James Tonascia
- Epidemiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Hepatology top 0.5%
- Physiology top 2%
- Surgery top 5%
- Co-authors
- Mark L. Van NattaAynur ÜnalpDavid E. KleinerKris V. KowdleyArun J. SanyalJoel E. LavineNaga ChalasaniBrent A. Neuschwander‐Tetri
- Topics
- Gastrointestinal motility and disorders (31 papers)Diet and metabolism studies (20 papers)Liver Disease Diagnosis and Treatment (17 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
James Tonascia
78 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Epidemiology 3.6k
- Endocrinology, Diabetes and Metabolism 1.8k
- Hepatology 1.4k
- Physiology 1.2k
- Surgery 847
Countries citing papers authored by James Tonascia
This map shows the geographic impact of James Tonascia'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 James Tonascia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Tonascia more than expected).
Fields of papers citing papers by James Tonascia
This network shows the impact of papers produced by James Tonascia. 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 James Tonascia. The network helps show where James Tonascia may publish in the future.
Co-authorship network of co-authors of James Tonascia
This figure shows the co-authorship network connecting the top 25 collaborators of James Tonascia. A scholar is included among the top collaborators of James Tonascia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Tonascia. James Tonascia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 30 | |
| 4 | 12 | |
| 5 | 60 | |
| 6 | 21 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 22 | |
| 10 | 49 | |
| 11 | 18 | |
| 12 | 114 | |
| 13 | 3 | |
| 14 | Relationship between changes in serum levels of keratin 18 and changes in liver histology in children and adults with nonalcoholic fatty liver disease | 2 |
| 15 | 374 | |
| 16 | 107 | |
| 17 | Pioglitazone, Vitamin E, or Placebo for Nonalcoholic Steatohepatitisbreakdown → | 2468 |
| 18 | 138 | |
| 19 | 65 | |
| 20 | Predictive value of respiratory findings. | 2 |
About James Tonascia
James Tonascia is a scholar working on Gastroenterology, Hepatology and Physiology, having authored 81 papers that have together received 5.9k indexed citations. Recurring topics across this work include Gastrointestinal motility and disorders (31 papers), Diet and metabolism studies (20 papers) and Liver Disease Diagnosis and Treatment (17 papers). The work is most often cited by research in Hepatology (1.4k citations), Endocrinology, Diabetes and Metabolism (1.8k citations) and Epidemiology (3.6k citations). James Tonascia has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Mark L. Van Natta, Aynur Ünalp, David E. Kleiner, Kris V. Kowdley, Arun J. Sanyal, Joel E. Lavine, Naga Chalasani, Brent A. Neuschwander‐Tetri, Elizabeth M. Brunt and Anna Mae Diehl. Their work appears in journals such as New England Journal of Medicine, JAMA and Nature Medicine.
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.