Hilal Kazan

4.3k total citations
33 papers, 1.8k citations indexed

About

Hilal Kazan is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Hilal Kazan has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Computational Theory and Mathematics. Recurrent topics in Hilal Kazan's work include RNA Research and Splicing (12 papers), RNA modifications and cancer (11 papers) and RNA and protein synthesis mechanisms (7 papers). Hilal Kazan is often cited by papers focused on RNA Research and Splicing (12 papers), RNA modifications and cancer (11 papers) and RNA and protein synthesis mechanisms (7 papers). Hilal Kazan collaborates with scholars based in Türkiye, Canada and United States. Hilal Kazan's co-authors include Quaid Morris, Timothy Hughes, Khalid Zuberi, Kate B. Cook, Timothy R. Hughes, Debashish Ray, Esther T. Chan, Sidharth Chaudhry, Shaheynoor Talukder and Lourdes Peña‐Castillo and has published in prestigious journals such as Nucleic Acids Research, Neuron and Nature Biotechnology.

In The Last Decade

Hilal Kazan

30 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hilal Kazan Türkiye 14 1.6k 426 88 76 62 33 1.8k
Peter J. Shepard United States 12 1.2k 0.8× 172 0.4× 56 0.6× 57 0.8× 56 0.9× 19 1.4k
N. N. Kolesnikov Russia 13 1.1k 0.7× 401 0.9× 72 0.8× 72 0.9× 253 4.1× 26 1.4k
Tae-Wook Kang South Korea 17 978 0.6× 318 0.7× 133 1.5× 41 0.5× 168 2.7× 37 1.3k
Kuan‐Ting Lin Taiwan 19 732 0.5× 194 0.5× 52 0.6× 49 0.6× 45 0.7× 46 963
Eiru Kim South Korea 15 980 0.6× 246 0.6× 44 0.5× 53 0.7× 245 4.0× 23 1.2k
Xiaoman Li United States 22 1.1k 0.7× 410 1.0× 126 1.4× 13 0.2× 86 1.4× 58 1.3k
Lilya V. Matyunina United States 23 1.0k 0.6× 522 1.2× 91 1.0× 50 0.7× 58 0.9× 33 1.4k
Quan Chen China 14 754 0.5× 264 0.6× 89 1.0× 38 0.5× 22 0.4× 37 946
C.D.O. Cooper United Kingdom 17 1.2k 0.8× 352 0.8× 104 1.2× 22 0.3× 184 3.0× 33 1.5k
Ruslan Sharipov Russia 11 909 0.6× 196 0.5× 110 1.3× 17 0.2× 171 2.8× 36 1.2k

Countries citing papers authored by Hilal Kazan

Since Specialization
Citations

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

Fields of papers citing papers by Hilal Kazan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hilal Kazan

This figure shows the co-authorship network connecting the top 25 collaborators of Hilal Kazan. A scholar is included among the top collaborators of Hilal Kazan 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 Hilal Kazan. Hilal Kazan 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.
Kazan, Hilal, et al.. (2025). Transcriptional states of lung cancer microenvironment reveal macrophage subtype dynamics linked to disease progression. The Journal of Immunology. 214(12). 3273–3282.
2.
Taştan, Öznur, et al.. (2025). SCITUNA: single-cell data integration tool using network alignment. BMC Bioinformatics. 26(1). 92–92.
3.
Rasheed, Adil, Sabrina Robichaud, My-Anh Nguyen, et al.. (2024). Hyperlipidemia-induced hematopoiesis is repressed by MLKL in endothelial cells of the splenic niche. Nature Cardiovascular Research. 3(5). 594–611. 2 indexed citations
4.
Erten, Cesim, et al.. (2023). Predator: Predicting the Impact of Cancer Somatic Mutations on Protein-Protein Interactions. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(5). 3163–3172. 3 indexed citations
5.
Erten, Cesim, et al.. (2022). PersonaDrive: a method for the identification and prioritization of personalized cancer drivers. Bioinformatics. 38(13). 3407–3414. 13 indexed citations
6.
Nguyen, My-Anh, Huy‐Dung Hoang, Adil Rasheed, et al.. (2022). miR-223 Exerts Translational Control of Proatherogenic Genes in Macrophages. Circulation Research. 131(1). 42–58. 42 indexed citations
7.
Erten, Cesim, et al.. (2021). Ranking cancer drivers via betweenness-based outlier detection and random walks. BMC Bioinformatics. 22(1). 62–62. 9 indexed citations
8.
Erten, Cesim, et al.. (2020). DriveWays: a method for identifying possibly overlapping driver pathways in cancer. Scientific Reports. 10(1). 21971–21971. 5 indexed citations
9.
Hafezqorani, Saber, et al.. (2019). RBPSponge: genome-wide identification of lncRNAs that sponge RBPs. Bioinformatics. 35(22). 4760–4763. 12 indexed citations
10.
Erten, Cesim, et al.. (2019). MEXCOwalk: mutual exclusion and coverage based random walk to identify cancer modules. Bioinformatics. 36(3). 872–879. 25 indexed citations
11.
Aderinwale, Tunde, et al.. (2018). Predicting clinical outcomes in neuroblastoma with genomic data integration. Biology Direct. 13(1). 20–20. 10 indexed citations
12.
Berkowitz, Nathan, et al.. (2016). A comprehensive database of high-throughput sequencing-based RNA secondary structure probing data (Structure Surfer). BMC Bioinformatics. 17(1). 215–215. 12 indexed citations
13.
Kazan, Hilal. (2016). Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests. BioMed Research International. 2016. 1–6. 8 indexed citations
14.
Lafzi, Atefeh & Hilal Kazan. (2016). Inferring RBP-Mediated Regulation in Lung Squamous Cell Carcinoma. PLoS ONE. 11(5). e0155354–e0155354. 3 indexed citations
15.
Kazan, Hilal & Quaid Morris. (2013). RBPmotif: a web server for the discovery of sequence and structure preferences of RNA-binding proteins. Nucleic Acids Research. 41(W1). W180–W186. 21 indexed citations
16.
Wilbert, Melissa L., Stephanie C. Huelga, Katannya Kapeli, et al.. (2012). LIN28 Binds Messenger RNAs at GGAGA Motifs and Regulates Splicing Factor Abundance. Molecular Cell. 48(2). 195–206. 216 indexed citations
17.
Kazan, Hilal. (2010). Farklı Açıdan Bir Bakışla Şehnameci Seyyid Lokman'ın Saray İçin Hazırladığı Eserler. DergiPark (Istanbul University). 1 indexed citations
18.
Kazan, Hilal, Debashish Ray, Esther T. Chan, Timothy R. Hughes, & Quaid Morris. (2010). RNAcontext: A New Method for Learning the Sequence and Structure Binding Preferences of RNA-Binding Proteins. PLoS Computational Biology. 6(7). e1000832–e1000832. 199 indexed citations
19.
Ray, Debashish, Hilal Kazan, Esther T. Chan, et al.. (2009). Rapid and systematic analysis of the RNA recognition specificities of RNA-binding proteins. Nature Biotechnology. 27(7). 667–670. 364 indexed citations
20.
Kazan, Hilal. (2004). Topkapı Sarayı'nda Katipler Cemiyetinin (Cema'at-i Katiban-ı Kütüb) Eğitimleri ve Görevleri. DergiPark (Istanbul University). 1 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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