Ji-Ping Wang

1.1k total citations
24 papers, 775 citations indexed

About

Ji-Ping Wang is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Ji-Ping Wang has authored 24 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Immunology. Recurrent topics in Ji-Ping Wang's work include Genomics and Chromatin Dynamics (12 papers), RNA and protein synthesis mechanisms (9 papers) and RNA modifications and cancer (3 papers). Ji-Ping Wang is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), RNA and protein synthesis mechanisms (9 papers) and RNA modifications and cancer (3 papers). Ji-Ping Wang collaborates with scholars based in United States, Philippines and China. Ji-Ping Wang's co-authors include Jonathan Widom, Liqun Xi, Kevin Keegan, Ravi Allada, Suraj Pradhan, Qingyang Zhang, Joanna E. Burdette, Bin Xiong, Yvonne Fondufe‐Mittendorf and Eliza C. Small and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of the American Statistical Association.

In The Last Decade

Ji-Ping Wang

23 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji-Ping Wang United States	15	579	166	86	63	46	24	775
Marco Preußner Germany	15	441 0.8×	103 0.6×	62 0.7×	119 1.9×	54 1.2×	32	685
Manuel Stemmer Germany	6	700 1.2×	150 0.9×	142 1.7×	14 0.2×	60 1.3×	11	855
Mary‐Lee Dequéant United States	7	1.0k 1.8×	148 0.9×	179 2.1×	57 0.9×	89 1.9×	12	1.2k
Miguel Maroto United Kingdom	17	1.1k 1.8×	100 0.6×	186 2.2×	41 0.7×	84 1.8×	22	1.2k
Metewo Selase Enuameh United States	8	577 1.0×	85 0.5×	145 1.7×	15 0.2×	57 1.2×	11	698
Decai Mao China	9	638 1.1×	98 0.6×	131 1.5×	32 0.5×	152 3.3×	13	819
R.W. Dirks Netherlands	15	522 0.9×	152 0.9×	176 2.0×	30 0.5×	125 2.7×	23	807
Satomi Takeo United States	15	804 1.4×	248 1.5×	149 1.7×	23 0.4×	143 3.1×	20	1.0k
Dayalan G. Srinivasan United States	7	465 0.8×	104 0.6×	158 1.8×	24 0.4×	86 1.9×	9	762
Marcus B. Noyes United States	13	1.4k 2.3×	185 1.1×	286 3.3×	24 0.4×	80 1.7×	22	1.5k

Countries citing papers authored by Ji-Ping Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ji-Ping Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji-Ping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Ping Wang. A scholar is included among the top collaborators of Ji-Ping 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 Ji-Ping Wang. Ji-Ping Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lu, Yanyan, et al.. (2025). DDX6 interacts with DDX3X to repress translation in microRNA-mediated silencing. Nucleic Acids Research. 53(17).

Jin, Chong, et al.. (2025). DNAcycP2: improved estimation of intrinsic DNA cyclizability through data augmentation. Nucleic Acids Research. 53(5). 1 indexed citations

Chen, Yunlu, et al.. (2024). NLSDeconv: an efficient cell-type deconvolution method for spatial transcriptomics data. Bioinformatics. 41(1). 2 indexed citations

Kanmani, Suganya, Xuemin Song, Paulraj Kanmani, et al.. (2024). Enhancement of Autophagy in Macrophages via the p120-Catenin-Mediated mTOR Signaling Pathway. The Journal of Immunology. 213(11). 1666–1675. 1 indexed citations

Vafabakhsh, Reza, et al.. (2022). DNAcycP: a deep learning tool for DNA cyclizability prediction. Nucleic Acids Research. 50(6). 3142–3154. 21 indexed citations

Wang, Ji-Ping, et al.. (2020). RiboDiPA: a novel tool for differential pattern analysis in Ribo-seq data. Nucleic Acids Research. 48(21). 12016–12029. 5 indexed citations

Xiong, Bin, et al.. (2019). DegNorm: normalization of generalized transcript degradation improves accuracy in RNA-seq analysis. Genome biology. 20(1). 75–75. 21 indexed citations

D’Urso, Agustina, Yoh-hei Takahashi, Bin Xiong, et al.. (2016). Set1/COMPASS and Mediator are repurposed to promote epigenetic transcriptional memory. eLife. 5. 104 indexed citations

Xi, Liqun, Quanwei Zhang, Audrey M. Sigmund, et al.. (2015). Differential Nucleosome Occupancies across Oct4-Sox2 Binding Sites in Murine Embryonic Stem Cells. PLoS ONE. 10(5). e0127214–e0127214. 5 indexed citations

10.

Zhang, Quanwei, Erbay Yigit, Rebecca Kim, et al.. (2014). High-Density Nucleosome Occupancy Map of Human Chromosome 9p21–22 Reveals Chromatin Organization of the Type I Interferon Gene Cluster. Journal of Interferon & Cytokine Research. 34(9). 676–685. 14 indexed citations

11.

Zhang, Qingyang, Joanna E. Burdette, & Ji-Ping Wang. (2014). Integrative network analysis of TCGA data for ovarian cancer. BMC Systems Biology. 8(1). 1338–1338. 59 indexed citations

12.

Small, Eliza C., Liqun Xi, Ji-Ping Wang, Jonathan Widom, & Jonathan D. Licht. (2014). Single-cell nucleosome mapping reveals the molecular basis of gene expression heterogeneity. Proceedings of the National Academy of Sciences. 111(24). E2462–71. 81 indexed citations

13.

Xi, Liqun, Sucharita Bhattacharyya, Jonathan Widom, et al.. (2013). Archaeal nucleosome positioning in vivo and in vitro is directed by primary sequence motifs. BMC Genomics. 14(1). 391–391. 47 indexed citations

14.

Xi, Liqun, et al.. (2013). A Locally Convoluted Cluster Model for Nucleosome Positioning Signals in Chemical Maps. Journal of the American Statistical Association. 109(505). 48–62. 7 indexed citations

15.

Zaichuk, Tetiana, Liqun Xi, Quanwei Zhang, et al.. (2013). Chemical map of Schizosaccharomyces pombe reveals species-specific features in nucleosome positioning. Proceedings of the National Academy of Sciences. 110(50). 20158–20163. 80 indexed citations

16.

Yigit, Erbay, Quanwei Zhang, Liqun Xi, et al.. (2013). High-resolution nucleosome mapping of targeted regions using BAC-based enrichment. Nucleic Acids Research. 41(7). e87–e87. 17 indexed citations

17.

Brogaard, Kristin, Liqun Xi, Ji-Ping Wang, & Jonathan Widom. (2012). A Chemical Approach to Mapping Nucleosomes at Base Pair Resolution in Yeast. Methods in enzymology on CD-ROM/Methods in enzymology. 513. 315–334. 19 indexed citations

18.

Sheppard, John P., Ji-Ping Wang, & Patrick C. M. Wong. (2011). Large-Scale Cortical Functional Organization and Speech Perception across the Lifespan. PLoS ONE. 6(1). e16510–e16510. 19 indexed citations

19.

Wang, Ji-Ping, et al.. (2008). Preferentially Quantized Linker DNA Lengths in Saccharomyces cerevisiae. PLoS Computational Biology. 4(9). e1000175–e1000175. 63 indexed citations

20.

Keegan, Kevin, Suraj Pradhan, Ji-Ping Wang, & Ravi Allada. (2007). Meta-Analysis of Drosophila Circadian Microarray Studies Identifies a Novel Set of Rhythmically Expressed Genes. PLoS Computational Biology. 3(11). e208–e208. 87 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