Gönül Koç
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Clinical Biochemistry top 10%
- Paraoxonase enzyme and polymorphisms
Papers in
-
- Thyroid Cancer Diagnosis and Treatment 4
- Thyroid Disorders and Treatments 3
- Diabetes Treatment and Management 2
- Surgery 9
- Pancreatic function and diabetes 2
- Co-authors
- Yalçın Aral (12 shared papers)Rüştü Serter (3 shared papers)Neşe Ersöz Gülçelik (4 shared papers)Sibel Güldiken (1 shared paper)Erman Çakal (1 shared paper)Babürhan Güldiken (1 shared paper)Armağan Tuğrul (1 shared paper)Nilda Turgut (1 shared paper)
In The Last Decade
Gönül Koç
27 papers receiving 347 citations
Gönül Koç's Hit Papers
Peers
Comparison fields: 5 of 84
- Health Informatics 38
- Clinical Biochemistry 39
- Gastroenterology 27
- Endocrinology, Diabetes and Metabolism 79
- Obstetrics and Gynecology 32
Countries citing papers authored by Gönül Koç
This map shows the geographic impact of Gönül Koç'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 Gönül Koç with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gönül Koç more than expected).
Fields of papers citing papers by Gönül Koç
This network shows the impact of papers produced by Gönül Koç. 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 Gönül Koç. The network helps show where Gönül Koç may publish in the future.
Co-authors
The 25 scholars most cited alongside Gönül Koç, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 67 | |
| 2 | Evaluation of the reliability and readability of ChatGPT-4 responses regarding hypothyroidism during pregnancy Hit paper breakdown → | 2024 | 59 |
| 3 | 2009 | 52 | |
| 4 | 2013 | 28 | |
| 5 | 2011 | 21 | |
| 6 | 2016 | 20 | |
| 7 | 2008 | 18 | |
| 8 | 2019 | 18 | |
| 9 | 2011 | 15 | |
| 10 | 2020 | 13 | |
| 11 | 2023 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2003 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2024 | 2 |
About Gönül Koç
Gönül Koç is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Obstetrics and Gynecology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 370 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (4 papers), Thyroid Disorders and Treatments (3 papers), Diabetes Treatment and Management (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Gestational Diabetes Research and Management (2 papers), Cynara cardunculus studies (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Health Informatics (38 citations), Clinical Biochemistry (39 citations), Gastroenterology (27 citations), Endocrinology, Diabetes and Metabolism (79 citations) and Obstetrics and Gynecology (32 citations). Gönül Koç has collaborated with scholars based in Türkiye, Cambodia and Somalia. Frequent co-authors include Yalçın Aral, Rüştü Serter, Neşe Ersöz Gülçelik, Sibel Güldiken, Erman Çakal, Babürhan Güldiken, Armağan Tuğrul, Nilda Turgut, Emın Kaya and Asuman Karakaya. Their work appears in journals such as Toxicology and Industrial Health, Scientific Reports, Biological Trace Element Research, Journal of the National Medical Association and Endocrine Practice.
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.