Ayse Barut

782 citations
10 papers · 585 · h-index 7

Impact in

Papers in

    • Hepatitis B Virus Studies 3
    • Liver Disease Diagnosis and Treatment 2
    • Hepatitis Viruses Studies and Epidemiology 2
    • Liver Diseases and Immunity 1

Ayse Barut

10 papers receiving 570 citations

Peers

Ayse Barut
Comparison fields: 5 of 60
  • Pharmacology 192
  • Hepatology 130
  • Pediatrics, Perinatology and Child Health 129
  • Transplantation 18
  • Oncology 142
Replace Katryn N. Furuya with:
Katryn N. Furuya United States
Andreas K. Nuessler Germany
Ajit Sanghvi United States
Satoru Kakizaki Japan
Richard Ho United States
Jerry McGrath Canada
Ulrike Gradhand Germany
Hiromi Okabe Japan
J. Reichen Switzerland
Angelika Erwin United States
Ayse Barut relative to Katryn N. Furuya United States Katryn N. Furuya's profile →
Citations per field
00.5×2.7×
Katryn N. Furuya · 1×
Citations per year

Countries citing papers authored by Ayse Barut

Since Specialization
Citations

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

Fields of papers citing papers by Ayse Barut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ayse Barut, 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 Ayse Barut Line = papers co-authored together Ayse Barut links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2000204
2 2001103
3 200174
4 199974
5 200556
6 200134
7 200231
8
[Complement C3 and C4 levels in serum from acute viral hepatitis].
19925
9
[Relationship of histocompatibility groups to chronic HBV infections].
19932
10
[Incidence of hepatitis D virus infection in chronic hepatitis B virus carriers].
19922

About Ayse Barut

Ayse Barut is a scholar working on Epidemiology, Hepatology, Molecular Biology, Pharmacology and Infectious Diseases, having authored 10 papers that have together received 585 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), DNA Repair Mechanisms (1 paper), Liver Diseases and Immunity (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Pharmacology (192 citations), Hepatology (130 citations), Pediatrics, Perinatology and Child Health (129 citations), Transplantation (18 citations) and Oncology (142 citations). Ayse Barut has collaborated with scholars based in Germany, Türkiye and United States. Frequent co-authors include Christian P. Strassburg, Michael P. Manns, Robert H. Tukey, Petra Obermayer–Straub, Susanne Kneip, Arndt Vogel, M.P. Manns, H. Frank, Heiner Wedemeyer and Tim O. Lankisch. Their work appears in journals such as Gastroenterology, Journal of Hepatology, Molecular Pharmacology, Journal of Biological Chemistry and Zeitschrift für Gastroenterologie.

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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