Maria Lauda Tomasi

2.5k total citations
53 papers, 1.6k citations indexed

About

Maria Lauda Tomasi is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Maria Lauda Tomasi has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 13 papers in Oncology and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Maria Lauda Tomasi's work include Ubiquitin and proteasome pathways (16 papers), Liver Disease Diagnosis and Treatment (11 papers) and Folate and B Vitamins Research (9 papers). Maria Lauda Tomasi is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Liver Disease Diagnosis and Treatment (11 papers) and Folate and B Vitamins Research (9 papers). Maria Lauda Tomasi collaborates with scholars based in United States, Italy and Spain. Maria Lauda Tomasi's co-authors include Komal Ramani, Rosa M. Pascale, Francesco Feo, Maddalena Frau, Shelly C. Lu, Diego F. Calvisi, José M. Mato, Maria M. Simile, Sara Ladu and Maria A. Seddaiu and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and Hepatology.

In The Last Decade

Maria Lauda Tomasi

49 papers receiving 1.6k citations

Peers

Maria Lauda Tomasi
Comparison fields: 5 of 88
  • Molecular Biology 1.2k
  • Cancer Research 387
  • Oncology 302
  • Rheumatology 247
  • Epidemiology 234
Replace Maria M. Simile with:
Maria M. Simile Italy
Mercedes Vázquez–Chantada United Kingdom
Guizhi Yang China
Barbara A. French United States
Sara Ladu Italy
Josep M. Lluis Spain
Helen Moinova United States
Tamio Noguchi Japan
Yan Ding China
Laura M. López‐Sánchez Spain
Maria M. Simile Italy View profile →
Citations per field, relative to Maria Lauda Tomasi
Maria Lauda Tomasi · 1×
Citations per year, relative to Maria Lauda Tomasi
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Countries citing papers authored by Maria Lauda Tomasi

Since Specialization
Citations

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

Fields of papers citing papers by Maria Lauda Tomasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Lauda Tomasi. 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 Maria Lauda Tomasi. The network helps show where Maria Lauda Tomasi may publish in the future.

Co-authorship network of co-authors of Maria Lauda Tomasi

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Lauda Tomasi. A scholar is included among the top collaborators of Maria Lauda Tomasi 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 Maria Lauda Tomasi. Maria Lauda Tomasi 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 0
2 7
3 9
4 10
5 9
6 21
7 26
8 42
9 23
10 29
11 74
12 37
13 70
14 29
15 50
16 36
17 75
18 107
19 35
20 25

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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