G Malvaldi

1.5k citations
66 papers · 1.3k · h-index 18

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism

Papers in

G Malvaldi

62 papers receiving 1.3k citations

Peers

G Malvaldi
Comparison fields: 5 of 86
  • Virology 321
  • Pharmacology 178
  • Animal Science and Zoology 127
  • Hepatology 103
  • Biochemistry 77
Replace Beatriz San‐Miguel with:
Beatriz San‐Miguel Spain
Helmut Gmünder Germany
Ngoc Vu‐Dac France
Ali Ramezani United States
Stanley E. Fisher United States
Hua Liang China
Sandra Dessı̀ Italy
Shigeru Hokari Japan
Sabine Angermüller Germany
Smita S. Ghare United States
G Malvaldi relative to Beatriz San‐Miguel Spain Beatriz San‐Miguel's profile →
Citations per field
00.5×10×20×26.8×
Beatriz San‐Miguel · 1×
Citations per year

Countries citing papers authored by G Malvaldi

Since Specialization
Citations

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

Fields of papers citing papers by G Malvaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G Malvaldi, 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 Malvaldi Line = papers co-authored together G Malvaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995292
2 1984116
3 200576
4
Loss of lipid peroxidation as a histochemical marker for preneoplastic hepatocellular foci of rats.
198466
5 199362
6 199651
7 200748
8 196837
9 199937
10 199336
11 199231
12 199626
13 198923
14 197721
15 198721
16 199621
17 200421
18 199720
19 198018
20 199518

About G Malvaldi

G Malvaldi is a scholar working on Pharmacology, Hepatology, Virology, Cancer Research and Biochemistry, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (14 papers), Liver physiology and pathology (11 papers), Carcinogens and Genotoxicity Assessment (8 papers), HIV Research and Treatment (7 papers), Immunotoxicology and immune responses (5 papers), Antioxidant Activity and Oxidative Stress (5 papers), Redox biology and oxidative stress (5 papers) and Cancer and biochemical research (4 papers). The work is most often cited by research in Virology (321 citations), Pharmacology (178 citations), Animal Science and Zoology (127 citations), Hepatology (103 citations) and Biochemistry (77 citations). G Malvaldi has collaborated with scholars based in Italy and Japan. Frequent co-authors include Elisabetta Chieli, M Bendinelli, Alessandro Poli, Stefania Lombardi, Carlo Garzelli, Franco Tozzini, Michela Saviozzi, Mauro Pistello, Luca Ceccherini‐Nelli and Donatella Matteucci. Their work appears in journals such as Acta Histochemica, Cellular and Molecular Life Sciences, Toxicology Letters, Toxicology and International Journal for Parasitology.

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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