Jingkui Wang

1.9k total citations
31 papers, 1.2k citations indexed

About

Jingkui Wang is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Aging. According to data from OpenAlex, Jingkui Wang has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Endocrine and Autonomic Systems and 6 papers in Aging. Recurrent topics in Jingkui Wang's work include Epigenetics and DNA Methylation (9 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Circadian rhythm and melatonin (6 papers). Jingkui Wang is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Circadian rhythm and melatonin (6 papers). Jingkui Wang collaborates with scholars based in Austria, United States and China. Jingkui Wang's co-authors include Frédéric Gachon, Félix Naef, Eva Martín, Florian Atger, Daniel Mauvoisin, Manfredo Quadroni, Patrice Waridel, Céline Jouffe, Cédric Gobet and Luisa Cochella and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jingkui Wang

30 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
Jingkui Wang Austria 15 584 533 359 254 207 31 1.2k
Sandrine Dulong France 15 599 1.0× 366 0.7× 373 1.0× 92 0.4× 121 0.6× 25 1.1k
Silke Reischl Germany 12 992 1.7× 316 0.6× 291 0.8× 275 1.1× 543 2.6× 15 1.3k
Romain Noël France 16 484 0.8× 382 0.7× 350 1.0× 86 0.3× 94 0.5× 29 1.2k
Bernard Lakowski Canada 14 549 0.9× 996 1.9× 606 1.7× 1.5k 6.0× 75 0.4× 16 2.0k
Ruth A. Akhtar United Kingdom 8 584 1.0× 168 0.3× 286 0.8× 156 0.6× 191 0.9× 9 781
Xuemei Han China 19 103 0.2× 890 1.7× 122 0.3× 42 0.2× 88 0.4× 54 1.6k
Patricia L. Lakin‐Thomas United Kingdom 20 747 1.3× 501 0.9× 220 0.6× 73 0.3× 717 3.5× 39 1.3k
Leslie K. Davidson United States 14 505 0.9× 221 0.4× 280 0.8× 28 0.1× 32 0.2× 22 939
Elia Di Schiavi Italy 16 112 0.2× 396 0.7× 72 0.2× 234 0.9× 47 0.2× 37 791
Koji L. Ode Japan 15 259 0.4× 335 0.6× 90 0.3× 35 0.1× 101 0.5× 32 769

Countries citing papers authored by Jingkui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jingkui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingkui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingkui Wang. A scholar is included among the top collaborators of Jingkui 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 Jingkui Wang. Jingkui 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.
Wang, Jingkui, et al.. (2025). An ancient and essential miRNA family controls cellular interaction pathways in C. elegans. Science Advances. 11(36). eadz1934–eadz1934. 1 indexed citations
2.
Stuart, Hannah T., Keisuke Ishihara, Manuela Melchionda, et al.. (2024). Mouse neural tube organoids self-organize floorplate through BMP-mediated cluster competition. Developmental Cell. 59(15). 1940–1953.e10. 9 indexed citations
3.
Sun, Qiong, Niko Popitsch, Tanja A. Schwickert, et al.. (2024). Mime-seq 2.0: a method to sequence microRNAs from specific mouse cell types. The EMBO Journal. 43(12). 2506–2525. 1 indexed citations
4.
Vunjak, Milica, Matthias Hinterndorfer, Melanie de Almeida, et al.. (2023). SPOP targets the immune transcription factor IRF1 for proteasomal degradation. eLife. 12. 4 indexed citations
5.
Michlits, Georg, et al.. (2023). Loss of cohesin regulator PDS5A reveals repressive role of Polycomb loops. Nature Communications. 14(1). 8160–8160. 5 indexed citations
6.
Yelagandula, Ramesh, Maria Novatchkova, Georg Michlits, et al.. (2023). ZFP462 safeguards neural lineage specification by targeting G9A/GLP-mediated heterochromatin to silence enhancers. Nature Cell Biology. 25(1). 42–55. 10 indexed citations
7.
Wang, Jingkui, et al.. (2022). Numerical Simulation of the Different Ship Wave Patterns. 247–254. 1 indexed citations
8.
Lendl, Thomas, Jingkui Wang, Anna Schrempf, et al.. (2021). miR-1 sustains muscle physiology by controlling V-ATPase complex assembly. Science Advances. 7(42). eabh1434–eabh1434. 20 indexed citations
9.
Lou, Wenzhong, et al.. (2021). Multi-barycenter Nodes Localization Method in Wireless Sensor Network Based on Improved RSSI. Journal of Beijing Institute of Technology. 30. 210–217. 2 indexed citations
10.
Pribitzer, Carina, Jingkui Wang, Qing Zhao, et al.. (2020). Parallel PRC2/cPRC1 and vPRC1 pathways silence lineage-specific genes and maintain self-renewal in mouse embryonic stem cells. Science Advances. 6(14). eaax5692–eaax5692. 39 indexed citations
11.
Wang, Jingkui, et al.. (2020). Combinatorial Action of Temporally Segregated Transcription Factors. Developmental Cell. 55(4). 483–499.e7. 31 indexed citations
12.
Lamb, Kelsey N., