Giulia Murtas

25 papers receiving 453 citations

Peers

Giulia Murtas
Comparison fields: 5 of 77
  • Biochemistry 300
  • Biological Psychiatry 51
  • Clinical Biochemistry 116
  • Molecular Biology 282
  • Cellular and Molecular Neuroscience 53
Replace Tomoya Kawazoe with:
Tomoya Kawazoe Japan
Pamela Cappelletti Italy
Francesco Marchesani Italy
Artem V. Artiukhov Russia
Miyuki Wada Japan
Tanja Scherer Switzerland
U. Redweik Switzerland
Aaro J. Jalkanen Finland
Éva Schmidt Germany
Gaetano Calabrese Germany
Giulia Murtas relative to Tomoya Kawazoe Japan Tomoya Kawazoe's profile →
Citations per field
00.5×4.3×
Tomoya Kawazoe · 1×
Citations per year

Countries citing papers authored by Giulia Murtas

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Murtas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giulia Murtas, 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 Giulia Murtas Line = papers co-authored together Giulia Murtas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201883
2 202061
3 202143
4 202237
5 201830
6 201724
7 202322
8 201520
9 202117
10 202115
11 202115
12 202314
13 202313
14 202111
15 202110
16 20179
17 20238
18 20235
19 20195
20 20204

About Giulia Murtas

Giulia Murtas is a scholar working on Biochemistry, Molecular Biology, Clinical Biochemistry, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 455 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (25 papers), Epigenetics and DNA Methylation (12 papers), Metabolism and Genetic Disorders (10 papers), Tryptophan and brain disorders (8 papers), Polyamine Metabolism and Applications (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Enzyme Structure and Function (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Biochemistry (300 citations), Biological Psychiatry (51 citations), Clinical Biochemistry (116 citations), Molecular Biology (282 citations) and Cellular and Molecular Neuroscience (53 citations). Giulia Murtas has collaborated with scholars based in Italy, United States and Bulgaria. Frequent co-authors include Loredano Pollegioni, Silvia Sacchi, Giorgia Letizia Marcone, Pamela Cappelletti, Luciano Piubelli, Mario Valentino, Gianluca Molla, Alessio Peracchi, Laura Caldinelli and Gabriella Tedeschi. Their work appears in journals such as Frontiers in Molecular Biosciences, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, FEBS Journal, International Journal of Molecular Sciences and Biomolecules.

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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