Segun Jung

1.1k total citations
20 papers, 684 citations indexed

About

Segun Jung is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Segun Jung has authored 20 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Segun Jung's work include RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (4 papers) and Genetic Associations and Epidemiology (3 papers). Segun Jung is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), RNA Research and Splicing (4 papers) and Genetic Associations and Epidemiology (3 papers). Segun Jung collaborates with scholars based in United States, France and Switzerland. Segun Jung's co-authors include Tamar Schlick, Malik Yousef, Michael K. Showe, Louise C. Showe, Christian Laing, Andrew V. Kossenkov, Xia Xiao, Rosana Collepardo‐Guevara, Ramana V. Davuluri and Namhee Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Blood.

In The Last Decade

Segun Jung

19 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Segun Jung United States 15 531 144 42 41 40 20 684
Masashi Maekawa Japan 17 863 1.6× 88 0.6× 11 0.3× 31 0.8× 56 1.4× 65 1.2k
Emma Shanks United Kingdom 17 778 1.5× 142 1.0× 32 0.8× 12 0.3× 55 1.4× 23 1.3k
Nicholas P. Gauthier United States 12 510 1.0× 103 0.7× 18 0.4× 19 0.5× 92 2.3× 19 655
Rong Ma United States 12 180 0.3× 59 0.4× 24 0.6× 80 2.0× 25 0.6× 34 499
Pavel Matula Czechia 18 497 0.9× 54 0.4× 13 0.3× 38 0.9× 27 0.7× 41 716
Maria Secrier United Kingdom 12 492 0.9× 98 0.7× 11 0.3× 60 1.5× 47 1.2× 27 842
Igor Rodchenkov Canada 8 959 1.8× 131 0.9× 25 0.6× 35 0.9× 136 3.4× 10 1.1k
Hyun-Hwan Jeong United States 15 556 1.0× 62 0.4× 30 0.7× 13 0.3× 104 2.6× 30 776
Hong Jin China 21 857 1.6× 138 1.0× 28 0.7× 43 1.0× 163 4.1× 40 1.2k
Gisela Fobo Germany 12 1.7k 3.2× 319 2.2× 43 1.0× 25 0.6× 163 4.1× 14 2.0k

Countries citing papers authored by Segun Jung

Since Specialization
Citations

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

Fields of papers citing papers by Segun Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Segun Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Segun Jung. A scholar is included among the top collaborators of Segun Jung 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 Segun Jung. Segun Jung 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.
Shin, Miyoung, et al.. (2022). Abstract 1254: Actionable fusions detected by RNA-seq co-occur with PD-L1 expression and driver mutations in solid tumors patients. Cancer Research. 82(12_Supplement). 1254–1254. 1 indexed citations
2.
Ramesh, Archana, Samuel Koo, Soo Jin Kang, et al.. (2021). A Novel NGS-Based Simultaneous Detection of DNA and RNA Biomarkers Using Total Nucleic Acid (TNA) for Acute Lymphocytic Leukemia (ALL). Blood. 138(Supplement 1). 1875–1875. 1 indexed citations
3.
Skol, Andrew D., Segun Jung, Siquan Chen, et al.. (2020). Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes. eLife. 9. 26 indexed citations
4.
Madduri, Ravi, Kyle Chard, Mike D’Arcy, et al.. (2019). Reproducible big data science: A case study in continuous FAIRness. PLoS ONE. 14(4). e0213013–e0213013. 23 indexed citations
5.
Ebenezer, David L., Panfeng Fu, Mark Maienschein‐Cline, et al.. (2019). Genetic deletion of Sphk2 confers protection against Pseudomonas aeruginosa mediated differential expression of genes related to virulent infection and inflammation in mouse lung. BMC Genomics. 20(1). 984–984. 16 indexed citations
6.
Al-khersan, Hasenin, Kaanan P. Shah, Segun Jung, et al.. (2017). A novel MERTK mutation causing retinitis pigmentosa. Graefe s Archive for Clinical and Experimental Ophthalmology. 255(8). 1613–1619. 17 indexed citations
7.
Shilpi, Arunima, Yingtao Bi, Segun Jung, Samir Kumar Patra, & Ramana V. Davuluri. (2017). Identification of Genetic and Epigenetic Variants Associated with Breast Cancer Prognosis by Integrative Bioinformatics Analysis. Cancer Informatics. 16. CIN.S39783–CIN.S39783. 23 indexed citations
8.
9.
Jung, Segun, Yingtao Bi, & Ramana V. Davuluri. (2015). Evaluation of data discretization methods to derive platform independent isoform expression signatures for multi-class tumor subtyping. BMC Genomics. 16(S11). S3–S3. 18 indexed citations
10.
Jung, Segun, Hongjian Jin, & Ramana V. Davuluri. (2015). Identification of candidate regulatory SNPs by integrative analysis for prostate cancer genome data. 10. 278–285.
11.
Kim, Namhee, et al.. (2014). Graph-based sampling for approximating global helical topologies of RNA. Proceedings of the National Academy of Sciences. 111(11). 4079–4084. 53 indexed citations
12.
13.
Kim, Namhee, et al.. (2013). Graph-based sampling approach for approximating global helical topologies of RNA. PLoS ONE. 8(8). 2 indexed citations
14.
Laing, Christian, et al.. (2013). Predicting Helical Topologies in RNA Junctions as Tree Graphs. PLoS ONE. 8(8). e71947–e71947. 30 indexed citations
15.
Jung, Segun & Tamar Schlick. (2012). Candidate RNA structures for domain 3 of the foot-and-mouth-disease virus internal ribosome entry site. Nucleic Acids Research. 41(3). 1483–1495. 23 indexed citations
16.
Schlick, Tamar, et al.. (2011). Biomolecular modeling and simulation: a field coming of age. Quarterly Reviews of Biophysics. 44(2). 191–228. 108 indexed citations
17.
Laing, Christian, et al.. (2009). Tertiary Motifs Revealed in Analyses of Higher-Order RNA Junctions. Journal of Molecular Biology. 393(1). 67–82. 38 indexed citations
18.
Yousef, Malik, Segun Jung, Louise C. Showe, & Michael K. Showe. (2008). Learning from positive examples when the negative class is undetermined- microRNA gene identification. Algorithms for Molecular Biology. 3(1). 2–2. 54 indexed citations
19.
Yousef, Malik, Segun Jung, Louise C. Showe, & Michael K. Showe. (2007). Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data. BMC Bioinformatics. 8(1). 144–144. 83 indexed citations
20.
Yousef, Malik, Segun Jung, Andrew V. Kossenkov, Louise C. Showe, & Michael K. Showe. (2007). Naïve Bayes for microRNA target predictions—machine learning for microRNA targets. Bioinformatics. 23(22). 2987–2992. 122 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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