Can Ateş

78 papers receiving 998 citations

Peers

Can Ateş
Comparison fields: 5 of 135
  • Reproductive Medicine 119
  • Obstetrics and Gynecology 58
  • Molecular Medicine 41
  • Internal Medicine 23
  • Critical Care and Intensive Care Medicine 28
Replace Saeideh Mazloomzadeh with:
Saeideh Mazloomzadeh Iran
Felix Bratosin Romania
Halil Başar Türkiye
Melissa S. Barber United States
Ahmad Hosseinzadeh Adli Iran
Fang Sun China
Suthanthira Kannan S United States
Mengistie Kassahun Tariku Ethiopia
Ivan Cortinovis Italy
Guo‐Wen Sun United States
Can Ateş relative to Saeideh Mazloomzadeh Iran Saeideh Mazloomzadeh's profile →
Citations per field
00.5×2×4×5.9×
Saeideh Mazloomzadeh · 1×
Citations per year

Countries citing papers authored by Can Ateş

Since Specialization
Citations

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

Fields of papers citing papers by Can Ateş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019120
2 201546
3 201644
4 201440
5 200936
6 201333
7 201431
8 201529
9 201228
10 201627
11 201427
12 201426
13 201925
14 202124
15 201324
16 201423
17 201522
18 201122
19 201521
20 201419

About Can Ateş

Can Ateş is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Epidemiology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ovarian function and disorders (8 papers), Respiratory Support and Mechanisms (4 papers), Reproductive Biology and Fertility (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Reproductive Medicine (119 citations), Obstetrics and Gynecology (58 citations), Molecular Medicine (41 citations), Internal Medicine (23 citations) and Critical Care and Intensive Care Medicine (28 citations). Can Ateş has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Mustafa Agâh Tekindal, Emre H. Kale, Yavuz Emre Şükür, Tanıl Kendirli, Bülent Berker, Çağlar Ödek, Cem Somer Atabekoğlu, Murat Sönmezer, Batuhan Özmen and Hatice Kılıç. Their work appears in journals such as European Journal of Obstetrics & Gynecology and Reproductive Biology, PeerJ, Journal of Clinical Immunology, Archives of Gynecology and Obstetrics and The Journal of Nervous and Mental Disease.

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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