Tuğçe Apaydın

422 citations
35 papers · 223 · h-index 9

Impact in

Papers in

Tuğçe Apaydın

29 papers receiving 220 citations

Peers

Tuğçe Apaydın
Comparison fields: 5 of 54
  • Endocrinology, Diabetes and Metabolism 90
  • Obstetrics and Gynecology 15
  • Pathology and Forensic Medicine 35
  • Infectious Diseases 32
  • Nephrology 12
Replace Agnese Allora with:
Agnese Allora Italy
Riddhi Dasgupta India
Özlem Turhan İyidir Türkiye
Sema Hepşen Türkiye
Shaik Sarfaraz Nawaz Saudi Arabia
Michael Wolf Austria
Orit Twito Israel
C. Prinster Italy
Ziqi Tan China
Anjumanara Omar Kenya
Tuğçe Apaydın relative to Agnese Allora Italy Agnese Allora's profile →
Citations per field
00.5×
Agnese Allora · 1×
Citations per year

Countries citing papers authored by Tuğçe Apaydın

Since Specialization
Citations

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

Fields of papers citing papers by Tuğçe Apaydın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tuğçe Apaydın, 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 Tuğçe Apaydın Line = papers co-authored together Tuğçe Apaydın 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 202138
2 202223
3 202116
4 201914
5 201812
6 20219
7 20209
8 20209
9 20208
10 20208
11 20217
12 20217
13 20207
14 20217
15 20236
16 20246
17 20225
18 20215
19 20185
20 20234

About Tuğçe Apaydın

Tuğçe Apaydın is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Nephrology, having authored 35 papers that have together received 223 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Thyroid Disorders and Treatments (3 papers), Parathyroid Disorders and Treatments (3 papers), Advanced Glycation End Products research (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Vitamin D Research Studies (2 papers), Diabetic Foot Ulcer Assessment and Management (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (90 citations), Obstetrics and Gynecology (15 citations), Pathology and Forensic Medicine (35 citations), Infectious Diseases (32 citations) and Nephrology (12 citations). Tuğçe Apaydın has collaborated with scholars based in Türkiye, United States and Netherlands. Frequent co-authors include Dilek Gogaş Yavuz, Goncagül Haklar, Can Ilgın, Hülya Ilıksu Gözü, Pınar Kadıoğlu, Hande Mefkure Özkaya, Meliha Melin Uygur, Pınar Ata, Elif Tükenmez Tigen and Kamil Çam. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Obesity Surgery, Microvascular Research, iScience and Neuroradiology.

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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