P. Pennisi
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 10%
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Shoshana YakarHéctor JasperC. E. FioreHoracio M. DomenéDerek LeRoithMaría Gabriela RopelatoJuan J. HeinrichAlicia S. Martínez
- Topics
- Growth Hormone and Insulin-like Growth Factors (26 papers)Metabolism, Diabetes, and Cancer (11 papers)Cancer, Hypoxia, and Metabolism (11 papers)
- Journals
- New England Journal of MedicineThe Journal of Clinical Endocrinology & MetabolismCancer Research
- Partner nations
- ArgentinaItalyUnited States
In The Last Decade
P. Pennisi
55 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 746
- Endocrinology, Diabetes and Metabolism 717
- Genetics 309
- Oncology 289
- Cancer Research 250
Countries citing papers authored by P. Pennisi
This map shows the geographic impact of P. Pennisi'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 P. Pennisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Pennisi more than expected).
Fields of papers citing papers by P. Pennisi
This network shows the impact of papers produced by P. Pennisi. 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 P. Pennisi. The network helps show where P. Pennisi may publish in the future.
Co-authorship network of co-authors of P. Pennisi
This figure shows the co-authorship network connecting the top 25 collaborators of P. Pennisi. A scholar is included among the top collaborators of P. Pennisi 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 P. Pennisi. P. Pennisi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | Characterization of IGFI Receptor Expression and Localization in Paediatric Gliomas Upon Diagnosis According to WHO 2007 Grading | 1 |
| 8 | 219 | |
| 9 | Interaction diet energy level × genotype at alpha s1 casein locus in lactating goats fed ad libitum: effects on metabolic and endocrinal response. | 2 |
| 10 | 24 | |
| 11 | 117 | |
| 12 | 48 | |
| 13 | 58 | |
| 14 | 40 | |
| 15 | 19 | |
| 16 | 73 | |
| 17 | 66 | |
| 18 | 141 | |
| 19 | 39 | |
| 20 | 24 |
About P. Pennisi
P. Pennisi is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Cancer Research, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (26 papers), Metabolism, Diabetes, and Cancer (11 papers) and Cancer, Hypoxia, and Metabolism (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (717 citations), Orthopedics and Sports Medicine (243 citations) and Cancer Research (250 citations). P. Pennisi has collaborated with scholars based in Argentina, Italy and United States. Frequent co-authors include Shoshana Yakar, Héctor Jasper, C. E. Fiore, Horacio M. Domené, Derek LeRoith, María Gabriela Ropelato, Juan J. Heinrich, Alicia S. Martínez, Hong Zhao and Sonia V. Bengolea. Their work appears in journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.
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.