Danielle Adebayo

665 citations
14 papers · 295 · h-index 9

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatitis Viruses Studies and Epidemiology
    • Liver physiology and pathology
    • Liver Diseases and Immunity
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver Disease and Transplantation 10
    • Liver Diseases and Immunity 1
    • Hepatitis Viruses Studies and Epidemiology 1
    • Liver Disease Diagnosis and Treatment 8

Danielle Adebayo

14 papers receiving 292 citations

Peers

Danielle Adebayo
Comparison fields: 5 of 51
  • Hepatology 211
  • Epidemiology 128
  • Pharmacology 33
  • Nephrology 25
  • Surgery 74
Replace Melanie B. White with:
Melanie B. White United States
Tamer Fouad Egypt
Nikolaus Pfisterer Austria
Andrew Kerry United Kingdom
Octavi Bassegoda Spain
Miriam Maschmeier Germany
Dimitrios S. Karagiannakis Greece
Alessandra Galioto Italy
Florence Vachiéry France
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Danielle Adebayo relative to Melanie B. White United States Melanie B. White's profile →
Citations per field
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Melanie B. White · 1×
Citations per year

Countries citing papers authored by Danielle Adebayo

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Adebayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Adebayo, 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 Danielle Adebayo Line = papers co-authored together Danielle Adebayo links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201458
2 201854
3 201833
4 202030
5 201826
6 201525
7 201921
8 202319
9 20208
10 20236
11 20146
12 20244
13 20223
14 20072

About Danielle Adebayo

Danielle Adebayo is a scholar working on Hepatology, Epidemiology, Surgery, Infectious Diseases and Nephrology, having authored 14 papers that have together received 295 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Organ Transplantation Techniques and Outcomes (6 papers), COVID-19 Clinical Research Studies (1 paper), Renal function and acid-base balance (1 paper), Liver Diseases and Immunity (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Hepatology (211 citations), Epidemiology (128 citations), Pharmacology (33 citations), Nephrology (25 citations) and Surgery (74 citations). Danielle Adebayo has collaborated with scholars based in United Kingdom, Canada and Italy. Frequent co-authors include Florence Wong, Rajiv Jalan, Vincenzo Morabito, Andrew Davenport, Fausto Andreola, Abeba Habtesion, Francesco De Chiara, Rajeshwar P. Mookerjee, Cornelius Engelmann and Amar P. Dhillon. Their work appears in journals such as Liver International, The American Journal of Gastroenterology, Clinical Gastroenterology and Hepatology, Clinics in Liver Disease and Alimentary Pharmacology & Therapeutics.

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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