Gönül Çatlı

2.3k citations
95 papers · 1.3k · h-index 19

Impact in

Papers in

Gönül Çatlı

88 papers receiving 1.2k citations

Peers

Gönül Çatlı
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 175
  • Endocrinology, Diabetes and Metabolism 397
  • Genetics 302
  • Reproductive Medicine 82
  • Nutrition and Dietetics 132
Replace Anna Grandone with:
Anna Grandone Italy
Bumin Nuri Dündar Türkiye
Samim Özen Türkiye
Peyamı Cınaz Türkiye
Dagmar l’Allemand Switzerland
Zehra Aycan Türkiye
Giorgio Radetti Italy
Gary M. Leong Australia
D. Cortelazzi Italy
Jolanda M. H. Elbers Netherlands
Gönül Çatlı relative to Anna Grandone Italy Anna Grandone's profile →
Citations per field
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Anna Grandone · 1×
Citations per year

Countries citing papers authored by Gönül Çatlı

Since Specialization
Citations

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

Fields of papers citing papers by Gönül Çatlı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015129
2 201471
3 201659
4 201359
5 201455
6 201048
7 201645
8 201643
9 201540
10 201432
11 201631
12 201229
13 201527
14 201424
15 201623
16 201523
17 201822
18 201821
19 201820
20 201418

About Gönül Çatlı

Gönül Çatlı is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Endocrine and Autonomic Systems, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Sexual Differentiation and Disorders (12 papers), Pancreatic function and diabetes (11 papers), Thyroid Disorders and Treatments (10 papers), Regulation of Appetite and Obesity (10 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (8 papers), Diabetes and associated disorders (7 papers) and Pituitary Gland Disorders and Treatments (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (175 citations), Endocrinology, Diabetes and Metabolism (397 citations), Genetics (302 citations), Reproductive Medicine (82 citations) and Nutrition and Dietetics (132 citations). Gönül Çatlı has collaborated with scholars based in Türkiye, United States and Netherlands. Frequent co-authors include Ayhan Abacı, Ece Böber, Ahmet Anık, Bumin Nuri Dündar, Tuncay Küme, Nihal Olgaç Dündar, Korcan Demir, Atilla Büyükgebiz, Özlem Gürsoy Çalan and Sezer Acar. Their work appears in journals such as Pediatric Diabetes, HORMONES, Endocrine Practice, Hormone Research in Paediatrics and Peptides.

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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