Erdal Coşgun

564 total citations
34 papers, 378 citations indexed

About

Erdal Coşgun is a scholar working on Molecular Biology, Surgery and Artificial Intelligence. According to data from OpenAlex, Erdal Coşgun has authored 34 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Surgery and 5 papers in Artificial Intelligence. Recurrent topics in Erdal Coşgun's work include Gene expression and cancer classification (5 papers), Bariatric Surgery and Outcomes (4 papers) and Diet and metabolism studies (3 papers). Erdal Coşgun is often cited by papers focused on Gene expression and cancer classification (5 papers), Bariatric Surgery and Outcomes (4 papers) and Diet and metabolism studies (3 papers). Erdal Coşgun collaborates with scholars based in Türkiye, United States and Taiwan. Erdal Coşgun's co-authors include Christine W. Duarte, Nita A. Limdi, Fatih Mehmet Avşar, Semra Çalt, Nuhan Puralı, Su Özgür, Timur Köse, Pembe Keskinoğlu, Enver Okan Hamamcı and Şükran Bolay and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of neurosurgery.

In The Last Decade

Erdal Coşgun

31 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erdal Coşgun Türkiye 12 74 49 41 39 38 34 378
Björn Holzhauer Switzerland 12 104 1.4× 59 1.2× 7 0.2× 287 7.4× 47 1.2× 33 767
Sílvio Augusto Fernandes de Menezes Brazil 9 73 1.0× 75 1.5× 3 0.1× 14 0.4× 48 1.3× 48 438
Shan Lei China 10 176 2.4× 53 1.1× 11 0.3× 24 0.6× 60 1.6× 20 729
G. Krishnan India 7 51 0.7× 68 1.4× 4 0.1× 2 0.1× 29 0.8× 17 307
Atefeh Abedini Iran 15 114 1.5× 131 2.7× 2 0.0× 137 3.5× 59 1.6× 90 799
Federica Bellerba Italy 16 53 0.7× 150 3.1× 2 0.0× 71 1.8× 65 1.7× 44 832
Jianfeng Zhang China 11 161 2.2× 25 0.5× 41 1.0× 17 0.4× 13 0.3× 38 384
Sumsum P. Sunny India 13 88 1.2× 79 1.6× 2 0.0× 26 0.7× 42 1.1× 29 726
Javier Fernández Spain 10 70 0.9× 129 2.6× 12 0.3× 6 0.2× 12 0.3× 26 729
Ahmed Salem Egypt 13 62 0.8× 86 1.8× 25 0.6× 88 2.3× 41 489

Countries citing papers authored by Erdal Coşgun

Since Specialization
Citations

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

Fields of papers citing papers by Erdal Coşgun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erdal Coşgun

This figure shows the co-authorship network connecting the top 25 collaborators of Erdal Coşgun. A scholar is included among the top collaborators of Erdal Coşgun 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 Erdal Coşgun. Erdal Coşgun 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.
Lu, Shuangjia & Erdal Coşgun. (2024). Boosting GPT models for genomics analysis: generating trusted genetic variant annotations and interpretations through RAG and Fine-tuning. Bioinformatics Advances. 5(1). vbaf019–vbaf019. 5 indexed citations
2.
Clark, Lindsay V., Erdal Coşgun, Kimberly A. Aldinger, et al.. (2024). Known pathogenic gene variants and new candidates detected in sudden unexpected infant death using whole genome sequencing. American Journal of Medical Genetics Part A. 194(11). e63596–e63596. 2 indexed citations
3.
Bakırarar, Batuhan, Erdal Coşgun, & Atilla Halil Elhan. (2023). Hybrid model approach in data mining. Communications in Statistics - Simulation and Computation. 53(10). 4998–5007.
4.
Coşgun, Erdal, et al.. (2023). A cloud-based pipeline for analysis of FHIR and long-read data. Bioinformatics Advances. 3(1). vbac095–vbac095. 4 indexed citations
5.
6.
Zararsız, Gökmen, et al.. (2022). voomSOM: voom-based Self-Organizing Maps for Clustering RNASequencingData. Current Bioinformatics. 18(2). 154–169. 1 indexed citations
7.
Köse, Timur, et al.. (2020). Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study. BioMed Research International. 2020(1). 1895076–1895076. 25 indexed citations
8.
Coşgun, Erdal & Min Oh. (2020). Exploring the Consistency of the Quality Scores with Machine Learning for Next‐Generation Sequencing Experiments. BioMed Research International. 2020(1). 8531502–8531502. 8 indexed citations
9.
Coşgun, Erdal, et al.. (2018). PKNOX2 expression and regulation in the bone marrow mesenchymal stem cells of Fanconi anemia patients and healthy donors. Molecular Biology Reports. 46(1). 669–678. 3 indexed citations
10.
Aktekin, Mustafa, et al.. (2016). Evaluation of the origin and branching patterns of the iliolumbar artery and its implications on pelvic and vertebral surgery. Saudi Medical Journal. 37(4). 457–460. 5 indexed citations
11.
Birben, Esra, Ümit Murat Şahiner, Çağatay Karaaslan, et al.. (2014). The Genetic Variants of Thymic Stromal Lymphopoietin Protein in Children with Asthma and Allergic Rhinitis. International Archives of Allergy and Immunology. 163(3). 185–192. 26 indexed citations
12.
Zararsız, Gökmen & Erdal Coşgun. (2013). Introduction to Statistical Methods for MicroRNA Analysis. Methods in molecular biology. 1107. 129–155. 5 indexed citations
13.
Chiang, Yu‐Chih, et al.. (2013). Effect of resin shades on opacity of ceramic veneers and polymerization efficiency through ceramics. Journal of Dentistry. 41. e8–e14. 23 indexed citations
14.
Şahin, Cem, Alper Ergin, Simel Ayyıldız, Erdal Coşgun, & Gülay Uzun. (2013). Effect of biofilm formation, and biocorrosion on denture base fractures. The Journal of Advanced Prosthodontics. 5(2). 140–140. 9 indexed citations
15.
Avşar, Fatih Mehmet, et al.. (2011). Is Gastro-Gastric Fixation Suture Necessary in Laparoscopic Adjustable Gastric Banding? A Prospective Randomized Study. Journal of Laparoendoscopic & Advanced Surgical Techniques. 21(10). 953–956. 4 indexed citations
16.
Avşar, Fatih Mehmet, et al.. (2011). Management of concurrent cholelithiasis in gastric banding for morbid obesity. European Journal of Gastroenterology & Hepatology. 23(9). 766–769. 8 indexed citations
17.
Coşgun, Erdal, Nita A. Limdi, & Christine W. Duarte. (2011). High-dimensional pharmacogenetic prediction of a continuous trait using machine learning techniques with application to warfarin dose prediction in African Americans. Bioinformatics. 27(10). 1384–1389. 62 indexed citations
18.
Hamamcı, Enver Okan, et al.. (2010). Changes in comorbid diseases in morbidly obese patients treated by laparoscopic adjustable gastric banding.. Pakistan Journal of Medical Sciences. 26(1). 6–10. 3 indexed citations
19.
Avşar, Fatih Mehmet, et al.. (2010). Comparison of Karydakis technique with Limberg Flap Procedure in Pilonidal Sinus Disease: Advantages of Karydakis technique. Pakistan Journal of Medical Sciences. 26(4). 773–777. 7 indexed citations
20.

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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