k citations), Clinical Biochemistry (620 citations) and Molecular Biology (1.5k citations). Valeria Dall’Asta has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Gian C. Gazzola, Ovidio Bussolati, Guido Guidotti, R. Franchi‐Gazzola, Rossana Visigalli, Bianca Maria Rotoli, Amelia Barilli, Roberto Sala, Morris F. White and Rita Gatti. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Biochemistry.

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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