Marco De Prizio

586 total citations
7 papers, 136 citations indexed

About

Marco De Prizio is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marco De Prizio has authored 7 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marco De Prizio's work include Cardiac, Anesthesia and Surgical Outcomes (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Colorectal Cancer Surgical Treatments (2 papers). Marco De Prizio is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Colorectal Cancer Surgical Treatments (2 papers). Marco De Prizio collaborates with scholars based in Italy. Marco De Prizio's co-authors include Barbara Frezza, Graziano Ceccarelli, Alessia Biancafarina, Aldo Rocca, Katrin C. Kröning, Marco Scatizzi, Francesco Feroci, Vieri Boddi, Marco Milone and Enrico Andolfi and has published in prestigious journals such as Surgery, Cancers and Aging Clinical and Experimental Research.

In The Last Decade

Marco De Prizio

6 papers receiving 128 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marco De Prizio Italy	5	92	59	54	24	18	7	136
Alessandro Gemini Italy	10	140 1.5×	96 1.6×	64 1.2×	19 0.8×	34 1.9×	21	203
Selena S. Li United States	7	124 1.3×	23 0.4×	75 1.4×	14 0.6×	23 1.3×	20	170
Samuele Vaccari Italy	8	126 1.4×	52 0.9×	79 1.5×	24 1.0×	12 0.7×	31	168
Alessandra Cristaudi Switzerland	7	124 1.3×	57 1.0×	41 0.8×	23 1.0×	7 0.4×	24	181
Tamara Díaz Vico Spain	7	95 1.0×	46 0.8×	46 0.9×	15 0.6×	20 1.1×	20	130
N Manu United Kingdom	5	53 0.6×	29 0.5×	26 0.5×	15 0.6×	10 0.6×	12	75
P Basnyat United Kingdom	8	83 0.9×	47 0.8×	36 0.7×	10 0.4×	7 0.4×	12	141
Francisco Callejas-Neto Brazil	9	199 2.2×	82 1.4×	62 1.1×	11 0.5×	28 1.6×	35	248
Gianpaolo Marte Italy	8	91 1.0×	21 0.4×	57 1.1×	6 0.3×	10 0.6×	14	122
Nirvana Maroni Italy	6	71 0.8×	60 1.0×	42 0.8×	13 0.5×	4 0.2×	7	100

Countries citing papers authored by Marco De Prizio

Since Specialization

Citations

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

Fields of papers citing papers by Marco De Prizio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco De Prizio

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

All Works

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7 of 7 papers shown

1.

Frezza, Barbara, Mario Cesare Nurchis, Gabriella Teresa Capolupo, et al.. (2025). A Comparison of Machine Learning-Based Models and a Simple Clinical Bedside Tool to Predict Morbidity and Mortality After Gastrointestinal Cancer Surgery in the Elderly. Bioengineering. 12(5). 544–544.

2.

Solaini, Leonardo, Maria Bencivenga, Fausto Rosa, et al.. (2022). Consequences of the COVID-19 pandemic on the diagnosis and treatment of gastric cancer in referral centers in Italy. Tumori Journal. 109(1). 121–128. 5 indexed citations

3.

Ceccarelli, Graziano, Gianluca Costa, Michele De Rosa, et al.. (2021). Minimally Invasive Approach to Gastric GISTs: Analysis of a Multicenter Robotic and Laparoscopic Experience with Literature Review. Cancers. 13(17). 4351–4351. 29 indexed citations

4.

Garbarino, Giovanni Maria, Gianluca Costa, Barbara Frezza, et al.. (2020). Robotic versus open oncological gastric surgery in the elderly: a propensity score-matched analysis. Journal of Robotic Surgery. 15(5). 741–749. 15 indexed citations

5.

Ceccarelli, Graziano, Enrico Andolfi, Alessia Biancafarina, et al.. (2016). Robot-assisted surgery in elderly and very elderly population: our experience in oncologic and general surgery with literature review. Aging Clinical and Experimental Research. 29(S1). 55–63. 56 indexed citations

6.

Feroci, Francesco, Katrin C. Kröning, Luca Moraldi, et al.. (2010). [A new effective method to reduce pain after laparoscopic cholecystectomy].. PubMed. 31(10). 423–8. 2 indexed citations

7.

Scatizzi, Marco, Katrin C. Kröning, Vieri Boddi, Marco De Prizio, & Francesco Feroci. (2009). Fast-track surgery after laparoscopic colorectal surgery: Is it feasible in a general surgery unit?. Surgery. 147(2). 219–226. 29 indexed citations

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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