Dilek Arpacı

603 total citations
44 papers, 410 citations indexed

About

Dilek Arpacı is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Nephrology. According to data from OpenAlex, Dilek Arpacı has authored 44 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Surgery and 7 papers in Nephrology. Recurrent topics in Dilek Arpacı's work include Thyroid Cancer Diagnosis and Treatment (13 papers), Thyroid and Parathyroid Surgery (8 papers) and Parathyroid Disorders and Treatments (6 papers). Dilek Arpacı is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (13 papers), Thyroid and Parathyroid Surgery (8 papers) and Parathyroid Disorders and Treatments (6 papers). Dilek Arpacı collaborates with scholars based in Türkiye, South Korea and United States. Dilek Arpacı's co-authors include Bekir Çakır, Reyhan Ersoy, Neslihan Çuhacı, Didem Özdemir, Ali Tamer, Gülnur Güler, Düriye Deniz Demirseren, Gülşen Akoğlu, Selma Emre and Ahmet Metın and has published in prestigious journals such as SHILAP Revista de lepidopterología, Free Radical Biology and Medicine and American Journal of Clinical Dermatology.

In The Last Decade

Dilek Arpacı

41 papers receiving 397 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dilek Arpacı Türkiye 11 185 130 67 42 42 44 410
Gülhan Akbaba Türkiye 14 279 1.5× 204 1.6× 57 0.9× 52 1.2× 57 1.4× 38 555
Ayşen Akalın Türkiye 12 169 0.9× 68 0.5× 43 0.6× 56 1.3× 30 0.7× 43 411
Daniele Cappellani Italy 12 309 1.7× 88 0.7× 23 0.3× 90 2.1× 32 0.8× 30 495
D M Large United Kingdom 11 186 1.0× 75 0.6× 49 0.7× 44 1.0× 21 0.5× 25 469
Raiz Ahmad Misgar India 12 216 1.2× 94 0.7× 68 1.0× 28 0.7× 32 0.8× 35 427
Barbu Gociman United States 12 152 0.8× 202 1.6× 19 0.3× 18 0.4× 27 0.6× 54 530
F. Malgo Netherlands 10 80 0.4× 145 1.1× 36 0.5× 43 1.0× 76 1.8× 16 374
Hiroyasu Mori Japan 12 71 0.4× 55 0.4× 19 0.3× 152 3.6× 39 0.9× 37 638
Orsolya Tímár Hungary 9 62 0.3× 83 0.6× 18 0.3× 177 4.2× 90 2.1× 10 538
Xiaojing Cao China 13 107 0.6× 160 1.2× 65 1.0× 68 1.6× 88 2.1× 44 464

Countries citing papers authored by Dilek Arpacı

Since Specialization
Citations

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

Fields of papers citing papers by Dilek Arpacı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilek Arpacı

