Eric M. Przybyszewski
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
-
- Iron Metabolism and Disorders
Papers in
-
- Liver Disease and Transplantation 3
- Liver Diseases and Immunity 2
-
- Liver Disease Diagnosis and Treatment 5
- Hepatitis B Virus Studies 2
- Co-authors
- Jere D. Haas (8 shared papers)Padmini Ghugre (4 shared papers)Sarah Luna (3 shared papers)Shobha Udipi (3 shared papers)Michael J. Wenger (2 shared papers)Saurabh Mehta (1 shared paper)Julia L. Finkelstein (1 shared paper)Laura E. Murray‐Kolb (1 shared paper)
- Journals
- The FASEB Journal (5 papers)Transplantation (2 papers)Hepatology Communications (2 papers)Alcohol and Alcoholism (1 paper)Journal of Nutrition (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Eric M. Przybyszewski
20 papers receiving 324 citations
Peers
Comparison fields: 5 of 60
- Hepatology 46
- Hematology 45
- Nutrition and Dietetics 60
- Soil Science 27
- Plant Science 93
Countries citing papers authored by Eric M. Przybyszewski
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
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.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 134 | |
| 2 | 2021 | 42 | |
| 3 | 2016 | 40 | |
| 4 | 2022 | 23 | |
| 5 | 2025 | 16 | |
| 6 | 2018 | 16 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2014 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2011 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2024 | 1 |
About Eric M. Przybyszewski
Eric M. Przybyszewski is a scholar working on Hepatology, Epidemiology, Physiology, Hematology and Surgery, having authored 24 papers that have together received 335 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Iron Metabolism and Disorders (4 papers), Body Composition Measurement Techniques (3 papers), Liver Disease and Transplantation (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Obesity, Physical Activity, Diet (2 papers), Liver Diseases and Immunity (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (46 citations), Hematology (45 citations), Nutrition and Dietetics (60 citations), Soil Science (27 citations) and Plant Science (93 citations). Eric M. Przybyszewski has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Jere D. Haas, Padmini Ghugre, Sarah Luna, Shobha Udipi, Michael J. Wenger, Saurabh Mehta, Julia L. Finkelstein, Laura E. Murray‐Kolb, Giovanni Targher and Michael Roden. Their work appears in journals such as The FASEB Journal, Transplantation, Hepatology Communications, Alcohol and Alcoholism and Journal of Nutrition.
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.