Esra Göv

1.1k total citations
38 papers, 790 citations indexed

About

Esra Göv is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Esra Göv has authored 38 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Esra Göv's work include Bioinformatics and Genomic Networks (14 papers), RNA modifications and cancer (10 papers) and Ferroptosis and cancer prognosis (8 papers). Esra Göv is often cited by papers focused on Bioinformatics and Genomic Networks (14 papers), RNA modifications and cancer (10 papers) and Ferroptosis and cancer prognosis (8 papers). Esra Göv collaborates with scholars based in Türkiye, Australia and Bangladesh. Esra Göv's co-authors include Kazım Yalçın Arğa, Medi Kori, Md Rezanur Rahman, Mohammad Ali Moni, Tania Islam, Md. Shahjaman, Beste Turanlı, Md. Nurul Haque Mollah, Gizem Gülfidan and Elif Kılıç and has published in prestigious journals such as Scientific Reports, Genomics and Journal of Cellular and Molecular Medicine.

In The Last Decade

Esra Göv

37 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Esra Göv Türkiye 14 536 175 138 108 83 38 790
Beste Turanlı Türkiye 16 500 0.9× 141 0.8× 138 1.0× 133 1.2× 107 1.3× 33 737
Sharon L. Freshour United States 2 339 0.6× 103 0.6× 120 0.9× 82 0.8× 60 0.7× 3 585
Jonathan J Song United States 2 336 0.6× 103 0.6× 121 0.9× 82 0.8× 58 0.7× 6 583
Heonjong Han South Korea 8 929 1.7× 279 1.6× 184 1.3× 53 0.5× 171 2.1× 11 1.4k
Laurent Winckers Netherlands 3 348 0.6× 91 0.5× 56 0.4× 55 0.5× 52 0.6× 4 534
Lauren J. Dupuis Netherlands 5 363 0.7× 91 0.5× 56 0.4× 48 0.4× 52 0.6× 6 555
Zhengdeng Lei United States 12 634 1.2× 117 0.7× 47 0.3× 24 0.2× 95 1.1× 22 849
Jianwen Zhang China 16 382 0.7× 227 1.3× 69 0.5× 27 0.3× 140 1.7× 27 641
Gareth Peat United Kingdom 4 395 0.7× 78 0.4× 56 0.4× 80 0.7× 38 0.5× 4 627
Rotem Ben‐Hamo Israel 18 665 1.2× 245 1.4× 60 0.4× 30 0.3× 203 2.4× 26 1.2k

Countries citing papers authored by Esra Göv

Since Specialization
Citations

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

Fields of papers citing papers by Esra Göv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esra Göv

This figure shows the co-authorship network connecting the top 25 collaborators of Esra Göv. A scholar is included among the top collaborators of Esra Göv 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 Esra Göv. Esra Göv 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
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Göv, Esra, et al.. (2025). Multiomics Analysis and Machine Learning-based Identification of Molecular Signatures for Diagnostic Classification in Liver Disease Types Along the Microbiota-gut-liver Axis. Journal of Clinical and Experimental Hepatology. 15(5). 102552–102552. 1 indexed citations
4.
Kori, Medi, et al.. (2024). A 19-Gene Signature of Serous Ovarian Cancer Identified by Machine Learning and Systems Biology: Prospects for Diagnostics and Personalized Medicine. OMICS A Journal of Integrative Biology. 28(2). 90–101. 3 indexed citations
5.
Kori, Medi, Esra Göv, Kazım Yalçın Arğa, & Raghu Sinha. (2024). Biomarkers From Discovery to Clinical Application: In Silico Pre-Clinical Validation Approach in the Face of Lung Cancer. Biomarker Insights. 19. 3429553896–3429553896.
6.
Kori, Medi, et al.. (2023). Network medicine approaches for identification of novel prognostic systems biomarkers and drug candidates for papillary thyroid carcinoma. Journal of Cellular and Molecular Medicine. 27(24). 4171–4180. 5 indexed citations
7.
Göv, Esra, et al.. (2023). Immune cell-specific and common molecular signatures in rheumatoid arthritis through molecular network approaches. Biosystems. 234. 105063–105063. 2 indexed citations
8.
Kori, Medi & Esra Göv. (2022). Bioinformatics Prediction and Machine Learning on Gene Expression Data Identifies Novel Gene Candidates in Gastric Cancer. Genes. 13(12). 2233–2233. 5 indexed citations
9.
Erkin, Özgür Cem, et al.. (2022). Integrative Analysis for Identification of Therapeutic Targets and Prognostic Signatures in Non-Small Cell Lung Cancer. Bioinformatics and Biology Insights. 16. 749654044–749654044. 7 indexed citations
10.
Göv, Esra, et al.. (2021). Targeting the tumor stroma: integrative analysis reveal GATA2 and TORYAIP1 as novel prognostic targets in breast and ovarian cancer. TURKISH JOURNAL OF BIOLOGY. 45(2). 127–137. 7 indexed citations
11.
Rahman, Md Rezanur, et al.. (2021). Forecasting Gastric Cancer Diagnosis, Prognosis, and Drug Repurposing with Novel Gene Expression Signatures. OMICS A Journal of Integrative Biology. 26(1). 64–74. 6 indexed citations
12.
Gülfidan, Gizem, et al.. (2021). Cancer Stem Cell Transcriptome Profiling Reveals Seed Genes of Tumorigenesis: New Avenues for Cancer Precision Medicine. OMICS A Journal of Integrative Biology. 25(6). 372–388. 3 indexed citations
13.
Islam, Tania, Humayun Kabir, R. M. Damian Holsinger, et al.. (2020). Genome-Wide Integrative Analysis Reveals Common Molecular Signatures in Blood and Brain of Alzheimer’s Disease. Biointerface Research in Applied Chemistry. 11(2). 8686–8701. 3 indexed citations
14.
Göv, Esra. (2020). Co-expressed functional module-related genes in ovarian cancer stem cells represent novel prognostic biomarkers in ovarian cancer. Systems Biology in Reproductive Medicine. 66(4). 255–266. 16 indexed citations
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Kori, Medi, Esra Göv, & Kazım Yalçın Arğa. (2019). Novel Genomic Biomarker Candidates for Cervical Cancer As Identified by Differential Co-Expression Network Analysis. OMICS A Journal of Integrative Biology. 23(5). 261–273. 32 indexed citations
17.
Rahman, Md Rezanur, Tania Islam, Md. Shahjaman, et al.. (2019). Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective. Genomics. 112(2). 1290–1299. 104 indexed citations
18.
Rahman, Md Rezanur, Tania Islam, Esra Göv, et al.. (2019). Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis. Medicina. 55(1). 20–20. 51 indexed citations
19.
Rahman, Md Rezanur, Tania Islam, Beste Turanlı, et al.. (2018). Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer’s disease. Computational Biology and Chemistry. 78. 431–439. 90 indexed citations
20.
Göv, Esra & Kazım Yalçın Arğa. (2017). Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer. Scientific Reports. 7(1). 4996–4996. 54 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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