Annamaria Piscazzi

1.6k citations
40 papers · 1.3k indexed · h-index 21
Topics
Cancer-related Molecular Pathways (10 papers)Heat shock proteins research (10 papers)Mitochondrial Function and Pathology (6 papers)
Partner nations
ItalyUnited StatesRussia

In The Last Decade

Annamaria Piscazzi

37 papers receiving 1.3k citations

Peers

Annamaria Piscazzi
Comparison fields: 5 of 89
  • Molecular Biology 806
  • Oncology 312
  • Cell Biology 226
  • Cancer Research 182
  • Epidemiology 152
Replace X. Wei Meng with:
X. Wei Meng United States
Jeong‐Min Kim South Korea
Annick Verhee Belgium
Christian Kuntzen United States
Midori Shimada Japan
Paul Dent United States
Eva Dazert Switzerland
Niklas K. Finnberg United States
Deguang Sun China
Xavier Bisteau Belgium
Annamaria Piscazzi relative to X. Wei Meng United States X. Wei Meng's profile →
Citations per field
00.5×1.7×
X. Wei Meng · 1×
Citations per year

Countries citing papers authored by Annamaria Piscazzi

Since Specialization
Citations

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

Fields of papers citing papers by Annamaria Piscazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annamaria Piscazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Annamaria Piscazzi. A scholar is included among the top collaborators of Annamaria Piscazzi 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 Annamaria Piscazzi. Annamaria Piscazzi 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 0
2 8
3 1
4 4
5 12
6 5
7 26
8 88
9 2
10 39
11 28
12 67
13 70
14 70
15 115
16 16
17 119
18 10
19 37
20 70

About Annamaria Piscazzi

Annamaria Piscazzi is a scholar working on Oncology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Heat shock proteins research (10 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Cell Biology (226 citations), Cancer Research (182 citations) and Molecular Biology (806 citations). Annamaria Piscazzi has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Matteo Landriscina, Franca Esposito, Francesca Maddalena, Maria Rosaria Amoroso, Danilo Swann Matassa, Alberto Fersini, Mauro Cignarelli, Gabriella Laudiero, Valentina Condelli and Lorenza Sisinni. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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