Kadir Demircan

1.3k total citations
53 papers, 1.0k citations indexed

About

Kadir Demircan is a scholar working on Cancer Research, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Kadir Demircan has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cancer Research, 18 papers in Molecular Biology and 11 papers in Immunology and Allergy. Recurrent topics in Kadir Demircan's work include Protease and Inhibitor Mechanisms (16 papers), Cell Adhesion Molecules Research (11 papers) and Osteoarthritis Treatment and Mechanisms (10 papers). Kadir Demircan is often cited by papers focused on Protease and Inhibitor Mechanisms (16 papers), Cell Adhesion Molecules Research (11 papers) and Osteoarthritis Treatment and Mechanisms (10 papers). Kadir Demircan collaborates with scholars based in Türkiye, Japan and United States. Kadir Demircan's co-authors include Satoshi Hirohata, Yoshifumi Ninomiya, Ömer Faruk Hatipoğlu, Shozo Kusachi, Esra Gündüz, Hitoshi Nagatsuka, Levent Beder, Kenji Shimizu, Tomoko Yonezawa and Beyhan Cengiz and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The FASEB Journal.

In The Last Decade

Kadir Demircan

52 papers receiving 996 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kadir Demircan Türkiye 17 463 295 165 155 153 53 1.0k
Sébastien Le Jan France 18 566 1.2× 382 1.3× 124 0.8× 161 1.0× 309 2.0× 25 1.5k
Melissa Swinnen Belgium 16 600 1.3× 324 1.1× 146 0.9× 108 0.7× 83 0.5× 24 1.2k
Irene Krukovets United States 20 764 1.7× 314 1.1× 207 1.3× 117 0.8× 64 0.4× 29 1.3k
Ming Su United States 12 377 0.8× 162 0.5× 96 0.6× 96 0.6× 60 0.4× 24 884
Cédric Boudot France 19 394 0.9× 131 0.4× 226 1.4× 68 0.4× 105 0.7× 35 1.1k
A Gockerman United States 9 772 1.7× 391 1.3× 103 0.6× 132 0.9× 63 0.4× 10 1.5k
Keiko Kawai‐Kowase Japan 19 896 1.9× 188 0.6× 107 0.6× 71 0.5× 92 0.6× 28 1.3k
Cuiling Li China 13 574 1.2× 139 0.5× 91 0.6× 85 0.5× 401 2.6× 33 1.5k
J B Weiss United Kingdom 19 486 1.0× 180 0.6× 157 1.0× 132 0.9× 204 1.3× 36 1.0k
Kunio Yasunaga Japan 10 544 1.2× 373 1.3× 151 0.9× 71 0.5× 47 0.3× 13 1.2k

Countries citing papers authored by Kadir Demircan

Since Specialization
Citations

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

Fields of papers citing papers by Kadir Demircan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kadir Demircan

