A. Guaitani

1.4k citations
73 papers · 1.2k · h-index 18

Impact in

Papers in

A. Guaitani

72 papers receiving 1.1k citations

Peers

A. Guaitani
Comparison fields: 5 of 102
  • Pharmacology 208
  • Clinical Biochemistry 77
  • Oncology 308
  • Biochemistry 73
  • Hepatology 62
Replace Anthony J. Streeter with:
Anthony J. Streeter United States
Kenichi Kitani Japan
Harriet M. Maling United States
Rodolfo Gasser Switzerland
Claire Boursier-Neyret France
Yan Weng China
F C Kauffman United States
R. M. Weinshilboum United States
Tamihide Matsunaga Japan
Helmuth Sippel Finland
A. Guaitani relative to Anthony J. Streeter United States Anthony J. Streeter's profile →
Citations per field
00.5×2.8×
Anthony J. Streeter · 1×
Citations per year

Countries citing papers authored by A. Guaitani

Since Specialization
Citations

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

Fields of papers citing papers by A. Guaitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Isolated liver perfusion and its applications
1973170
2 1982116
3 196863
4 198150
5 198042
6 198238
7 196938
8 199234
9 198633
10 199130
11 198426
12
An experimental rat model of local bone cancer invasion and its responsiveness to ethane-1-hydroxy-1,1-bis(phosphonate).
198524
13 198323
14 197121
15 198921
16 197221
17 197119
18
Antitumor activity of the novel nitrosourea S10036 in rodent tumors.
198917
19 200217
20
Animal models for the study of cancer-induced anorexia.
198117

About A. Guaitani

A. Guaitani is a scholar working on Oncology, Molecular Biology, Pharmacology, Cancer Research and Cellular and Molecular Neuroscience, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Drug Transport and Resistance Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Metabolism and Genetic Disorders (10 papers), Diet and metabolism studies (8 papers), Epilepsy research and treatment (8 papers), Liver Disease Diagnosis and Treatment (7 papers) and Pharmacological Effects and Toxicity Studies (6 papers). The work is most often cited by research in Pharmacology (208 citations), Clinical Biochemistry (77 citations), Oncology (308 citations), Biochemistry (73 citations) and Hepatology (62 citations). A. Guaitani has collaborated with scholars based in Italy, France and Slovakia. Frequent co-authors include I. Bartošek, Silvio Garattini, Leon L. Miller, F. Marcucci, J Kvĕtina, Pia Villa, E. Mussini, M.G. Donelli, Renato Urso and Paolo Neyroz. Their work appears in journals such as Biochemical Pharmacology, Toxicology Letters, Xenobiotica, Pharmacology and Oncology.

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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