G.A. Puca

1.1k citations
23 papers · 846 · h-index 15

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Protein Hydrolysis and Bioactive Peptides 2
    • Protein purification and stability 2
    • Estrogen and related hormone effects 9

G.A. Puca

23 papers receiving 735 citations

Peers

G.A. Puca
Comparison fields: 5 of 81
  • Genetics 402
  • Endocrinology, Diabetes and Metabolism 116
  • Toxicology 23
  • Molecular Biology 445
  • Cell Biology 105
Replace T. Kawashima with:
T. Kawashima Japan
Marie‐Claire Lebeau France
Dennis Sakai United States
Walter Wouters Belgium
Yoshihiro Koseki United States
Friedrich C. Dalman United States
Lawrence C. Scherrer United States
Yvonne A. Lefebvre Canada
R A Jungmann United States
Kirk Ekena United States
G.A. Puca relative to T. Kawashima Japan T. Kawashima's profile →
Citations per field
00.5×2.8×
T. Kawashima · 1×
Citations per year

Countries citing papers authored by G.A. Puca

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Puca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.A. Puca. 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 G.A. Puca. The network helps show where G.A. Puca may publish in the future.

Co-authors

The 23 scholars most cited alongside G.A. Puca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G.A. Puca Line = papers co-authored together G.A. Puca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977145
2 1968116
3 197766
4 200151
5 196951
6 196947
7 196947
8
Estradiol induces functional inactivation of p53 by intracellular redistribution.
200047
9 197542
10 198041
11 197341
12 198629
13 197125
14 198023
15 200119
16 196812
17 197011
18 19869
19 19918
20 19818

About G.A. Puca

G.A. Puca is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Endocrinology, Diabetes and Metabolism and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 846 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Hormonal and reproductive studies (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Protein purification and stability (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Genetics (402 citations), Endocrinology, Diabetes and Metabolism (116 citations), Toxicology (23 citations), Molecular Biology (445 citations) and Cell Biology (105 citations). G.A. Puca has collaborated with scholars based in Italy and United States. Frequent co-authors include Francesco Bresciani, E. Nola, V. Sica, Anna Maria Molinari, Nicola Medici, Bruno Moncharmont, E. V. Jensen, Vincenzo Nigro, Ciro Abbondanza and Franco M. Buonaguro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Journal of Biological Chemistry, Endocrinology and Lung Cancer.

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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