Cavit Çulha

518 citations
35 papers · 393 · h-index 12

Impact in

Papers in

Cavit Çulha

31 papers receiving 387 citations

Peers

Cavit Çulha
Comparison fields: 5 of 60
  • Reproductive Medicine 77
  • Endocrinology, Diabetes and Metabolism 91
  • Obstetrics and Gynecology 34
  • Nephrology 22
  • Endocrine and Autonomic Systems 19
Replace M. Karadeniz with:
M. Karadeniz Türkiye
Nazlı Gönç Türkiye
Spyridon Gerou Greece
Yasemin Tütüncü Türkiye
Michail Varras Greece
Junko Tachi Japan
Anastasia Diamandi United States
Riccardo Giorgino Italy
Timothy Cheetham United Kingdom
Belma Haliloğlu Türkiye
Cavit Çulha relative to M. Karadeniz Türkiye M. Karadeniz's profile →
Citations per field
00.5×3.4×
M. Karadeniz · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201355
2 201049
3 201037
4 200630
5 200428
6 201928
7 200222
8 200821
9 201621
10 201119
11 201718
12 202311
13 200310
14 20207
15 20116
16 20205
17 20234
18 20214
19 20223
20 20172

About Cavit Çulha

Cavit Çulha is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Reproductive Medicine and Nephrology, having authored 35 papers that have together received 393 indexed citations. Recurring topics across this work include Ovarian function and disorders (5 papers), Diabetes Treatment and Management (3 papers), Diet and metabolism studies (3 papers), Gestational Diabetes Research and Management (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pharmacology and Obesity Treatment (2 papers), Thyroid and Parathyroid Surgery (2 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers). The work is most often cited by research in Reproductive Medicine (77 citations), Endocrinology, Diabetes and Metabolism (91 citations), Obstetrics and Gynecology (34 citations), Nephrology (22 citations) and Endocrine and Autonomic Systems (19 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, Serdar Güler, Berrin Demi̇rbaş, Neşe Ersöz Gülçelik, Feridun Karakurt, Uğur Koçer, Yavuz Demır and Gönül Koç. Their work appears in journals such as Hormone Research in Paediatrics, Journal of Diabetes, Advances in Therapy, Eye and Current Aging Science.

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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