Junbai Wang

1.9k total citations
58 papers, 1.2k citations indexed

About

Junbai Wang is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Junbai Wang has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 12 papers in Cancer Research and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Junbai Wang's work include Genomics and Chromatin Dynamics (23 papers), Gene expression and cancer classification (12 papers) and Bioinformatics and Genomic Networks (11 papers). Junbai Wang is often cited by papers focused on Genomics and Chromatin Dynamics (23 papers), Gene expression and cancer classification (12 papers) and Bioinformatics and Genomic Networks (11 papers). Junbai Wang collaborates with scholars based in Norway, United States and China. Junbai Wang's co-authors include Ola Myklebost, Jan Delabie, Eivind Hovig, Leonardo A. Meza‐Zepeda, Stine H. Kresse, Victor X. Jin, Tianhai Tian, Erlend B. Smeland, Kirill Batmanov and Frauke Greil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Junbai Wang

54 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junbai Wang Norway 21 845 202 140 125 106 58 1.2k
Andreas Buneß Germany 24 991 1.2× 206 1.0× 116 0.8× 190 1.5× 117 1.1× 48 1.5k
Celia Fontanillo Spain 16 835 1.0× 229 1.1× 81 0.6× 136 1.1× 63 0.6× 27 1.2k
Yongsoo Kim South Korea 24 771 0.9× 164 0.8× 166 1.2× 202 1.6× 190 1.8× 68 1.4k
Hugues Sicotte United States 19 713 0.8× 259 1.3× 246 1.8× 193 1.5× 112 1.1× 39 1.3k
Michael N. Edmonson United States 17 922 1.1× 219 1.1× 413 3.0× 140 1.1× 68 0.6× 26 1.5k
Monika Ray United States 7 1.3k 1.6× 196 1.0× 192 1.4× 183 1.5× 80 0.8× 21 1.8k
Damian Fermin United States 13 889 1.1× 155 0.8× 73 0.5× 142 1.1× 84 0.8× 28 1.3k
Wen‐Ming Cao China 18 522 0.6× 263 1.3× 154 1.1× 235 1.9× 126 1.2× 75 1.0k
Maria Suntsova Russia 19 565 0.7× 220 1.1× 83 0.6× 149 1.2× 175 1.7× 61 931

Countries citing papers authored by Junbai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junbai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junbai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Junbai Wang. A scholar is included among the top collaborators of Junbai Wang 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 Junbai Wang. Junbai Wang 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.
Bordin, Diana L., Veslemøy Rolseth, Lisa Lirussi, et al.. (2025). SMUG1 DNA glycosylase modulates reward behaviour through regulation of olfactory receptor gene expression. Nucleic Acids Research. 53(14). 1 indexed citations
2.
Yang, Mingyi, Mari Kaarbø, Henrik M. Reims, et al.. (2024). Altered Genome-Wide DNA Methylation in the Duodenum of Common Variable Immunodeficiency Patients. Journal of Clinical Immunology. 44(6). 133–133. 1 indexed citations
3.
Zhang, Xiaolu, et al.. (2024). Challenges and prospects of cell-free DNA in precision oncology. SHILAP Revista de lepidopterología. 1(4). 100059–100059. 1 indexed citations
4.
Wang, Junbai, et al.. (2024). Predicting regulatory mutations and their target genes by new computational integrative analysis: A study of follicular lymphoma. Computers in Biology and Medicine. 178. 108787–108787. 1 indexed citations
5.
Yao, Zhihao, Suoqin Jin, Fuling Zhou, et al.. (2024). A novel multiscale framework for delineating cancer evolution from subclonal compositions. Journal of Theoretical Biology. 582. 111743–111743.
6.
Yang, Mingyi, Omer Ali, Magnar Bjørås, & Junbai Wang. (2023). Identifying functional regulatory mutation blocks by integrating genome sequencing and transcriptome data. iScience. 26(8). 107266–107266. 2 indexed citations
7.
Pihlstrøm, Hege, Thor Ueland, Annika E. Michelsen, et al.. (2020). Exploring the potential effect of paricalcitol on markers of inflammation in de novo renal transplant recipients. PLoS ONE. 15(12). e0243759–e0243759. 1 indexed citations
8.
Batmanov, Kirill, Jan Delabie, & Junbai Wang. (2019). BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts. Frontiers in Genetics. 10. 282–282. 6 indexed citations
9.
Wang, Junbai, et al.. (2016). An integrated approach to infer dynamic protein-gene interactions – A case study of the human P53 protein. Methods. 110. 3–13. 9 indexed citations
10.
11.
Lan, Xun, Christopher M. Adams, Mark Landers, et al.. (2011). High Resolution Detection and Analysis of CpG Dinucleotides Methylation Using MBD-Seq Technology. PLoS ONE. 6(7). e22226–e22226. 65 indexed citations
12.
Kim, Geoffrey, Ben Davidson, Junbai Wang, et al.. (2011). Adhesion molecule protein signature in ovarian cancer effusions is prognostic of patient outcome. Cancer. 118(6). 1543–1553. 20 indexed citations
13.
Wang, Junbai & Morigen Morigen. (2009). BayesPI - a new model to study protein-DNA interactions: a case study of condition-specific protein binding parameters for Yeast transcription factors. BMC Bioinformatics. 10(1). 345–345. 16 indexed citations
14.
Wang, Junbai. (2008). Computational Biology of Genome Expression and RegulationA Review of Microarray Bioinformatics. Journal of Environmental Pathology Toxicology and Oncology. 27(3). 157–179. 18 indexed citations
15.
Wang, Junbai. (2007). A new framework for identifying combinatorial regulation of transcription factors: A case study of the yeast cell cycle. Journal of Biomedical Informatics. 40(6). 707–725. 26 indexed citations
16.
Meza‐Zepeda, Leonardo A., Stine H. Kresse, Bodil Bjerkehagen, et al.. (2006). Array Comparative Genomic Hybridization Reveals Distinct DNA Copy Number Differences between Gastrointestinal Stromal Tumors and Leiomyosarcomas. Cancer Research. 66(18). 8984–8993. 79 indexed citations
17.
Moorman, Celine, Junbai Wang, Elzo de Wit, et al.. (2006). Hotspots of transcription factor colocalization in the genome of Drosophila melanogaster. Proceedings of the National Academy of Sciences. 103(32). 12027–12032. 152 indexed citations
18.
Wang, Junbai, et al.. (2005). New probabilistic graphical models for genetic regulatory networks studies. Journal of Biomedical Informatics. 38(6). 443–455. 23 indexed citations
19.
Wang, Junbai, Leonardo A. Meza‐Zepeda, Stine H. Kresse, & Ola Myklebost. (2004). M-CGH: Analysing microarray-based CGH experiments. BMC Bioinformatics. 5(1). 74–74. 41 indexed citations
20.
Wang, Junbai, Ola Myklebost, & Eivind Hovig. (2003). MGraph: graphical models for microarray data analysis. Bioinformatics. 19(17). 2210–2211. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Andreas Buneß Breakdown of academic impact, for papers by Celia Fontanillo Breakdown of academic impact, for papers by Yongsoo Kim Breakdown of academic impact, for papers by Hugues Sicotte Breakdown of academic impact, for papers by Michael N. Edmonson Breakdown of academic impact, for papers by Monika Ray Breakdown of academic impact, for papers by Damian Fermin Breakdown of academic impact, for papers by Wen‐Ming Cao Breakdown of academic impact, for papers by Maria Suntsova
Rankless by CCL
2026