Gazanfer Belge

3.8k total citations
94 papers, 2.5k citations indexed

About

Gazanfer Belge is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gazanfer Belge has authored 94 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Surgery, 23 papers in Molecular Biology and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gazanfer Belge's work include Testicular diseases and treatments (28 papers), Thyroid Cancer Diagnosis and Treatment (22 papers) and Sperm and Testicular Function (11 papers). Gazanfer Belge is often cited by papers focused on Testicular diseases and treatments (28 papers), Thyroid Cancer Diagnosis and Treatment (22 papers) and Sperm and Testicular Function (11 papers). Gazanfer Belge collaborates with scholars based in Germany, United States and Netherlands. Gazanfer Belge's co-authors include Jörn Bullerdiek, Klaus‐Peter Dieckmann, Sabine Bartnitzke, Arlo Radtke, Meike Spiekermann, Thomas Balks, Volkhard Rippe, Norbert Drieschner, Thomas Löning and Brita Thode and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Oncogene.

In The Last Decade

Gazanfer Belge

91 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gazanfer Belge Germany 29 992 940 658 511 509 94 2.5k
Folker E. Franke Germany 29 549 0.6× 1.1k 1.1× 214 0.3× 334 0.7× 556 1.1× 72 2.6k
Hermann Rogatsch Austria 32 624 0.6× 775 0.8× 289 0.4× 1.1k 2.2× 209 0.4× 80 2.6k
Gian Luigi Taddei Italy 26 544 0.5× 595 0.6× 246 0.4× 321 0.6× 359 0.7× 136 2.3k
Michael R. Pins United States 26 729 0.7× 870 0.9× 392 0.6× 801 1.6× 145 0.3× 68 2.3k
Sanjay Logani United States 24 503 0.5× 526 0.6× 198 0.3× 231 0.5× 554 1.1× 37 1.8k
Maija Kiuru United States 26 414 0.4× 1.6k 1.7× 675 1.0× 870 1.7× 96 0.2× 90 3.1k
Evgeny Yakirevich United States 28 493 0.5× 833 0.9× 540 0.8× 614 1.2× 201 0.4× 89 2.3k
Jean‐Michel Foidart Belgium 26 226 0.2× 595 0.6× 336 0.5× 203 0.4× 241 0.5× 41 2.4k
Sarit Aviel‐Ronen Israel 27 479 0.5× 1.1k 1.1× 435 0.7× 785 1.5× 434 0.9× 65 2.9k
Paul Weinberger United States 27 838 0.8× 894 1.0× 367 0.6× 601 1.2× 78 0.2× 80 2.6k

Countries citing papers authored by Gazanfer Belge

Since Specialization
Citations

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

Fields of papers citing papers by Gazanfer Belge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gazanfer Belge