This figure shows the co-authorship network connecting the top 25 collaborators of Kadir Demircan. A scholar is included among the top collaborators of Kadir Demircan 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 Kadir Demircan. Kadir Demircan 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.
Mathers, John C., Carmen Martín-Ruiz, Claire E. Parker, et al.. (2024). The association between selenium status and cognitive decline in very old adults: The Newcastle 85+ Study. Proceedings of The Nutrition Society. 83(OCE2). 1 indexed citations
2.
Demircan, Kadir, et al.. (2020). A teenager presenting with anuric acute renal failure and metabolic acidosis with a high anion gap: Answers. Pediatric Nephrology. 35(12). 2257–2258. 1 indexed citations
3.
Armutçu, Ferah, Kadir Demircan, Ümran Yıldırım, et al.. (2019). Hypoxia causes important changes of extracellular matrix biomarkers and ADAMTS proteinases in the adriamycin‐induced renal fibrosis model. Nephrology. 24(8). 863–875. 14 indexed citations
4.
Atalar, Hakan, et al.. (2019). The role of ADAMTS genes in the end stage of hip osteoarthritis. Acta Orthopaedica et Traumatologica Turcica. 53(2). 140–144. 7 indexed citations
5.
Gök, Kevser, et al.. (2016). Relationship between cytosine‐adenine repeat polymorphism of ADAMTS9 gene and clinical and radiologic severity of knee osteoarthritis. International Journal of Rheumatic Diseases. 21(4). 821–827. 8 indexed citations
6.
Kalem, Müberra Namlι, et al.. (2016). Matricellular Proteins and Related ADAMTS Genes in Infertility. 27(3). 138–149. 4 indexed citations
7.
Akyol, Sümeyya, et al.. (2015). The Investigation of ADAMTS16 in Insulin-Induced Human Chondrosarcoma Cells. Cancer Biotherapy and Radiopharmaceuticals. 30(6). 255–260. 4 indexed citations
8.
Demircan, Kadir, et al.. (2014). A new biological marker candidate in female reproductive system diseases: Matrix metalloproteinase with thrombospondin motifs (ADAMTS). Journal of the Turkish-German Gynecological Association. 15(4). 250–255. 23 indexed citations
9.
10.
Çam, Fethi Sırrı, et al.. (2014). A novel association between TGFb1 and ADAMTS4 in coronary artery disease: A new potential mechanism in the progression of atherosclerosis and diabetes. The Anatolian Journal of Cardiology. 15(10). 823–829. 13 indexed citations
11.
Demircan, Kadir, et al.. (2013). A Multi-Functional Gene Family From Arthritis to Cancer: A Disintegrin-Like Metalloproteinase with Thrombospondin Type-1 Motif (ADAMTS). The Annals of Clinical and Analytical Medicine. 4(5). 15 indexed citations
12.
Çelik, Hamit, Gönül Erden, Gülfer Öztürk, et al.. (2013). Association of collagen type I alpha 1 gene polymorphism with inguinal hernia. Hernia. 18(4). 507–512. 21 indexed citations
13.
Uysal, Sema, Serpil Erdoğan, Sümeyya Akyol, et al.. (2012). Augmentation of ADAMTS9 gene expression by IL‐1β is reversed by NFκB and MAPK inhibitors, but not PI3 kinase inhibitors. Cell Biochemistry and Function. 31(7). 539–544. 15 indexed citations
14.
15.
Demircan, Kadir, Esra Gündüz, Mehmet Gündüz, et al.. (2009). Increased mRNA expression of ADAMTS metalloproteinases in metastatic foci of head and neck cancer. Head & Neck. 31(6). 793–801. 47 indexed citations
16.
Hatipoğlu, Ömer Faruk, Satoshi Hirohata, Hiroko Ogawa, et al.. (2009). ADAMTS1 Is a Unique Hypoxic Early Response Gene Expressed by Endothelial Cells. Journal of Biological Chemistry. 284(24). 16325–16333. 61 indexed citations
17.
Gündüz, Mehmet, Hitoshi Nagatsuka, Esra Gündüz, et al.. (2008). Expression and mutation analysis of epidermal growth factor receptor in head and neck squamous cell carcinoma. Cancer Science. 99(8). 1589–1594. 86 indexed citations
18.
Nakamura, Keigo, Satoshi Hirohata, Ömer Faruk Hatipoğlu, et al.. (2005). Versican is induced in infiltrating monocytes in myocardial infarction. Molecular and Cellular Biochemistry. 280(1-2). 47–56. 55 indexed citations
19.
Altundağ, Özden, et al.. (2004). Calcium and vitamin D supplementation during bisphosphonate administration may increase osteoclastic activity in patients with bone metastasis. Medical Hypotheses. 63(6). 1010–1013. 12 indexed citations
20.
Altundağ, Kadri, et al.. (2004). SRL172 (killed Mycobacterium vaccae) may augment the efficacy of trastuzumab in metastatic breast cancer patients. Medical Hypotheses. 64(2). 248–251. 3 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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