Massimo Ambroggi

23 total papers · 893 total citations
14 papers, 605 citations indexed

About

Massimo Ambroggi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Massimo Ambroggi has authored 14 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Massimo Ambroggi's work include COVID-19 Clinical Research Studies (2 papers), COVID-19 and healthcare impacts (2 papers) and Palliative Care and End-of-Life Issues (2 papers). Massimo Ambroggi is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), COVID-19 and healthcare impacts (2 papers) and Palliative Care and End-of-Life Issues (2 papers). Massimo Ambroggi collaborates with scholars based in Italy and Spain. Massimo Ambroggi's co-authors include Luigi Cavanna, Claudia Biasini, Cinzia Del Giovane, Fabio Fornari, Patrizia Mordenti, Raffaella Bertè, Elena Orlandi, Elisa Maria Stroppa, Elena Belloni and Emanuele Michieletti and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and The Oncologist.

In The Last Decade

Massimo Ambroggi

13 papers receiving 593 citations

Hit Papers

Distance as a Barrier to ... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Massimo Ambroggi 348 183 121 105 87 14 605
C.D.M. Griffith 247 0.7× 142 0.8× 118 1.0× 54 0.5× 191 2.2× 23 638
Chai Rick Soh 255 0.7× 151 0.8× 96 0.8× 40 0.4× 50 0.6× 16 606
V. Sauerzapf 277 0.8× 102 0.6× 69 0.6× 135 1.3× 60 0.7× 11 638
Brandy Peaker 476 1.4× 160 0.9× 114 0.9× 85 0.8× 86 1.0× 7 675
Sanja Percac-Lima 365 1.0× 200 1.1× 65 0.5× 55 0.5× 30 0.3× 12 618
M. Kelsey Kirkwood 280 0.8× 68 0.4× 135 1.1× 172 1.6× 72 0.8× 18 520
Winta T. Mehtsun 144 0.4× 90 0.5× 74 0.6× 90 0.9× 157 1.8× 30 570
Megan Coombes 276 0.8× 144 0.8× 24 0.2× 67 0.6× 90 1.0× 16 620
Linda Alley 281 0.8× 96 0.5× 77 0.6× 116 1.1× 36 0.4× 11 526
Tracy Gosselin 176 0.5× 59 0.3× 92 0.8× 51 0.5× 53 0.6× 26 585

Countries citing papers authored by Massimo Ambroggi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Ambroggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Ambroggi

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Ambroggi. A scholar is included among the top collaborators of Massimo Ambroggi 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 Massimo Ambroggi. Massimo Ambroggi 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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