İlknur Arslanoğlu

644 citations
40 papers · 432 indexed · h-index 14

İlknur Arslanoğlu

34 papers receiving 419 citations

Peers

İlknur Arslanoğlu
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 230
  • Genetics 117
  • Pediatrics, Perinatology and Child Health 67
  • Endocrine and Autonomic Systems 21
  • Hematology 26
Replace Pınar İşgüven with:
Pınar İşgüven Türkiye
Orhun Çamurdan Türkiye
Erdal Adal Türkiye
María Isabel Hernández Chile
Raquel Barrio Spain
Deborah A. Elder United States
Clelia Cipolla Italy
Véronique Beauloye Belgium
Mira S. Zantout Lebanon
L.A. Schellekens Netherlands
İlknur Arslanoğlu relative to Pınar İşgüven Türkiye Pınar İşgüven's profile →
Citations per field
00.5×1.5×1.8×
Pınar İşgüven · 1×
Citations per year

Countries citing papers authored by İlknur Arslanoğlu

Since Specialization
Citations

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

Fields of papers citing papers by İlknur Arslanoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20230
4 20226
5 20213
6 201460
7 201114
8
Supraventriküker taşikardi ile kendini gösteren üç aylık tuberoskleroz olgusu
20091
9 200811
10 200737
11 200724
12 200510
13 20032
14 200318
15 200222
16 20021
17 200126
18 20019
19 20003
20 200012

About İlknur Arslanoğlu

İlknur Arslanoğlu is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Endocrine and Autonomic Systems, Reproductive Medicine and Physiology, having authored 40 papers that have together received 432 indexed citations. Recurring topics across this work include Diabetes Management and Research (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Diabetes and associated disorders (7 papers), Sexual Differentiation and Disorders (5 papers), Diet and metabolism studies (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Pancreatic function and diabetes (4 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (230 citations), Genetics (117 citations), Pediatrics, Perinatology and Child Health (67 citations), Endocrine and Autonomic Systems (21 citations) and Hematology (26 citations). İlknur Arslanoğlu has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Pınar İşgüven, Metin Yıldız, Rüveyde Bundak, Feyza Darendelıler, Hülya Günöz, Semih Bolu, Erdal Adal, Müferet Ergüven, Firdevs Baş and Bülent Çeti̇n. Their work appears in journals such as Pediatric Diabetes, Hormone Research in Paediatrics, Neuroradiology, The Journal of Clinical Endocrinology & Metabolism and Journal of Pediatric Endocrinology and Metabolism.

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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