Marco Dal Molin

81 total papers · 8.3k total citations
33 papers, 2.1k citations indexed

About

Marco Dal Molin is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Marco Dal Molin has authored 33 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 16 papers in Surgery and 16 papers in Cancer Research. Recurrent topics in Marco Dal Molin's work include Pancreatic and Hepatic Oncology Research (28 papers), Cancer Genomics and Diagnostics (13 papers) and Neuroendocrine Tumor Research Advances (8 papers). Marco Dal Molin is often cited by papers focused on Pancreatic and Hepatic Oncology Research (28 papers), Cancer Genomics and Diagnostics (13 papers) and Neuroendocrine Tumor Research Advances (8 papers). Marco Dal Molin collaborates with scholars based in United States, Italy and Germany. Marco Dal Molin's co-authors include Christopher L. Wolfgang, Michael Goggins, Ralph H. Hruban, Anirban Maitra, Hanno Matthaei, Richard D. Schulick, Marcia Irene Canto, Bert Vogelstein, Amanda L. Blackford and Kenneth W. Kinzler and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Annals of Surgery.

In The Last Decade

Marco Dal Molin

31 papers receiving 2.1k citations

Hit Papers

Recurrent GNAS Mutations ... 2011 2026 2016 2021 2011 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
Marco Dal Molin 1.8k 1.2k 683 552 480 33 2.1k
Caroline S. Verbeke 1.6k 0.9× 907 0.8× 411 0.6× 404 0.7× 462 1.0× 46 2.3k
Serdar Balcı 1.5k 0.8× 855 0.7× 444 0.7× 825 1.5× 333 0.7× 66 2.3k
A. Hennipman 1.6k 0.9× 754 0.6× 500 0.7× 472 0.9× 569 1.2× 39 2.6k
N. Tjarda van Heek 1.3k 0.7× 874 0.7× 353 0.5× 167 0.3× 689 1.4× 25 2.0k
J. Plaschkes 1.1k 0.6× 1.4k 1.2× 441 0.6× 284 0.5× 650 1.4× 48 3.1k
A. M. Cohen 1.9k 1.1× 1.2k 1.0× 312 0.5× 367 0.7× 196 0.4× 32 2.6k
Yong Xia 934 0.5× 1.4k 1.2× 805 1.2× 801 1.5× 557 1.2× 58 3.2k
William A. Maddox 2.5k 1.4× 929 0.8× 336 0.5× 715 1.3× 777 1.6× 35 3.3k
Lehua Shi 818 0.4× 860 0.7× 431 0.6× 293 0.5× 281 0.6× 40 1.8k
Shunichi Takahata 1.9k 1.0× 1.7k 1.5× 525 0.8× 507 0.9× 502 1.0× 94 2.7k

Countries citing papers authored by Marco Dal Molin

Since Specialization
Citations

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

Fields of papers citing papers by Marco Dal Molin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Dal Molin

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