Daniel M. Chopyk
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Liver physiology and pathology 3
- Liver Disease and Transplantation 1
-
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Arash Grakoui (3 shared papers)Pradeep Kumar (4 shared papers)Yunshan Liu (4 shared papers)Frank A. Anania (4 shared papers)T. Lynn Smith (3 shared papers)Reben Raeman (3 shared papers)Todd A. Sulchek (1 shared paper)Kiran Verma (1 shared paper)
- Journals
- The FASEB Journal (2 papers)PLoS Biology (1 paper)Journal of Biological Chemistry (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Gastroenterology (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Daniel M. Chopyk
9 papers receiving 597 citations
Daniel M. Chopyk's Hit Papers
Peers
Comparison fields: 5 of 75
- Hepatology 94
- Pharmacology 51
- Epidemiology 190
- Biological Psychiatry 9
- Molecular Biology 227
Countries citing papers authored by Daniel M. Chopyk
This map shows the geographic impact of Daniel M. Chopyk'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 Daniel M. Chopyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Chopyk more than expected).
Fields of papers citing papers by Daniel M. Chopyk
This network shows the impact of papers produced by Daniel M. Chopyk. 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 Daniel M. Chopyk. The network helps show where Daniel M. Chopyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Chopyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Contribution of the Intestinal Microbiome and Gut Barrier to Hepatic Disorders Hit paper breakdown → | 2020 | 396 |
| 2 | 2018 | 64 | |
| 3 | 2020 | 33 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 28 | |
| 6 | 2019 | 28 | |
| 7 | 2018 | 21 | |
| 8 | 2011 | 1 | |
| 9 | 2026 | 1 | |
| 10 | 2024 | 0 |
About Daniel M. Chopyk
Daniel M. Chopyk is a scholar working on Hepatology, Epidemiology, Physiology, Surgery and Neurology, having authored 10 papers that have together received 605 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Gut microbiota and health (3 papers), Abdominal vascular conditions and treatments (1 paper), Liver Disease and Transplantation (1 paper), Adenosine and Purinergic Signaling (1 paper), Macrophage Migration Inhibitory Factor (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Hepatology (94 citations), Pharmacology (51 citations), Epidemiology (190 citations), Biological Psychiatry (9 citations) and Molecular Biology (227 citations). Daniel M. Chopyk has collaborated with scholars based in United States and India. Frequent co-authors include Arash Grakoui, Pradeep Kumar, Yunshan Liu, Frank A. Anania, T. Lynn Smith, Reben Raeman, Todd A. Sulchek, Kiran Verma, Mark J. Czaja and Alton B. Farris. Their work appears in journals such as The FASEB Journal, PLoS Biology, Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Gastroenterology.
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.