T. Küçükali

1.2k citations
61 papers · 842 · h-index 19

Impact in

Papers in

T. Küçükali

60 papers receiving 814 citations

Peers

T. Küçükali
Comparison fields: 5 of 64
  • Obstetrics and Gynecology 324
  • Reproductive Medicine 315
  • Microbiology 7
  • Dermatology 59
  • Epidemiology 216
Replace Patrick J. Connelly with:
Patrick J. Connelly United States
Gerrit dʼAblaing United States
Swei Hsueh Taiwan
Hilary A. McBride United Kingdom
Francesco Spina Italy
Theresa Perrone United States
Naoki Tsukamoto Japan
John L. Currie United States
Anisa Kanbour United States
Andrea Palicelli Italy
T. Küçükali relative to Patrick J. Connelly United States Patrick J. Connelly's profile →
Citations per field
00.5×5.3×
Patrick J. Connelly · 1×
Citations per year

Countries citing papers authored by T. Küçükali

Since Specialization
Citations

This map shows the geographic impact of T. Küçükali'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 T. Küçükali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Küçükali more than expected).

Fields of papers citing papers by T. Küçükali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199280
2 200747
3 200244
4 199432
5 199832
6 198731
7
Predictors of persistent disease in women with complete hydatidiform mole.
199630
8 200724
9 200923
10 200521
11 199521
12 199121
13 199421
14 200421
15 199520
16 200020
17 200319
18 200719
19 200018
20 200218

About T. Küçükali

T. Küçükali is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Epidemiology, Surgery and Pathology and Forensic Medicine, having authored 61 papers that have together received 842 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (20 papers), Endometrial and Cervical Cancer Treatments (18 papers), Uterine Myomas and Treatments (10 papers), Cervical Cancer and HPV Research (8 papers), Lysosomal Storage Disorders Research (5 papers), Endometriosis Research and Treatment (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Genital Health and Disease (5 papers). The work is most often cited by research in Obstetrics and Gynecology (324 citations), Reproductive Medicine (315 citations), Microbiology (7 citations), Dermatology (59 citations) and Epidemiology (216 citations). T. Küçükali has collaborated with scholars based in Türkiye, United States and Netherlands. Frequent co-authors include A. Ayhan, Ali̇ Ayhan, Alp Usubutün, Zafer Selçuk Tuncer, K. Yüce, Gülçin Altínok, Ömer Yalçın, Timur Gürgan, Çağatay Taşkıran and Rahime Tuncer. Their work appears in journals such as International Journal of Gynecological Cancer, Archives of Gynecology and Obstetrics, European Journal of Obstetrics & Gynecology and Reproductive Biology, International Journal of Gynecology & Obstetrics and Acta Obstetricia Et Gynecologica Scandinavica.

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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