Cavit Çulha

509 citations
34 papers · 386 · h-index 11

Impact in

Papers in

Cavit Çulha

31 papers receiving 380 citations

Peers

Cavit Çulha
Comparison fields: 5 of 69
  • Reproductive Medicine 83
  • Endocrinology, Diabetes and Metabolism 109
  • Obstetrics and Gynecology 40
  • Endocrine and Autonomic Systems 24
  • Nephrology 22
Replace Evrim Çakır with:
Evrim Çakır Türkiye
Oya Topaloğlu Türkiye
Katarzyna Siewko Poland
Gülhan Akbaba Türkiye
İbrahim Gülhan Türkiye
Yasemin Tütüncü Türkiye
Riccardo Giorgino Italy
Anastasia Diamandi United States
Alessandra Gatti Italy
Rolf Michael Klein Germany
Cavit Çulha relative to Evrim Çakır Türkiye Evrim Çakır's profile →
Citations per field
00.5×1.5×2.4×
Evrim Çakır · 1×
Citations per year

Countries citing papers authored by Cavit Çulha

Since Specialization
Citations

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

Fields of papers citing papers by Cavit Çulha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201354
2 201049
3 201037
4 200630
5 200428
6 201927
7 200222
8 200821
9 201620
10 201119
11 201718
12 200310
13 20239
14 20206
15 20205
16 20115
17 20214
18 20234
19 20223
20 20172

About Cavit Çulha

Cavit Çulha is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Physiology and Reproductive Medicine, having authored 34 papers that have together received 386 indexed citations. Recurring topics across this work include Ovarian function and disorders (7 papers), Diabetes Treatment and Management (4 papers), Diet and metabolism studies (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Parathyroid Disorders and Treatments (3 papers), Adipose Tissue and Metabolism (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Reproductive Medicine (83 citations), Endocrinology, Diabetes and Metabolism (109 citations), Obstetrics and Gynecology (40 citations), Endocrine and Autonomic Systems (24 citations) and Nephrology (22 citations). Cavit Çulha has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Yalçın Aral, Rüştü Serter, Süheyla Görar, Berrin Demi̇rbaş, Serdar Güler, Feridun Karakurt, Neşe Ersöz Gülçelik, Yavuz Demır, Çağatay Taşkapan and Uğur Koçer. Their work appears in journals such as Hormone Research in Paediatrics, Current Aging Science, Advances in Therapy, Human Mutation and Eye.

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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