Marco Piva

2.1k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Marco Piva is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Marco Piva has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Marco Piva's work include Melanoma and MAPK Pathways (4 papers), Cancer Cells and Metastasis (3 papers) and CAR-T cell therapy research (2 papers). Marco Piva is often cited by papers focused on Melanoma and MAPK Pathways (4 papers), Cancer Cells and Metastasis (3 papers) and CAR-T cell therapy research (2 papers). Marco Piva collaborates with scholars based in United States, Spain and United Kingdom. Marco Piva's co-authors include Gatien Moriceau, Roger S. Lo, Aayoung Hong, Willy Hugo, Lu Sun, María dM Vivanco, Bruno M. Simões, Xiangju Kong, Douglas B. Johnson and Jeffrey A. Sosman and has published in prestigious journals such as Cell, PLoS ONE and Analytical Chemistry.

In The Last Decade

Marco Piva

11 papers receiving 1.1k citations

Hit Papers

Non-genomic and Immune Evolution of Melanoma Acquiring MA... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Marco Piva
Comparison fields: 5 of 77
  • Molecular Biology 748
  • Oncology 616
  • Immunology 214
  • Cancer Research 202
  • Cell Biology 92
Replace Katrin Sproesser with:
Katrin Sproesser United States
Julia Boshuizen Netherlands
David Twomey United States
Marilda Beqiri United States
Katja Harbst Sweden
Akihide Fujimoto Japan
Marnix H. Geukes Foppen Netherlands
Hui Qu China
Jessica Hyman Australia
Steve Lianoglou United States
Katrin Sproesser United States View profile →
Citations per field, relative to Marco Piva
Marco Piva · 1×
Citations per year, relative to Marco Piva
Marco Piva · 1×

Countries citing papers authored by Marco Piva

Since Specialization
Citations

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

Fields of papers citing papers by Marco Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Piva

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 32
2 16
3 0
4 42
5 32
6 109
7 72
8
Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistance breakdown →
412
9 13
10 0
11 271
12 96
13 2

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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