This figure shows the co-authorship network connecting the top 25 collaborators of Dilek Arpacı. A scholar is included among the top collaborators of Dilek Arpacı based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dilek Arpacı. Dilek Arpacı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Çelik, Sevim, et al.. (2019). Higher Levels of Serum TLR2 and TLR4 in Patients with Hashimoto's Thyroiditis. Endocrine Metabolic & Immune Disorders - Drug Targets. 20(1). 118–126. 12 indexed citations
2.
3.
Polat, Şefika Burçak, Dilek Arpacı, Aylin Kılıç Yazgan, et al.. (2016). Simultaneous Occurrence of Different Follicular Neoplasms within the Same Thyroid Gland. SHILAP Revista de lepidopterología. 20(2). 31–35. 3 indexed citations
4.
Arpacı, Dilek, et al.. (2016). Increased Serum Levels of IL-28 and IL-29 and the Protective Effect ofIL28Brs8099917 Polymorphism in Patients with Hashimoto’s Thyroiditis. Immunological Investigations. 45(7). 668–678. 19 indexed citations
5.
6.
Arpacı, Dilek, et al.. (2016). Epicardial Adipose Tissue Thickness in Patients With Subclinical Hypothyroidism and the Relationship Thereof With Visceral Adipose Tissue Thickness. Journal of Clinical Medicine Research. 8(3). 215–219. 6 indexed citations
7.
Yavuz, Di̇lek Gogas, Seda Sancak, Zeliha Hekimsoy, et al.. (2016). Impact of telephonic interviews on persistence and daily adherence to insulin treatment in insulin-naïve type 2 diabetes patients: dropout study. Patient Preference and Adherence. 10. 851–851. 7 indexed citations
8.
Çuhacı, Neslihan, Didem Özdemir, Dilek Arpacı, et al.. (2016). Concomitant thyroid lesions in patients with primary hyperparathyroidism. Asian Journal of Surgery. 40(5). 338–344. 8 indexed citations
9.
Arpacı, Dilek, Sevim Çelik, Murat Can, et al.. (2016). Serum paraoxonase level and paraoxonase polymorphism in patients with acromegaly. Redox Report. 21(6). 281–286.
10.
Arpacı, Dilek, et al.. (2015). The relationship between epicardial fat tissue thickness and visceral adipose tissue in lean patients with polycystic ovary syndrome. Journal of Ovarian Research. 8(1). 71–71. 15 indexed citations
11.
Arpacı, Dilek, et al.. (2014). HYPOGLYCEMIA CAUSED BY CIPROFLOXACIN IN A NON-DIABETIC ELDERLY PATIENT: A CASE REPORT. The Turkish Journal of Geriatrics. 17(4). 2 indexed citations
12.
Arpacı, Dilek, et al.. (2014). Sheehan′s syndrome co-existing with Graves′ disease. Nigerian Journal of Clinical Practice. 17(5). 662–662. 3 indexed citations
13.
Arpacı, Dilek, Didem Özdemir, Neslihan Çuhacı, et al.. (2014). Do repeatedly nondiagnostic fine needle aspirations of thyroid nodules predict malignancy risk?. Annals of Diagnostic Pathology. 18(5). 297–300. 2 indexed citations
14.
Arpacı, Dilek, Didem Özdemir, Neslihan Çuhacı, et al.. (2014). Evaluation of cytopathological findings in thyroid nodules with macrocalcification: macrocalcification is not innocent as it seems. Arquivos Brasileiros de Endocrinologia & Metabologia. 58(9). 939–945. 19 indexed citations
15.
16.
Demirseren, Düriye Deniz, Selma Emre, Gülşen Akoğlu, et al.. (2013). Relationship Between Skin Diseases and Extracutaneous Complications of Diabetes Mellitus: Clinical Analysis of 750 Patients. American Journal of Clinical Dermatology. 15(1). 65–70. 60 indexed citations
17.
Özdemir, Didem, Dilek Arpacı, Rıfki Üçler, et al.. (2012). Parathyroid incidentalomas detected during thyroid ultrasonography and effect of chronic thyroiditis on false positive parathyroid lesions. Endocrine. 42(3). 616–621. 7 indexed citations
18.
Özdemir, Didem, Dilek Arpacı, Rıfki Üçler, et al.. (2011). Suspected parathyroid lesions and incidentally detected parathyroid adenomas during thyroid ultrasonography. 26. 2 indexed citations
19.
Özdemir, Didem, Reyhan Ersoy, Neslihan Çuhacı, et al.. (2011). Classical and Follicular Variant Papillary Thyroid Carcinoma: Comparison of Clinical, Ultrasonographical, Cytological, and Histopathological Features in 444 Patients. Endocrine Pathology. 22(2). 58–65. 37 indexed citations
20.
Öztürk, Savaş, Dilek Arpacı, Halil Yazıcı, et al.. (2007). Outcomes of Acute Renal Failure Patients Requiring Intermittent Hemodialysis. Renal Failure. 29(8). 991–996. 8 indexed citations

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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