Fasiha Kanwal
- Epidemiology top 0.1%
- Hepatology top 0.05%
- Surgery top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Co-authors
- Hashem B. El‐SeragJennifer R. KramerAmit G. SingalDonna L. WhiteJessica A. DavilaAaron P. ThriftPeter RichardsonSteven M. Asch
- Topics
- Liver Disease Diagnosis and Treatment (153 papers)Liver Disease and Transplantation (89 papers)Hepatitis C virus research (56 papers)
- Partner nations
- United StatesItalySpain
In The Last Decade
Fasiha Kanwal
210 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Epidemiology 7.7k
- Hepatology 6.5k
- Surgery 1.9k
- Endocrinology, Diabetes and Metabolism 1.5k
- Molecular Biology 1.1k
Countries citing papers authored by Fasiha Kanwal
This map shows the geographic impact of Fasiha Kanwal'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 Fasiha Kanwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fasiha Kanwal more than expected).
Fields of papers citing papers by Fasiha Kanwal
This network shows the impact of papers produced by Fasiha Kanwal. 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 Fasiha Kanwal. The network helps show where Fasiha Kanwal may publish in the future.
Co-authorship network of co-authors of Fasiha Kanwal
This figure shows the co-authorship network connecting the top 25 collaborators of Fasiha Kanwal. A scholar is included among the top collaborators of Fasiha Kanwal 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 Fasiha Kanwal. Fasiha Kanwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | Metabolic Dysfunction–Associated Steatotic Liver Disease (MASLD) in People With Diabetes: The Need for Screening and Early Intervention. A Consensus Report of the American Diabetes Associationbreakdown → | 25 |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | Resmetirom therapy for metabolic dysfunction-associated steatotic liver disease: October 2024 updates to AASLD Practice Guidancebreakdown → | 69 |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 22 | |
| 12 | 4 | |
| 13 | 11 | |
| 14 | 28 | |
| 15 | 40 | |
| 16 | 100 | |
| 17 | 73 | |
| 18 | 57 | |
| 19 | 62 | |
| 20 | 73 |
About Fasiha Kanwal
Fasiha Kanwal is a scholar working on Hepatology, Epidemiology and Transplantation, having authored 221 papers that have together received 11.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (153 papers), Liver Disease and Transplantation (89 papers) and Hepatitis C virus research (56 papers). The work is most often cited by research in Hepatology (6.5k citations), Epidemiology (7.7k citations) and Endocrinology, Diabetes and Metabolism (1.5k citations). Fasiha Kanwal has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Hashem B. El‐Serag, Jennifer R. Kramer, Amit G. Singal, Donna L. White, Jessica A. Davila, Aaron P. Thrift, Peter Richardson, Steven M. Asch, Josep M. Llovet and Yamini Natarajan. Their work appears in journals such as Circulation, Annals of Internal Medicine 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.