Roxanne Desiderio

974 total citations · 2 hit papers
9 papers, 694 citations indexed

About

Roxanne Desiderio is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Hepatology. According to data from OpenAlex, Roxanne Desiderio has authored 9 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Hepatology. Recurrent topics in Roxanne Desiderio's work include Liver Disease Diagnosis and Treatment (6 papers), Diet, Metabolism, and Disease (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Roxanne Desiderio is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Diet, Metabolism, and Disease (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Roxanne Desiderio collaborates with scholars based in United States. Roxanne Desiderio's co-authors include Jennifer R. Kramer, Fasiha Kanwal, Hashem B. El‐Serag, Liang Li, Steven M. Asch, Yamini Natarajan, Peter Richardson, Aaron P. Thrift, Jinna Chu and Srikar Mapakshi and has published in prestigious journals such as Gastroenterology, JAMA Internal Medicine and Digestive Diseases and Sciences.

In The Last Decade

Roxanne Desiderio

9 papers receiving 686 citations

Hit Papers

Risk of Hepatocellular Cancer in Patients With Non-Alcoho... 2018 2026 2020 2023 2018 2024 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roxanne Desiderio United States 5 538 345 166 85 81 9 694
Srikar Mapakshi United States 4 526 1.0× 392 1.1× 129 0.8× 70 0.8× 75 0.9× 9 656
Jinna Chu United States 5 526 1.0× 366 1.1× 135 0.8× 72 0.8× 78 1.0× 6 646
Mariam Ziayee United States 2 513 1.0× 356 1.0× 151 0.9× 88 1.0× 75 0.9× 3 635
Norihiro Imai Japan 13 399 0.7× 380 1.1× 95 0.6× 113 1.3× 79 1.0× 71 692
Sarah Temple United States 6 761 1.4× 652 1.9× 144 0.9× 114 1.3× 88 1.1× 16 953
Cameron T. Locklear United States 6 354 0.7× 221 0.6× 135 0.8× 83 1.0× 86 1.1× 7 503
Maki Tobari Japan 12 854 1.6× 513 1.5× 287 1.7× 107 1.3× 133 1.6× 31 974
Volker Penndorf Germany 7 365 0.7× 252 0.7× 110 0.7× 67 0.8× 54 0.7× 10 514
Steven Woon–Choy Tsang China 12 800 1.5× 459 1.3× 229 1.4× 46 0.5× 127 1.6× 15 899
Ilaria Serio Italy 9 570 1.1× 366 1.1× 197 1.2× 82 1.0× 73 0.9× 21 750

Countries citing papers authored by Roxanne Desiderio

Since Specialization
Citations

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

Fields of papers citing papers by Roxanne Desiderio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roxanne Desiderio

This figure shows the co-authorship network connecting the top 25 collaborators of Roxanne Desiderio. A scholar is included among the top collaborators of Roxanne Desiderio 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 Roxanne Desiderio. Roxanne Desiderio 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.
Kanwal, Fasiha, Jennifer R. Kramer, Liang Li, et al.. (2024). 2 ASSOCIATION OF GLUCAGON-LIKE PEPTIDE-1 AGONISTS WITH CIRRHOSIS AND HEPATOCELLULAR CANCER IN METABOLIC DYSFUNCTION ASSOCIATED STEATOTIC LIVER DISEASE (MASLD). Gastroenterology. 166(5). S–1539. 2 indexed citations
2.
Kanwal, Fasiha, Jennifer R. Kramer, Liang Li, et al.. (2024). GLP-1 Receptor Agonists and Risk for Cirrhosis and Related Complications in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease. JAMA Internal Medicine. 184(11). 1314–1314. 61 indexed citations breakdown →
3.
Kramer, Jennifer R., Christine Hartman, Donna L. White, et al.. (2019). Validation of HIV‐infected cohort identification using automated clinical data in the Department of Veterans Affairs. HIV Medicine. 20(8). 567–570. 21 indexed citations
4.
Thrift, Aaron P., Jennifer R. Kramer, Christine Hartman, et al.. (2019). Risk and Predictors of Esophageal and Stomach Cancers in HIV-Infected Veterans: A Matched Cohort Study. JAIDS Journal of Acquired Immune Deficiency Syndromes. 81(3). e65–e72. 16 indexed citations
5.
Kanwal, Fasiha, Jennifer R. Kramer, Srikar Mapakshi, et al.. (2018). Risk of Hepatocellular Cancer in Patients With Non-Alcoholic Fatty Liver Disease. Gastroenterology. 155(6). 1828–1837.e2. 558 indexed citations breakdown →
6.
Kanwal, Fasiha, Jennifer R. Kramer, Yamini Natarajan, et al.. (2018). 4 - Effect of Metabolic Traits on the Risk of Cirrhosis and Hepatocellular Cancer (HCC) in Non-Alcoholic Fatty Liver Disease (NAFLD). Gastroenterology. 154(6). S–1. 2 indexed citations
7.
Redman, Joseph S., Yamini Natarajan, Jason K. Hou, et al.. (2017). Accurate Identification of Fatty Liver Disease in Data Warehouse Utilizing Natural Language Processing. Digestive Diseases and Sciences. 62(10). 2713–2718. 27 indexed citations
8.
Kramer, Jennifer R., Michael Lin, Maneerat Chayanupatkul, et al.. (2017). Absolute Risk of Hepatocellular Carcinoma in a Large, Geographically and Ethnically Diverse Cohort of Patients with Non-Alcholic Fatty Liver Disease. Gastroenterology. 152(5). S683–S683. 4 indexed citations
9.
Redman, Joseph S., Yamini Natarajan, Jingqi Wang, et al.. (2017). Utilizing Natural Language Processing (NLP) to Accurately Identify Fatty Liver Disease. Gastroenterology. 152(5). S1115–S1115. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026