This figure shows the co-authorship network connecting the top 25 collaborators of Gazanfer Belge. A scholar is included among the top collaborators of Gazanfer Belge 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 Gazanfer Belge. Gazanfer Belge 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.
Belge, Gazanfer, Dirk Arnold, Hans Salwender, et al.. (2025). Biomarker microRNA-371a-3p - expression in malignancies other than germ-cell tumours. Journal of Cancer Research and Clinical Oncology. 151(2). 58–58.
2.
Piao, Jin, John T. Lafin, Cinzia G. Scarpini, et al.. (2021). A Multi-institutional Pooled Analysis Demonstrates That Circulating miR-371a-3p Alone is Sufficient for Testicular Malignant Germ Cell Tumor Diagnosis. Clinical Genitourinary Cancer. 19(6). 469–479. 23 indexed citations
3.
4.
Mirastschijski, Ursula, Vincent Coger, Carmela Rianna, et al.. (2020). Lung Surfactant Accelerates Skin Wound Healing: A Translational Study with a Randomized Clinical Phase I Study. Scientific Reports. 10(1). 2581–2581. 15 indexed citations
5.
Almstrup, Kristian, João Lobo, Nina Mørup, et al.. (2020). Application of miRNAs in the diagnosis and monitoring of testicular germ cell tumours. Nature Reviews Urology. 17(4). 201–213. 70 indexed citations
6.
Mirastschijski, Ursula, Blaž Lupše, Kathrin Maedler, et al.. (2019). Matrix Metalloproteinase-3 is Key Effector of TNF-α-Induced Collagen Degradation in Skin. International Journal of Molecular Sciences. 20(20). 5234–5234. 45 indexed citations
7.
Radtke, Arlo, et al.. (2018). The Novel Biomarker of Germ Cell Tumours, Micro-RNA-371a-3p, Has a Very Rapid Decay in Patients with Clinical Stage 1. Urologia Internationalis. 100(4). 470–475. 52 indexed citations
8.
Anheuser, Petra, Arlo Radtke, Christian Wülfing, et al.. (2017). Serum Levels of MicroRNA371a-3p: A Highly Sensitive Tool for Diagnosing and Staging Testicular Germ Cell Tumours: A Clinical Case Series. Urologia Internationalis. 99(1). 98–103. 25 indexed citations
9.
10.
Dieckmann, Klaus‐Peter, Arlo Radtke, Meike Spiekermann, et al.. (2016). Serum Levels of MicroRNA miR-371a-3p: A Sensitive and Specific New Biomarker for Germ Cell Tumours. European Urology. 71(2). 213–220. 147 indexed citations
11.
Belge, Gazanfer, et al.. (2012). Comparison of mechanical properties of normal and malignant thyroid cells. Micron. 43(12). 1267–1272. 134 indexed citations
12.
Belge, Gazanfer, Arlo Radtke, Anke Meyer, et al.. (2011). Upregulation of the high mobility group AT-hook 2 gene in acute aortic dissection is potentially associated with endothelial-mesenchymal transition.. PubMed. 26(8). 1029–37. 11 indexed citations
13.
Markowski, Dominique Nadine, Sabine Bartnitzke, Gazanfer Belge, et al.. (2010). Cell culture and senescence in uterine fibroids. Cancer Genetics and Cytogenetics. 202(1). 53–57. 14 indexed citations
14.
Drieschner, Norbert, et al.. (2010). 6p21 rearrangements in uterine leiomyomas targeting HMGA1. Cancer Genetics and Cytogenetics. 203(2). 247–252. 29 indexed citations
15.
Cin, Paola Dal, Alfredo Fusco, Gazanfer Belge, et al.. (1999). Involvement of theHMGI(Y) gene in a microfollicular adenoma of the thyroid. Genes Chromosomes and Cancer. 24(3). 286–289. 8 indexed citations
16.
Rippe, Volkhard, et al.. (1999). A KRAB zinc finger protein gene is the potential target of 19q13 translocation in benign thyroid tumors. Genes Chromosomes and Cancer. 26(3). 229–236. 3 indexed citations
17.
Belge, Gazanfer, Lúcia Roque, Brita Thode, et al.. (1998). Cytogenetic investigations of 340 thyroid hyperplasias and adenomas revealing correlations between cytogenetic findings and histology. Cancer Genetics and Cytogenetics. 101(1). 42–48. 60 indexed citations
18.
Roque, Lúcia, Ana Clode, Gazanfer Belge, et al.. (1998). Follicular thyroid carcinoma: Chromosome analysis of 19 cases. Genes Chromosomes and Cancer. 21(3). 250–255. 25 indexed citations
19.
Belge, Gazanfer, et al.. (1996). Deletions of the short arm of chromosome 2 characterize a new cytogenetic subgroup of benign thyroid tumors. Genes Chromosomes and Cancer. 16(2). 149–151. 7 indexed citations
20.
Belge, Gazanfer, Bernd Kazmierczak, Kerstin Meyer‐Bolte, Sabine Bartnitzke, & J. Bullerdiek. (1992). Expression of SV40 T-antigen in lipoma cells with a chromosomal translocation T(3;12) is not sufficient for direct immortalization. Cell Biology International Reports. 16(4). 339–347. 12 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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