Pierluigi Scalia
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- Growth Hormone and Insulin-like Growth Factors 7
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 3
- Molecular Biology top 10%
- Metabolism, Diabetes, and Cancer 10
- Ubiquitin and proteasome pathways 7
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology top 10%
- Animal Science and Zoology top 5%
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- Axon Guidance and Neuronal Signaling 4
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- Hippo pathway signaling and YAP/TAZ 3
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- Pancreatic function and diabetes 3
- Co-authors
- Riccardo VigneriGiuseppe PandiniIra D. GoldfineFrancesco FrascaLaura SciaccaAntonino BelfioreAngela CostantinoRossana Mineo
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Pierluigi Scalia
25 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 687
- Cancer Research 330
- Molecular Biology 996
- Oncology 283
- Animal Science and Zoology 97
Countries citing papers authored by Pierluigi Scalia
This map shows the geographic impact of Pierluigi Scalia'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 Pierluigi Scalia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierluigi Scalia more than expected).
Fields of papers citing papers by Pierluigi Scalia
This network shows the impact of papers produced by Pierluigi Scalia. 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 Pierluigi Scalia. The network helps show where Pierluigi Scalia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pierluigi Scalia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 0 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 23 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 14 | |
| 12 | 2005 | 112 | |
| 13 | 2003 | 113 | |
| 14 | 2002 | 31 | |
| 15 | 2001 | 23 | |
| 16 | Insulin Receptor Isoform A, a Newly Recognized, High-Affinity Insulin-Like Growth Factor II Receptor in Fetal and Cancer Cellsbreakdown → | 1999 | 724 |
| 17 | 1999 | 228 | |
| 18 | 1998 | 14 | |
| 19 | 1998 | 27 | |
| 20 | 1996 | 39 |
About Pierluigi Scalia
Pierluigi Scalia is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Ubiquitin and proteasome pathways (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Axon Guidance and Neuronal Signaling (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (687 citations), Cancer Research (330 citations) and Molecular Biology (996 citations). Pierluigi Scalia has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Riccardo Vigneri, Giuseppe Pandini, Ira D. Goldfine, Francesco Frasca, Laura Sciacca, Antonino Belfiore, Angela Costantino, Rossana Mineo, Rizwan Masood and D. Lynne Smith. Their work appears in journals such as Blood, Molecular and Cellular Biology 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.