Daniel Forton

7.3k total citations
53 papers, 2.4k citations indexed

About

Daniel Forton is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel Forton has authored 53 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Hepatology, 40 papers in Epidemiology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel Forton's work include Liver Disease Diagnosis and Treatment (37 papers), Hepatitis C virus research (35 papers) and Liver Disease and Transplantation (21 papers). Daniel Forton is often cited by papers focused on Liver Disease Diagnosis and Treatment (37 papers), Hepatitis C virus research (35 papers) and Liver Disease and Transplantation (21 papers). Daniel Forton collaborates with scholars based in United Kingdom, United States and Italy. Daniel Forton's co-authors include Simon D. Taylor‐Robinson, Howard C. Thomas, Graham R. Foster, Joanna Allsop, Keith Wesnes, Peter Karayiannis, Janice Main, Christine Murphy, Antonio Craxı̀ and Michael P. Manns and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Daniel Forton

50 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Forton United Kingdom 22 1.7k 1.5k 261 247 206 53 2.4k
Martin Schaefer Germany 25 1.1k 0.6× 1.0k 0.7× 468 1.8× 401 1.6× 171 0.8× 71 2.3k
Geert Robaeys Belgium 22 1.2k 0.7× 1.2k 0.8× 238 0.9× 558 2.3× 191 0.9× 94 2.1k
James R. Spivey United States 25 1.1k 0.6× 1.0k 0.7× 299 1.1× 866 3.5× 150 0.7× 55 3.1k
Michael R. Kraus Germany 22 770 0.5× 753 0.5× 225 0.9× 269 1.1× 65 0.3× 53 1.6k
Eric Dieperink United States 22 1.2k 0.7× 1.2k 0.8× 191 0.7× 218 0.9× 75 0.4× 36 1.7k
Bruce H. Phelps United States 21 638 0.4× 766 0.5× 277 1.1× 87 0.4× 245 1.2× 42 1.7k
Björn Ahl Germany 11 589 0.3× 522 0.4× 113 0.4× 48 0.2× 52 0.3× 14 860
Pascal Perney France 20 612 0.4× 706 0.5× 111 0.4× 21 0.1× 63 0.3× 80 1.4k
Andrey Borisov United States 14 266 0.2× 1.0k 0.7× 205 0.8× 551 2.2× 1.0k 4.9× 25 2.1k
Carlos Jacas Spain 18 1.0k 0.6× 917 0.6× 246 0.9× 12 0.0× 50 0.2× 38 1.6k

Countries citing papers authored by Daniel Forton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Forton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Forton

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Forton. A scholar is included among the top collaborators of Daniel Forton 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 Daniel Forton. Daniel Forton 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.
Franklin, James, Thomas G. Bird, Christopher Clarke, et al.. (2025). Standards for delivering ultrasound surveillance for hepatocellular cancer in the UK. Frontline Gastroenterology. flgastro–2024.
2.
Zhang, Yan, Ada W. C. Yan, Lies Boelen, et al.. (2023). KIR-HLA interactions extend human CD8+ T cell lifespan in vivo. Journal of Clinical Investigation. 133(12). 8 indexed citations
3.
Delo, Joseph, Daniel Forton, Evangelos Triantafyllou, & Arjuna Singanayagam. (2023). Peritoneal Immunity in Liver Disease. SHILAP Revista de lepidopterología. 3(2). 240–257.
4.
Bestwick, Jonathan P., William Gelson, Kosh Agarwal, et al.. (2020). English hepatitis C registry data show high response rates to directly acting anti‐virals, even if treatment is not completed. Alimentary Pharmacology & Therapeutics. 52(1). 168–181. 8 indexed citations
5.
Forton, Daniel, et al.. (2020). CHARACTERISTICS OF SARS-Cov2 AND LIVER CIRRHOSIS- A SINGLE-CENTRE EXPERIENCE IN THE UNITED KINGDOM. Hepatology. 72. 2 indexed citations
6.
Zajkowska, Zuzanna, Alessandra Borsini, Naghmeh Nikkheslat, et al.. (2020). Differential effect of interferon-alpha treatment on AEA and 2-AG levels. Brain Behavior and Immunity. 90. 248–258. 11 indexed citations
7.
Negro, Francesco, Daniel Forton, Antonio Craxı̀, et al.. (2015). Extrahepatic Morbidity and Mortality of Chronic Hepatitis C. Gastroenterology. 149(6). 1345–1360. 259 indexed citations
8.
Moreea, Sulleman, Edward White, Stephen Ryder, et al.. (2013). Extended duration therapy with pegylated interferon and ribavirin for patients with genotype 3 hepatitis C and advanced fibrosis: Final results from the STEPS trial. Journal of Hepatology. 60(4). 699–705. 13 indexed citations
9.
Grover, Vijay P.B., Nicola Pavese, Seong‐Beom Koh, et al.. (2011). Cerebral microglial activation in patients with hepatitis c: in vivo evidence of neuroinflammation. Journal of Viral Hepatitis. 19(2). e89–96. 105 indexed citations
10.
Gess, Markus, Susan J. Clark, Matthew Cowan, et al.. (2009). 401 FATIGUE IN CHRONIC HEPATITIS C INFECTION IS RELATED TO IMMUNE ACTIVATION AND ABNORMALITIES IN TRYPTOPHAN METABOLISM. Journal of Hepatology. 50. S151–S152. 2 indexed citations
11.
Thomson, Sam, Matthew Cowan, Daniel Forton, et al.. (2009). A study of muscle tissue oxygenation and peripheral microcirculatory dysfunction in cirrhosis using near infrared spectroscopy. Liver International. 30(3). 463–471. 20 indexed citations
12.
13.
Forton, Daniel, Joanna Allsop, I. Jane Cox, et al.. (2005). A review of cognitive impairment and cerebral metabolite abnormalities in patients with hepatitis C infection. AIDS. 19(Suppl 3). S53–S63. 67 indexed citations
14.
15.
Hamilton, Gavin, Nayna Patel, Daniel Forton, Joseph V. Hajnal, & Simon D. Taylor‐Robinson. (2003). Prior knowledge for time domain quantification of in vivo brain or liver 31P MR spectra. NMR in Biomedicine. 16(3). 168–176. 28 indexed citations
16.
Durante‐Mangoni, Emanuele, Daniel Forton, Giuseppe Ruggiero, & Peter Karayiannis. (2003). Hepatitis C virus E2 and NS5A region variability during sequential treatment with two interferon‐α preparations. Journal of Medical Virology. 70(1). 62–73. 20 indexed citations
17.
Forton, Daniel, Simon D. Taylor‐Robinson, & Howard C. Thomas. (2003). Cerebral dysfunction in chronic hepatitis C infection. Journal of Viral Hepatitis. 10(2). 81–86. 90 indexed citations
18.
Forton, Daniel, Mark Wright, Sylvia Knapp, et al.. (2002). New insights into hepatitis C. Clinical Medicine. 2(6). 554–559. 3 indexed citations
19.
Hoare, Jonathan & Daniel Forton. (2000). Current concepts in viral hepatitis.. PubMed Central. 34(5). 481–4.
20.
Thomas, H. C., M. Estée Török, Daniel Forton, & Simon D. Taylor‐Robinson. (1999). Possible mechanisms of action and reasons for failure of antiviral therapy in chronic hepatitis C. Journal of Hepatology. 31. 152–159. 52 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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