Eda Kaya

969 citations
40 papers · 619 · h-index 14

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease Diagnosis and Treatment

Papers in

Eda Kaya

34 papers receiving 614 citations

Peers

Eda Kaya
Comparison fields: 5 of 62
  • Hepatology 113
  • Epidemiology 436
  • Endocrinology, Diabetes and Metabolism 134
  • Pathology and Forensic Medicine 62
  • Physiology 45
Replace Apichat Kaewdech with:
Apichat Kaewdech Thailand
Michihiro Iwaki Japan
Mauro Maurantonio Italy
Amanda Wieland United States
Yunhao Xun China
Sanja Stojsavljević Croatia
Hakan Akın Türkiye
S. Lenta Italy
Xuying Tan China
Ahmed Abu-Shanab Ireland
Eda Kaya relative to Apichat Kaewdech Thailand Apichat Kaewdech's profile →
Citations per field
00.5×5×10×16.8×
Apichat Kaewdech · 1×
Citations per year

Countries citing papers authored by Eda Kaya

Since Specialization
Citations

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

Fields of papers citing papers by Eda Kaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021130
2 201955
3 201947
4 202044
5 201939
6 202035
7 201929
8 201929
9 201924
10 202223
11 201818
12 201617
13 202117
14 202315
15 201912
16 202112
17 202111
18 20248
19 20217
20 20246

About Eda Kaya

Eda Kaya is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Hepatology and Surgery, having authored 40 papers that have together received 619 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (25 papers), Diet, Metabolism, and Disease (6 papers), Alcohol Consumption and Health Effects (4 papers), Liver Diseases and Immunity (3 papers), Liver Disease and Transplantation (3 papers), Diet and metabolism studies (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Hepatology (113 citations), Epidemiology (436 citations), Endocrinology, Diabetes and Metabolism (134 citations), Pathology and Forensic Medicine (62 citations) and Physiology (45 citations). Eda Kaya has collaborated with scholars based in Türkiye, Germany and United States. Frequent co-authors include Yusuf Yılmaz, Alev Bakır, Haluk Tarık Kani, Coşkun Özer Demirtaş, Feruze Yılmaz Enç, Sinan Trabulus, Nurhan Seyahi, Celal Ulaşoğlu, Paul Manka and Wing‐Kin Syn. Their work appears in journals such as European Journal of Gastroenterology & Hepatology, Digestive Diseases and Sciences, Expert Opinion on Investigational Drugs, Medicine and International Journal of Food Microbiology.

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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