Eric M. Przybyszewski

28 papers receiving 457 citations

Eric M. Przybyszewski's Hit Papers

Statin Use and Risk of Hepatocellular Carcinoma and Liver Fibrosis in Chronic Liver Disease 2025 · 31 citations
310Years since publication102030

Peers

Eric M. Przybyszewski
Comparison fields: 5 of 33
  • Hepatology 61
  • Hematology 34
  • Plant Science 81
  • Epidemiology 56
  • Surgery 74
Replace Pedro Valencia‐Mayoral with:
Pedro Valencia‐Mayoral Mexico
Marcela Aparicio-Vergara Netherlands
R. C. Day United Kingdom
Simone Delons France
Ali Özden Türkiye
Mari Mizuno Japan
Yihan Qian China
Qingxian Huang China
Nicole Verthier France
Eric M. Przybyszewski relative to Pedro Valencia‐Mayoral Mexico Pedro Valencia‐Mayoral's profile →
Citations per field
00.5×5×11.3×
Pedro Valencia‐Mayoral · 1×
Citations per year

Countries citing papers authored by Eric M. Przybyszewski

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Przybyszewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015139
2 202355
3 201648
4 202147
5
Statin Use and Risk of Hepatocellular Carcinoma and Liver Fibrosis in Chronic Liver Disease
Hit paper breakdown →
202531
6 202230
7 201818
8 202118
9 202015
10 202112
11 20249
12 20146
13 20246
14 20235
15 20235
16 20234
17 20244
18 20133
19 20233
20 20253

About Eric M. Przybyszewski

Eric M. Przybyszewski is a scholar working on Hepatology, Hematology, Epidemiology, Pathology and Forensic Medicine and Nephrology, having authored 32 papers that have together received 472 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (4 papers), Alcohol Consumption and Health Effects (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Hepatitis C virus research (1 paper), Acute Kidney Injury Research (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Hepatology (61 citations), Hematology (34 citations), Plant Science (81 citations), Epidemiology (56 citations) and Surgery (74 citations). Eric M. Przybyszewski has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Jere Douglas Haas, Padmini S. Ghugre, Sarah Luna, Shobha Anand Udipi, Michael J. Wenger, Laura E. Murray‐Kolb, Julia Leigh Finkelstein, Saurabh Mehta, Giovanni Targher and Michael Roden. Their work appears in journals such as The FASEB Journal, Hepatology Communications, Liver Transplantation, Clinical Gastroenterology and Hepatology and Transplantation.

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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