Nila Rafiq
- Epidemiology top 0.5%
- Hepatology top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Pathology and Forensic Medicine top 2%
- Surgery top 10%
- Co-authors
- Zobair M. YounossiMaria StepanovaZachary GoodmanManirath SrishordArthur J. McCulloughHala R. MakhloufZahra YounoszaiPegah Golabi
- Topics
- Liver Disease Diagnosis and Treatment (25 papers)Liver Disease and Transplantation (9 papers)Diet, Metabolism, and Disease (9 papers)
- Journals
- GastroenterologyHepatologyGut
- Partner nations
- United StatesAustraliaGreece
In The Last Decade
Nila Rafiq
25 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Epidemiology 2.8k
- Hepatology 1.4k
- Endocrinology, Diabetes and Metabolism 1.3k
- Pathology and Forensic Medicine 554
- Surgery 491
Countries citing papers authored by Nila Rafiq
This map shows the geographic impact of Nila Rafiq'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 Nila Rafiq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nila Rafiq more than expected).
Fields of papers citing papers by Nila Rafiq
This network shows the impact of papers produced by Nila Rafiq. 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 Nila Rafiq. The network helps show where Nila Rafiq may publish in the future.
Co-authorship network of co-authors of Nila Rafiq
This figure shows the co-authorship network connecting the top 25 collaborators of Nila Rafiq. A scholar is included among the top collaborators of Nila Rafiq 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 Nila Rafiq. Nila Rafiq is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Epidemiology of chronic liver diseases in the USA in the past three decadesbreakdown → | 387 |
| 2 | 165 | |
| 3 | 94 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 245 | |
| 7 | Pathologic criteria for nonalcoholic steatohepatitis: Interprotocol agreement and ability to predict liver-related mortalitybreakdown → | 461 |
| 8 | 126 | |
| 9 | 50 | |
| 10 | 21 | |
| 11 | 247 | |
| 12 | 1 | |
| 13 | 275 | |
| 14 | 53 | |
| 15 | 1 | |
| 16 | 18 | |
| 17 | 57 | |
| 18 | Long-Term Follow-Up of Patients With Nonalcoholic Fatty Liverbreakdown → | 583 |
| 19 | 212 | |
| 20 | 1 |
About Nila Rafiq
Nila Rafiq is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (25 papers), Liver Disease and Transplantation (9 papers) and Diet, Metabolism, and Disease (9 papers). The work is most often cited by research in Hepatology (1.4k citations), Epidemiology (2.8k citations) and Endocrinology, Diabetes and Metabolism (1.3k citations). Nila Rafiq has collaborated with scholars based in United States, Australia and Greece. Frequent co-authors include Zobair M. Younossi, Maria Stepanova, Zachary Goodman, Manirath Srishord, Arthur J. McCullough, Hala R. Makhlouf, Zahra Younoszai, Pegah Golabi, Terry Gramlich and Yun Fang. Their work appears in journals such as Gastroenterology, Hepatology and Gut.
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.