Roberta Forlano

1.0k total citations
42 papers, 634 citations indexed

About

Roberta Forlano is a scholar working on Epidemiology, Hepatology and Physiology. According to data from OpenAlex, Roberta Forlano has authored 42 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Epidemiology, 16 papers in Hepatology and 6 papers in Physiology. Recurrent topics in Roberta Forlano's work include Liver Disease Diagnosis and Treatment (34 papers), Liver Disease and Transplantation (10 papers) and Diet, Metabolism, and Disease (5 papers). Roberta Forlano is often cited by papers focused on Liver Disease Diagnosis and Treatment (34 papers), Liver Disease and Transplantation (10 papers) and Diet, Metabolism, and Disease (5 papers). Roberta Forlano collaborates with scholars based in United Kingdom, Greece and United States. Roberta Forlano's co-authors include Pinelopi Manousou, Benjamin H. Mullish, Mark Thursz, Alexandros T. Tzallas, Νικόλαος Γιαννακέας, Markos G. Tsipouras, Robert Goldin, Michael Yee, Ameet Dhar and Rooshi Nathwani and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Roberta Forlano

40 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberta Forlano United Kingdom 14 398 161 106 104 99 42 634
Nicola Pugliese Italy 13 206 0.5× 118 0.7× 53 0.5× 166 1.6× 44 0.4× 58 573
Monica A. Konerman United States 16 772 1.9× 654 4.1× 137 1.3× 60 0.6× 72 0.7× 27 1.0k
Rafael S. Rios China 11 496 1.2× 179 1.1× 181 1.7× 238 2.3× 63 0.6× 29 806
Pavel Taimr Netherlands 13 449 1.1× 356 2.2× 110 1.0× 41 0.4× 44 0.4× 26 724
Abdulrahman Ismaiel Romania 13 363 0.9× 142 0.9× 160 1.5× 16 0.2× 87 0.9× 83 659
Wen‐Yue Liu China 12 342 0.9× 116 0.7× 82 0.8× 314 3.0× 51 0.5× 22 745
Güray Can Türkiye 14 176 0.4× 93 0.6× 46 0.4× 29 0.3× 84 0.8× 43 667
Paul Manka Germany 19 695 1.7× 621 3.9× 123 1.2× 61 0.6× 181 1.8× 59 1.1k
Raffaele Cozzolongo Italy 19 843 2.1× 685 4.3× 139 1.3× 58 0.6× 82 0.8× 63 1.1k

Countries citing papers authored by Roberta Forlano

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Forlano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberta Forlano

