Mark Pruzanski

23 papers receiving 5.2k citations

Mark Pruzanski's Hit Papers

Efficacy and Safety of the Farnesoid X Receptor Agonist Obeticholic Acid in Patients With Type 2 Diabetes and Nonalcoholic Fatty Liver Disease 2013 · 771 citations
7710+6+12Years since publication4008001.2k

Peers

Mark Pruzanski
Comparison fields: 5 of 103
  • Hepatology 717
  • Oncology 2.2k
  • Epidemiology 1.8k
  • Endocrinology, Diabetes and Metabolism 768
  • Surgery 1.4k
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Citations per year

Countries citing papers authored by Mark Pruzanski

Since Specialization
Citations

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

Fields of papers citing papers by Mark Pruzanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Pruzanski, 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 Mark Pruzanski Line = papers co-authored together Mark Pruzanski 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
TGR5-Mediated Bile Acid Sensing Controls Glucose Homeostasis
Hit paper breakdown →
20091469
2
Targeting bile-acid signalling for metabolic diseases
Hit paper breakdown →
20081115
3
Efficacy and Safety of the Farnesoid X Receptor Agonist Obeticholic Acid in Patients With Type 2 Diabetes and Nonalcoholic Fatty Liver Disease
Hit paper breakdown →
2013771
4 2009221
5 2012216
6 2013190
7 2005163
8 2005162
9 2010160
10 2005156
11 2010155
12 2009140
13 2014138
14 201752
15 201147
16 201336
17 201234
18 201233
19 201113
20
The first new monotherapy therapeutic PBC study in a decade? An international study evaluating the faresoid C receptor agonist obeticholic acid in PBC
20116

About Mark Pruzanski

Mark Pruzanski is a scholar working on Oncology, Surgery, Epidemiology, Molecular Biology and Hepatology, having authored 23 papers that have together received 5.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (18 papers), Liver Disease Diagnosis and Treatment (6 papers), Cholesterol and Lipid Metabolism (5 papers), Estrogen and related hormone effects (3 papers), Liver Diseases and Immunity (3 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Hepatology (717 citations), Oncology (2.2k citations), Epidemiology (1.8k citations), Endocrinology, Diabetes and Metabolism (768 citations) and Surgery (1.4k citations). Mark Pruzanski has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Roberto Pellicciari, Johan Auwerx, Charles Thomas, Kristina Schoonjans, Luciano Adorini, Д. А. Шапиро, Antonio Macchiarulo, Antimo Gioiello, Giovanni Rizzo and Julien Oury. Their work appears in journals such as Journal of Hepatology, Journal of Pharmacology and Experimental Therapeutics, Diabetes, Journal of Biological Chemistry and ACS Medicinal Chemistry Letters.

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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