Francesco Piva

6.3k total citations · 1 hit paper
154 papers, 4.5k citations indexed

About

Francesco Piva is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Francesco Piva has authored 154 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 29 papers in Oncology and 24 papers in Cancer Research. Recurrent topics in Francesco Piva's work include Stress Responses and Cortisol (20 papers), Hypothalamic control of reproductive hormones (18 papers) and Neuropeptides and Animal Physiology (16 papers). Francesco Piva is often cited by papers focused on Stress Responses and Cortisol (20 papers), Hypothalamic control of reproductive hormones (18 papers) and Neuropeptides and Animal Physiology (16 papers). Francesco Piva collaborates with scholars based in Italy, United States and Spain. Francesco Piva's co-authors include Giovanni Principato, Matteo Giulietti, L. Martini, Matteo Santoni, Rodolfo Montironi, Giulia Occhipinti, Maura Benedetti, Francesco Regoli, Daniele Fattorini and Francesco Massari and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Francesco Piva

147 papers receiving 4.4k citations

Hit Papers

An estimation of the number of cells in the human body 2013 2026 2017 2021 2013 200 400 600

Peers

Francesco Piva
Comparison fields: 5 of 172
  • Molecular Biology 1.9k
  • Cancer Research 883
  • Oncology 657
  • Pulmonary and Respiratory Medicine 645
  • Health, Toxicology and Mutagenesis 427
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Citations per field, relative to Francesco Piva
Francesco Piva · 1×
Citations per year, relative to Francesco Piva
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Countries citing papers authored by Francesco Piva

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Piva

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Piva. A scholar is included among the top collaborators of Francesco 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 Francesco Piva. Francesco Piva 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
# Work Indexed citations
1 0
2 1
3 2
4 6
5 3
6 13
7 20
8 2
9 9
10 36
11 35
12 30
13 3
14 8
15 20
16 65
17
Role of STAT3 pathway in genitourinary tumors
1
18 109
19 152
20
Classe operaia e mobilità del lavoro di fabbrica
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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