G Petti

423 citations
10 papers · 114 · h-index 4

Impact in

Papers in

    • Protein purification and stability 1
    • Mitochondrial Function and Pathology 1
    • Lipid Membrane Structure and Behavior 1

G Petti

10 papers receiving 102 citations

Peers

G Petti
Comparison fields: 5 of 43
  • Radiology, Nuclear Medicine and Imaging 62
  • Molecular Biology 69
  • Biomaterials 13
  • Oncology 23
  • Genetics 14
Replace Will Somers with:
Will Somers United States
Dmitri S. Sergueev United States
Ed Belouski United States
Rhys D. Fogarty Australia
Maximilian Brinkhaus Netherlands
E Barrow United Kingdom
Teresa R. Wagner Germany
Ting Yue China
Will H. A. Kuijpers Netherlands
Mania Kavosi United States
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Citations per field
00.5×4.3×
Will Somers · 1×
Citations per year

Countries citing papers authored by G Petti

Since Specialization
Citations

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

Fields of papers citing papers by G Petti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside G Petti, 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 Petti Line = papers co-authored together G Petti links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200396
2 19694
3
[Alteration products of thiamine in injectable solutions and their acute and sub-chronic toxicity].
19663
4
Cervical thymic cyst.
19753
5
[Seasonal morphological and biochemical changes in the liver of Rana esculenta].
19712
6
[Effects of chlorpromazine and hydrocortisone on changes in the enzyme pattern induced by ischemia in rat liver].
19672
7 19671
8 19671
9 19631
10 19671

About G Petti

G Petti is a scholar working on Molecular Biology, Physiology, Neurology, Clinical Biochemistry and Infectious Diseases, having authored 10 papers that have together received 114 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (2 papers), Click Chemistry and Applications (1 paper), Protein purification and stability (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Mitochondrial Function and Pathology (1 paper), Pancreatitis Pathology and Treatment (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (62 citations), Molecular Biology (69 citations), Biomaterials (13 citations), Oncology (23 citations) and Genetics (14 citations). G Petti has collaborated with scholars based in Italy. Frequent co-authors include Mary Mehlig, Anirban Basu, D Filpula, Ramesh Chintala, Ming-Ching Hsieh, Zhe Zhang, Kaiyong Yang, Marı́a Méndez, Peng Peng and Simin Liu. Their work appears in journals such as Biochemical Pharmacology, Advances in experimental medicine and biology, Protein Engineering Design and Selection, PROTOPLASMA and PubMed.

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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