Scarlett Lopez

595 total citations · 1 hit paper
9 papers, 340 citations indexed

About

Scarlett Lopez is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Scarlett Lopez has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Hepatology and 2 papers in Surgery. Recurrent topics in Scarlett Lopez's work include Liver Disease Diagnosis and Treatment (9 papers), Liver Disease and Transplantation (4 papers) and Liver Diseases and Immunity (3 papers). Scarlett Lopez is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Liver Disease and Transplantation (4 papers) and Liver Diseases and Immunity (3 papers). Scarlett Lopez collaborates with scholars based in United States, Singapore and South Korea. Scarlett Lopez's co-authors include Rohit Loomba, Ricki Bettencourt, Claude B. Sirlin, Egbert Madamba, Lisa Richards, Veeral Ajmera, Cynthia Behling, Heather Hofflich, Jinho Jung and Daniel Q. Huang and has published in prestigious journals such as Hepatology, Journal of Hepatology and Alimentary Pharmacology & Therapeutics.

In The Last Decade

Scarlett Lopez

9 papers receiving 336 citations

Hit Papers

A prospective study on the prevalence of NAFLD, advanced ... 2022 2026 2023 2024 2022 50 100 150

Peers

Scarlett Lopez
Scarlett Lopez
Citations per year, relative to Scarlett Lopez Scarlett Lopez (= 1×) peers Shui-Xian Du

Countries citing papers authored by Scarlett Lopez

Since Specialization
Citations

This map shows the geographic impact of Scarlett Lopez'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 Scarlett Lopez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scarlett Lopez more than expected).

Fields of papers citing papers by Scarlett Lopez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scarlett Lopez. 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 Scarlett Lopez. The network helps show where Scarlett Lopez may publish in the future.

Co-authorship network of co-authors of Scarlett Lopez

This figure shows the co-authorship network connecting the top 25 collaborators of Scarlett Lopez. A scholar is included among the top collaborators of Scarlett Lopez 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 Scarlett Lopez. Scarlett Lopez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Huang, Daniel Q., Nabil Noureddin, Harris Siddiqi, et al.. (2024). A Prospective Study on the Prevalence of MASLD in Patients With Type 2 Diabetes and Hyperferritinaemia. Alimentary Pharmacology & Therapeutics. 61(3). 456–464. 3 indexed citations
2.
Kuo, Selena Z., Jaclyn Bergstrom, Harris Siddiqi, et al.. (2023). Clinical utility of liver fat quantification for determining cardiovascular disease risk among patients with type 2 diabetes. Alimentary Pharmacology & Therapeutics. 58(6). 585–592. 14 indexed citations
3.
Huang, Daniel Q., Panu K. Luukkonen, Kimmo Porthan, et al.. (2023). Development and Validation of the Nonalcoholic Fatty Liver Disease Familial Risk Score to Detect Advanced Fibrosis: A Prospective, Multicenter Study. Clinical Gastroenterology and Hepatology. 22(1). 81–90.e4. 8 indexed citations
4.
Ajmera, Veeral, Erick Sandoval, Scarlett Lopez, et al.. (2023). Validation of AGA clinical care pathway and AASLD practice guidance for nonalcoholic fatty liver disease in a prospective cohort of patients with type 2 diabetes. Hepatology. 79(5). 1098–1106. 13 indexed citations
5.
Ajmera, Veeral, Scarlett Lopez, Vanessa Cervantes, et al.. (2023). Validation and expansion of the American gastroenterological association clinical care pathway for non-alcoholic fatty liver disease in a prospective cohort of patients with type 2 diabetes. Journal of Hepatology. 78. S648–S649. 1 indexed citations
6.
Ajmera, Veeral, Heather Hofflich, Scarlett Lopez, et al.. (2022). A prospective study on the prevalence of NAFLD, advanced fibrosis, cirrhosis and hepatocellular carcinoma in people with type 2 diabetes. Journal of Hepatology. 78(3). 471–478. 162 indexed citations breakdown →
7.
Huang, Daniel Q., Kathryn J. Fowler, Joy Liau, et al.. (2022). Comparative efficacy of an optimal exam between ultrasound versus abbreviated MRI for HCC screening in NAFLD cirrhosis: A prospective study. Alimentary Pharmacology & Therapeutics. 55(7). 820–827. 37 indexed citations
8.
Park, Jung Gil, Jinho Jung, Min Kyu Kang, et al.. (2021). Liver stiffness by magnetic resonance elastography is associated with increased risk of cardiovascular disease in patients with non‐alcoholic fatty liver disease. Alimentary Pharmacology & Therapeutics. 53(9). 1030–1037. 42 indexed citations
9.
Ajmera, Veeral, Seema Singh, Scarlett Lopez, et al.. (2019). Clinical Utility of an Increase in Magnetic Resonance Elastography in Predicting Fibrosis Progression in Nonalcoholic Fatty Liver Disease. Hepatology. 71(3). 849–860. 60 indexed citations

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.

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