M Frezza

31 papers receiving 1.8k citations

Hit Papers

High Blood Alcohol Levels in Women 1990 · 984 citations
9841990202620022014250500750

Peers

M Frezza
Comparison fields: 5 of 115
  • Hepatology 500
  • Pathology and Forensic Medicine 765
  • Epidemiology 1.0k
  • Biochemistry 139
  • Pharmacology 152
Replace C. Di Padova with:
C. Di Padova Italy
Theresa M. Worner United States
David H. Van Thiel United States
Charles L. Mendenhall United States
C L Mendenhall United States
James G. Rankin Australia
Joan E. Blake Canada
Daniel Rudman United States
Allan D. Thomson United States
K. J. Hardy Australia
M Frezza relative to C. Di Padova Italy C. Di Padova's profile →
Citations per field
00.5×1.5×2.1×
C. Di Padova · 1×
Citations per year

Countries citing papers authored by M Frezza

Since Specialization
Citations

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

Fields of papers citing papers by M Frezza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High Blood Alcohol Levels in Women
Hit paper breakdown →
1990984
2 1995157
3 1990125
4 1989124
5 1984114
6
S-adenosylmethionine for the treatment of intrahepatic cholestasis of pregnancy. Results of a controlled clinical trial.
199067
7 199364
8 199553
9 199347
10 200121
11 199221
12
Prevention of S-adenosylmethionine of estrogen-induced hepatobiliary toxicity in susceptible women.
198820
13 197518
14 197418
15 19929
16 19879
17 19649
18
Abnormal serum gamma-glutamyltranspeptidase in alcoholics. Clues to its explanation.
19898
19 19688
20 19927

About M Frezza

M Frezza is a scholar working on Hepatology, Rheumatology, Epidemiology, Clinical Biochemistry and Oncology, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Drug Transport and Resistance Mechanisms (7 papers), Folate and B Vitamins Research (6 papers), Neonatal Health and Biochemistry (5 papers), Pregnancy and Medication Impact (5 papers), Hepatitis C virus research (4 papers), Diet, Metabolism, and Disease (3 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Hepatology (500 citations), Pathology and Forensic Medicine (765 citations), Epidemiology (1.0k citations), Biochemistry (139 citations) and Pharmacology (152 citations). M Frezza has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include C. Di Padova, Gabriele Pozzato, Enrique Baraona, M. Terpin, Charles S. Lieber, A. Albertí, Liliana Chemello, L. Chiesa, Pietro Casarin and C. Surrenti. Their work appears in journals such as Hepatology, Clinica Chimica Acta, Gastroenterology, British Journal of Haematology and Journal of Hepatology.

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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