Fiona Oakley

10.1k citations
105 papers · 6.0k indexed · 2 hit papers · h-index 41

Impact in

  • Hepatology top 0.5%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Aging top 1%

Papers in

Fiona Oakley

105 papers receiving 6.0k citations

Hit Papers

Nonalcoholic Fatty Liver Disease: Pathogenesis and Disease Spectrum 2016 · 470 citations
4702014202620182022100200300400500

Peers

Fiona Oakley
Comparison fields: 5 of 138
  • Hepatology 1.7k
  • Aging 167
  • Epidemiology 2.2k
  • Cancer Research 843
  • Immunology 846
Replace Jelena Mann with:
Jelena Mann United Kingdom
Heather Francis United States
Shannon Glaser United States
Fanyin Meng United States
Gianfranco Alpini United States
Davide D’Amico Italy
Naoko Ohtani Japan
Neus Prats Spain
Domenico Alvaro Italy
Xiao‐Ming Yin United States
Fiona Oakley relative to Jelena Mann United Kingdom Jelena Mann's profile →
Citations per field
00.5×2.8×
Jelena Mann · 1×
Citations per year

Countries citing papers authored by Fiona Oakley

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Oakley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fiona Oakley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fiona Oakley Line = papers co-authored together Fiona Oakley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20243
4 202214
5 20223
6 202139
7 20211
8 20213
9 202110
10 2020101
11 201938
12 20197
13 201716
14
Chronic inflammation induces telomere dysfunction and accelerates ageing in mice
Hit paper breakdown →
2014593
15 201234
16 201168
17 200845
18 200641
19 2006213
20 2005341

About Fiona Oakley

Fiona Oakley is a scholar working on Hepatology, Cancer Research, Aging, Epidemiology and Immunology, having authored 105 papers that have together received 6.0k indexed citations. Recurring topics across this work include Liver physiology and pathology (35 papers), Liver Disease Diagnosis and Treatment (32 papers), NF-κB Signaling Pathways (15 papers), Immune Response and Inflammation (10 papers), Pancreatic function and diabetes (7 papers), Hepatitis B Virus Studies (6 papers), 3D Printing in Biomedical Research (6 papers) and Genetics and Neurodevelopmental Disorders (6 papers). The work is most often cited by research in Hepatology (1.7k citations), Aging (167 citations), Epidemiology (2.2k citations), Cancer Research (843 citations) and Immunology (846 citations). Fiona Oakley has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Derek A. Mann, Jelena Mann, Ahmed M. Elsharkawy, Quentin M. Anstee, Timothy Hardy, Christopher P. Day, Caroline Wilson, Hidekazu Tsukamoto, Nicola Fullard and Alastair D. Burt. Their work appears in journals such as Journal of Hepatology, Hepatology, American Journal Of Pathology, Scientific Reports and The International Journal of Biochemistry & Cell Biology.

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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