M. Dal Susino

13 total papers · 1.1k total citations
10 papers, 967 citations indexed

About

M. Dal Susino is a scholar working on Oncology, Molecular Biology and Physiology. According to data from OpenAlex, M. Dal Susino has authored 10 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in M. Dal Susino's work include Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers) and Adenosine and Purinergic Signaling (3 papers). M. Dal Susino is often cited by papers focused on Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers) and Adenosine and Purinergic Signaling (3 papers). M. Dal Susino collaborates with scholars based in Italy and United States. M. Dal Susino's co-authors include Francesco Di Virgilio, Davide Ferrari, Simonetta Falzoni, Paola Chiozzi, Olavio R. Baricordi, Loredana Melchiorri, Gary Buell, Ginetta Collo, Wainer Zoli and Luca Ricotti and has published in prestigious journals such as The Journal of Immunology, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

M. Dal Susino

10 papers receiving 947 citations

Hit Papers

Extracellular ATP trigger... 1997 2026 2006 2016 1997 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
M. Dal Susino 625 263 232 148 146 10 967
Jeff M. Labasi 655 1.0× 280 1.1× 229 1.0× 97 0.7× 148 1.0× 6 946
Filip Kukulski 1.0k 1.7× 298 1.1× 180 0.8× 61 0.4× 131 0.9× 21 1.2k
Elisa Orioli 711 1.1× 407 1.5× 258 1.1× 101 0.7× 53 0.4× 21 1.2k
Marina Capece 756 1.2× 414 1.6× 212 0.9× 73 0.5× 54 0.4× 16 1.1k
Jussi Niemelä 553 0.9× 162 0.6× 259 1.1× 98 0.7× 41 0.3× 20 960
Stephen MacLennan 718 1.1× 460 1.7× 138 0.6× 126 0.9× 49 0.3× 19 1.1k
Anna Pegoraro 604 1.0× 280 1.1× 209 0.9× 68 0.5× 39 0.3× 22 865
Zsolt Selmeczy 520 0.8× 209 0.8× 326 1.4× 168 1.1× 42 0.3× 13 871
Anne N. Shemon 726 1.2× 266 1.0× 206 0.9× 31 0.2× 138 0.9× 16 1.0k
Alessia Franceschini 437 0.7× 613 2.3× 147 0.6× 278 1.9× 82 0.6× 17 1.2k

Countries citing papers authored by M. Dal Susino

Since Specialization
Citations

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

Fields of papers citing papers by M. Dal Susino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Dal Susino. 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 M. Dal Susino. The network helps show where M. Dal Susino may publish in the future.

Co-authorship network of co-authors of M. Dal Susino

This figure shows the co-authorship network connecting the top 25 collaborators of M. Dal Susino. A scholar is included among the top collaborators of M. Dal Susino 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 M. Dal Susino. M. Dal Susino 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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