Martina Maritan

1.1k total citations · 1 hit paper
17 papers, 693 citations indexed

About

Martina Maritan is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Martina Maritan has authored 17 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Martina Maritan's work include Protein Structure and Dynamics (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers) and Alzheimer's disease research and treatments (3 papers). Martina Maritan is often cited by papers focused on Protein Structure and Dynamics (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers) and Alzheimer's disease research and treatments (3 papers). Martina Maritan collaborates with scholars based in Italy, United States and Japan. Martina Maritan's co-authors include Ludovic Autin, David S. Goodsell, Joan–Emma Shea, Remus T. Dame, David Stelter, Shyam M. Saladi, T. Keyes, Grant J. Jensen, Saeed Momeni Bashusqeh and Otello Maria Roscioni and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Martina Maritan

16 papers receiving 690 citations

Hit Papers

Moltemplate: A Tool for Coarse-Grained Modeling of Comple... 2021 2026 2022 2024 2021 100 200 300

Peers

Martina Maritan
Comparison fields: 5 of 110
  • Molecular Biology 312
  • Materials Chemistry 129
  • Physiology 94
  • Electrical and Electronic Engineering 86
  • Biomedical Engineering 84
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Citations per field, relative to Martina Maritan
Martina Maritan · 1×
Citations per year, relative to Martina Maritan
Martina Maritan · 1×

Countries citing papers authored by Martina Maritan

Since Specialization
Citations

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

Fields of papers citing papers by Martina Maritan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Maritan

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Maritan. A scholar is included among the top collaborators of Martina Maritan 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 Martina Maritan. Martina Maritan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 3
3 4
4
Moltemplate: A Tool for Coarse-Grained Modeling of Complex Biological Matter and Soft Condensed Matter Physics breakdown →
339
5 40
6 19
7 6
8 22
9 119
10 4
11 31
12 4
13 7
14 5
15 56
16 3
17 31

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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