Martina Pontone

38 total papers · 1.3k total citations
17 papers, 580 citations indexed

About

Martina Pontone is a scholar working on Infectious Diseases, Molecular Biology and Microbiology. According to data from OpenAlex, Martina Pontone has authored 17 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Molecular Biology and 4 papers in Microbiology. Recurrent topics in Martina Pontone's work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Martina Pontone is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Martina Pontone collaborates with scholars based in Italy, Malaysia and Spain. Martina Pontone's co-authors include Enea Gino Di Domenico, Ilaria Cavallo, Fabrizio Ensoli, Fulvia Pimpinelli, Luigi Toma, Aldo Morrone, Valentina Bordignon, Francesca Sivori, Elva Abril and Arianna Mastrofrancesco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Martina Pontone

17 papers receiving 573 citations

Hit Papers

Bacterial Biofilm in Chro... 2024 2026 2024 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Martina Pontone 192 166 113 72 65 17 580
Ioanna Spyridaki 159 0.8× 164 1.0× 67 0.6× 36 0.5× 31 0.5× 21 632
Rudolf R. Roth 80 0.4× 78 0.5× 75 0.7× 137 1.9× 24 0.4× 11 508
Mario Zucca 81 0.4× 175 1.1× 54 0.5× 112 1.6× 268 4.1× 18 683
Cristina Lopes 157 0.8× 218 1.3× 52 0.5× 52 0.7× 16 0.2× 20 517
Hiroyasu Koga 138 0.7× 142 0.9× 40 0.4× 218 3.0× 26 0.4× 26 537
Mark H. T. Stappers 152 0.8× 112 0.7× 31 0.3× 113 1.6× 213 3.3× 24 510
Rebecca Gabrilska 84 0.4× 249 1.5× 20 0.2× 69 1.0× 16 0.2× 14 650
W. Ehret 102 0.5× 174 1.0× 49 0.4× 105 1.5× 58 0.9× 48 597
Umut Gazi 98 0.5× 133 0.8× 26 0.2× 95 1.3× 216 3.3× 26 533
Meng Xun 90 0.5× 169 1.0× 35 0.3× 63 0.9× 81 1.2× 38 510

Countries citing papers authored by Martina Pontone

Since Specialization
Citations

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

Fields of papers citing papers by Martina Pontone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Pontone

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

All Works

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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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