Marina Naldi

2.0k citations
73 papers · 1.5k indexed · h-index 24
Topics
Cholinesterase and Neurodegenerative Diseases (19 papers)Computational Drug Discovery Methods (14 papers)Alzheimer's disease research and treatments (14 papers)
Partner nations
ItalySpainUnited Kingdom

In The Last Decade

Marina Naldi

72 papers receiving 1.5k citations

Peers

Marina Naldi
Comparison fields: 5 of 114
  • Molecular Biology 606
  • Pharmacology 352
  • Physiology 278
  • Organic Chemistry 228
  • Computational Theory and Mathematics 228
Replace Maria Giovanna Chini with:
Maria Giovanna Chini Italy
Angela De Simone Italy
John F. Gilmer Ireland
Liang‐Shang Gan United States
Jean‐Paul Tillement France
Sahil Sharma India
Preet Mohinder Singh Bedi India
Hai‐Shu Lin Singapore
Zhanying Hong China
Ariel D. Quiroga Argentina
Marina Naldi relative to Maria Giovanna Chini Italy Maria Giovanna Chini's profile →
Citations per field
00.5×2.6×
Maria Giovanna Chini · 1×
Citations per year

Countries citing papers authored by Marina Naldi

Since Specialization
Citations

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

Fields of papers citing papers by Marina Naldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Naldi

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Naldi. A scholar is included among the top collaborators of Marina Naldi 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 Marina Naldi. Marina Naldi 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 2
2 2
3 19
4 12
5 6
6 8
7 12
8 50
9 8
10 39
11 56
12 7
13 47
14 5
15 3
16 15
17 2
18 10
19 24
20 6

About Marina Naldi

Marina Naldi is a scholar working on Pharmacology, Computational Theory and Mathematics and Hepatology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (19 papers), Computational Drug Discovery Methods (14 papers) and Alzheimer's disease research and treatments (14 papers). The work is most often cited by research in Hepatology (168 citations), Pharmacology (352 citations) and Computational Theory and Mathematics (228 citations). Marina Naldi has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Manuela Bartolini, Vincenza Andrisano, Jessica Fiori, Maurizio Baldassarre, Carlo Bertucci, Marco Domenicali, Paolo Caraceni, Angela De Simone, Mauro Bernardi and F.A. Giannone. Their work appears in journals such as Hepatology, Biochemistry 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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