Martina Maritan

1.1k citations
17 papers · 693 indexed · 1 hit paper · h-index 8
Topics
Protein Structure and Dynamics (6 papers)Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers)Alzheimer's disease research and treatments (3 papers)
Partner nations
ItalyUnited StatesJapan

In The Last Decade

Martina Maritan

16 papers receiving 690 citations

Hit Papers

Moltemplate: A Tool for Coarse-Grained Modeling of Comple...20212026202220242021100200300

Peers

Martina Maritan
Comparison fields: 5 of 110
  • Molecular Biology 312
  • Materials Chemistry 129
  • Physiology 94
  • Electrical and Electronic Engineering 86
  • Biomedical Engineering 84
Replace Ravi Gaikwad with:
Ravi Gaikwad United States
William F. Heinz United States
Ellina Mikhailova United Kingdom
Dmitry A. Markov United States
E. V. Shashkov Russia
Julien Heuvingh France
Minsoung Rhee United States
Kenichi Umeda Japan
Sungyoung Choi South Korea
Akihisa Yamamoto Japan
Martina Maritan relative to Ravi Gaikwad United States Ravi Gaikwad's profile →
Citations per field
00.5×9.6×
Ravi Gaikwad · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 3
3 4
4
Moltemplate: A Tool for Coarse-Grained Modeling of Complex Biological Matter and Soft Condensed Matter Physicsbreakdown →
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

About Martina Maritan

Martina Maritan is a scholar working on Structural Biology, Microbiology and Biophysics, having authored 17 papers that have together received 693 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Structural Biology (12 citations), Polymers and Plastics (64 citations) and Molecular Biology (312 citations). Martina Maritan has collaborated with scholars based in Italy, United States and Japan. Frequent 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. Their work appears in journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

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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