Ayşegül Erman

719 citations
25 papers · 423 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
  • Urology top 5%
    • Urinary Bladder and Prostate Research

Papers in

    • Hepatitis C virus research 11
    • Hepatitis B Virus Studies 4
    • Liver Disease Diagnosis and Treatment 4

Ayşegül Erman

24 papers receiving 415 citations

Peers

Ayşegül Erman
Comparison fields: 5 of 71
  • Hepatology 96
  • Urology 55
  • Cell Biology 91
  • Epidemiology 88
  • Modeling and Simulation 11
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Ryan Evans United States
Anne C. Campbell United Kingdom
Paraskevi Goggolidou United Kingdom
Chanisada Wongpraparut Thailand
Maria Lindh Sweden
Peyda Korhan Türkiye
Bartholomew Dzudzor Ghana
Hakan Yüceyar Türkiye
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Citations per field
00.5×10×13.8×
Ryan Evans · 1×
Citations per year

Countries citing papers authored by Ayşegül Erman

Since Specialization
Citations

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

Fields of papers citing papers by Ayşegül Erman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008128
2 201131
3 201929
4 202129
5 201727
6 201726
7 202222
8 201921
9 201119
10 201817
11 201813
12 20149
13 20198
14 20227
15 20226
16 20236
17 20245
18 20224
19 20194
20 20054

About Ayşegül Erman

Ayşegül Erman is a scholar working on Hepatology, Epidemiology, Urology, Molecular Biology and Clinical Psychology, having authored 25 papers that have together received 423 indexed citations. Recurring topics across this work include Hepatitis C virus research (11 papers), Hepatitis B Virus Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Urinary Bladder and Prostate Research (4 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), COVID-19 and Mental Health (2 papers), Estrogen and related hormone effects (1 paper) and Vaccine Coverage and Hesitancy (1 paper). The work is most often cited by research in Hepatology (96 citations), Urology (55 citations), Cell Biology (91 citations), Epidemiology (88 citations) and Modeling and Simulation (11 citations). Ayşegül Erman has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Murray Krahn, William Wong, Mike Medeiros, Jordan J. Feld, Cynthia G. Goodyer, Kurt Dejgaard, John F. Presley, Selma Y. Dejgaard, Dean Elterman and Rainer Pepperkok. Their work appears in journals such as International Journal of Obesity, Liver International, Prostate Cancer and Prostatic Diseases, British Journal of Urology and Social Science & Medicine.

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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