P. Pennisi

2.6k citations
57 papers · 1.8k indexed · h-index 24

P. Pennisi

55 papers receiving 1.8k citations

Peers

P. Pennisi
Comparison fields: 5 of 99
  • Molecular Biology 746
  • Endocrinology, Diabetes and Metabolism 717
  • Genetics 309
  • Oncology 289
  • Cancer Research 250
Replace Jennifer Setser with:
Jennifer Setser United States
Hiroo Niimi Japan
Ulrika Islander Sweden
Gianluca Toraldo United States
Lisa Choy United States
George Schneider United States
Yunzi Chen China
Sean C. Harrington United States
Mark R. Hughes United States
Kazuya Oshima Japan
P. Pennisi relative to Jennifer Setser United States Jennifer Setser's profile →
Citations per field
00.5×1.6×
Jennifer Setser · 1×
Citations per year

Countries citing papers authored by P. Pennisi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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