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

All Works

20 of 20 papers shown
1.
Pombo, Joaquim, Bin Sun, Suchira Gallage, et al.. (2024). Detection of senescence using machine learning algorithms based on nuclear features. Nature Communications. 15(1). 1041–1041. 39 indexed citations
2.
Colosimo, Santo, Dimitrios A. Koutoukidis, Thomas Marjot, et al.. (2024). Glycated haemoglobin is a major predictor of disease severity in patients with NAFLD. Diabetes Research and Clinical Practice. 217. 111820–111820. 5 indexed citations
3.
Olona, Antoni, Laura Halliday, Matthew L. Edin, et al.. (2024). Multi-tissue profiling of oxylipins reveal a conserved up-regulation of epoxide:diol ratio that associates with white adipose tissue inflammation and liver steatosis in obesity. EBioMedicine. 103. 105127–105127. 13 indexed citations
4.
Forlano, Roberta, Sahan Jayawardana, Benjamin H. Mullish, et al.. (2023). A prospective study on the prevalence of MASLD in people with type‐2 diabetes in the community. Cost effectiveness of screening strategies. Liver International. 44(1). 61–71. 23 indexed citations
5.
Huang, Jian, Benjamin H. Mullish, Dan Wang, et al.. (2023). Applying Lipidomics to Non-Alcoholic Fatty Liver Disease: A Clinical Perspective. Nutrients. 15(8). 1992–1992. 6 indexed citations
6.
Forlano, Roberta, Benjamin H. Mullish, Michael Yee, et al.. (2023). Metabolic Profile Reflects Stages of Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease. International Journal of Molecular Sciences. 24(4). 3563–3563. 3 indexed citations
7.
Forlano, Roberta, et al.. (2023). Screening for NAFLD—Current Knowledge and Challenges. Metabolites. 13(4). 536–536. 10 indexed citations
8.
Forlano, Roberta, Benjamin H. Mullish, Michael Yee, et al.. (2023). Metabolic profile reflects stages of fibrosis in patients with non-alcoholic fatty liver disease. Journal of Hepatology. 78. S719–S720. 1 indexed citations
9.
Forlano, Roberta, et al.. (2023). Fibrosis severity scoring on Sirius red histology with multiple-instance deep learning. SHILAP Revista de lepidopterología. 3. e17–e17. 3 indexed citations
10.
Eng, Pei Chia, Roberta Forlano, Tricia Tan, et al.. (2023). Non-alcoholic fatty liver disease in women – Current knowledge and emerging concepts. JHEP Reports. 5(10). 100835–100835. 39 indexed citations
11.
Christou, Vasileios, Alexandros T. Tzallas, Markos G. Tsipouras, et al.. (2022). Ensemble Convolutional Neural Network Classification for Pancreatic Steatosis Assessment in Biopsy Images. Information. 13(4). 160–160. 3 indexed citations
12.
Forlano, Roberta, Christopher Harlow, Benjamin H. Mullish, et al.. (2021). Binge‐eating disorder is associated with an unfavorable body mass composition in patients with non‐alcoholic fatty liver disease. International Journal of Eating Disorders. 54(11). 2025–2030. 7 indexed citations
13.
Forlano, Roberta, Benjamin H. Mullish, Ameet Dhar, et al.. (2021). Liver function tests and metabolic-associated fatty liver disease: Changes in upper normal limits, does it really matter?. World Journal of Hepatology. 13(12). 2104–2112. 9 indexed citations
14.
Tsipouras, Markos G., et al.. (2020). Quantification of Liver Fibrosis—A Comparative Study. Applied Sciences. 10(2). 447–447. 29 indexed citations
15.
Forlano, Roberta, Benjamin H. Mullish, Sujit Mukherjee, et al.. (2020). In-hospital mortality is associated with inflammatory response in NAFLD patients admitted for COVID-19. PLoS ONE. 15(10). e0240400–e0240400. 51 indexed citations
16.
Forlano, Roberta, Benjamin H. Mullish, Νικόλαος Γιαννακέας, et al.. (2019). High-Throughput, Machine Learning–Based Quantification of Steatosis, Inflammation, Ballooning, and Fibrosis in Biopsies From Patients With Nonalcoholic Fatty Liver Disease. Clinical Gastroenterology and Hepatology. 18(9). 2081–2090.e9. 96 indexed citations
17.
Abeles, R.D., Benjamin H. Mullish, Roberta Forlano, et al.. (2019). Derivation and validation of a cardiovascular risk score for prediction of major acute cardiovascular events in non‐alcoholic fatty liver disease; the importance of an elevated mean platelet volume. Alimentary Pharmacology & Therapeutics. 49(8). 1077–1085. 30 indexed citations
18.
Nathwani, Rooshi, et al.. (2019). Current and future pharmacological therapies for managing cirrhosis and its complications. World Journal of Gastroenterology. 25(8). 888–908. 28 indexed citations
19.
Forlano, Roberta, et al.. (2017). Assessment of non invasive markers of fibrosis against collagen quantitation and NASH-CRN scoring in liver biopsies of NAFLD patients. Spiral (Imperial College London). 1 indexed citations
20.
Γιαννακέας, Νικόλαος, Markos G. Tsipouras, Alexandros T. Tzallas, et al.. (2017). Measuring Steatosis in Liver Biopsies Using Machine Learning and Morphological Imaging. 40–44. 6 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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