Marcello Maugeri‐Saccà

4.9k citations
66 papers · 2.6k indexed · h-index 25
Topics
Hippo pathway signaling and YAP/TAZ (13 papers)Cancer-related Molecular Pathways (9 papers)Male Breast Health Studies (8 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEOncogene

In The Last Decade

Marcello Maugeri‐Saccà

64 papers receiving 2.6k citations

Peers

Marcello Maugeri‐Saccà
Comparison fields: 5 of 107
  • Molecular Biology 1.5k
  • Oncology 1.0k
  • Cancer Research 800
  • Cell Biology 633
  • Pulmonary and Respiratory Medicine 350
Replace Go J. Yoshida with:
Go J. Yoshida Japan
María Romina Girotti Argentina
Jonathan Welti United Kingdom
Igor Astsaturov United States
David L. Crowe United States
Yoshimi Arima Japan
Jinyang Li United States
Jeffrey Kiefer United States
Klaus‐Jürgen Winzer Germany
Mahmoud Toulany Germany
Marcello Maugeri‐Saccà relative to Go J. Yoshida Japan Go J. Yoshida's profile →
Citations per field
00.5×3.1×
Go J. Yoshida · 1×
Citations per year

Countries citing papers authored by Marcello Maugeri‐Saccà

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Maugeri‐Saccà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcello Maugeri‐Saccà. 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 Marcello Maugeri‐Saccà. The network helps show where Marcello Maugeri‐Saccà may publish in the future.

Co-authorship network of co-authors of Marcello Maugeri‐Saccà

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 46
2 0
3 19
4 21
5 133
6 68
7 1
8 20
9 15
10 7
11 5
12 24
13 15
14 13
15 2
16 17
17 4
18 6
19 142
20 22

About Marcello Maugeri‐Saccà

Marcello Maugeri‐Saccà is a scholar working on Oncology, Cancer Research and Cell Biology, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (13 papers), Cancer-related Molecular Pathways (9 papers) and Male Breast Health Studies (8 papers). The work is most often cited by research in Cancer Research (800 citations), Cell Biology (633 citations) and Oncology (1.0k citations). Marcello Maugeri‐Saccà has collaborated with scholars based in Italy, Malaysia and United Kingdom. Frequent co-authors include Ruggero De Maria, Monica Bartucci, Patrizia Vici, Maddalena Barba, Laura Pizzuti, Gennaro Ciliberto, Paolo Vigneri, Marcella Mottolese, Luigi Di Lauro and Michele Patrizii. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

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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