Fatih Şendağ

1.2k citations
83 papers · 889 · h-index 17

Impact in

Papers in

    • Minimally Invasive Surgical Techniques 13
    • Surgical Simulation and Training 6
    • Uterine Myomas and Treatments 15
    • Gynecological conditions and treatments 11

Fatih Şendağ

79 papers receiving 851 citations

Peers

Fatih Şendağ
Comparison fields: 5 of 67
  • Obstetrics and Gynecology 238
  • Reproductive Medicine 138
  • Surgery 238
  • Rheumatology 79
  • Endocrinology, Diabetes and Metabolism 66
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Hsiao‐Wen Tsai Taiwan
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Ekaterini Domali Greece
Mehmet Coşkun Salman Türkiye
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Citations per year

Countries citing papers authored by Fatih Şendağ

Since Specialization
Citations

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

Fields of papers citing papers by Fatih Şendağ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200153
2 201447
3 200341
4 201441
5
Value of cervical phosphorylated insulinlike growth factor binding protein-1 in the prediction of preterm labor.
200440
6 200233
7
Maternal and perinatal outcomes in women with gestational diabetes mellitus as compared to nondiabetic controls.
200130
8 201430
9 201329
10 200227
11 201524
12 201522
13 201421
14
Different types of variable decelerations and their effects to neonatal outcome.
200316
15 201416
16 201616
17 201416
18 201316
19 200415
20 201514

About Fatih Şendağ

Fatih Şendağ is a scholar working on Surgery, Obstetrics and Gynecology, Reproductive Medicine, Epidemiology and Rheumatology, having authored 83 papers that have together received 889 indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (15 papers), Minimally Invasive Surgical Techniques (13 papers), Gynecological conditions and treatments (11 papers), Endometriosis Research and Treatment (7 papers), Pelvic floor disorders treatments (7 papers), Surgical Simulation and Training (6 papers), Ovarian function and disorders (5 papers) and Preterm Birth and Chorioamnionitis (4 papers). The work is most often cited by research in Obstetrics and Gynecology (238 citations), Reproductive Medicine (138 citations), Surgery (238 citations), Rheumatology (79 citations) and Endocrinology, Diabetes and Metabolism (66 citations). Fatih Şendağ has collaborated with scholars based in Türkiye, Japan and United States. Frequent co-authors include Ali Akdemir, Mustafa Coşan Terek, Burak Zeybek, Kemal Öztekin, Mert Kazandı, Serdar Özşener, Fuat Akercan, Volkan Turan, Ebru Sezer and Ahmet Özgür Yeniel. Their work appears in journals such as Journal of Minimally Invasive Gynecology, Archives of Gynecology and Obstetrics, European Journal of Obstetrics & Gynecology and Reproductive Biology, Australian and New Zealand Journal of Obstetrics and Gynaecology and International Journal of Gynecology & Obstetrics.

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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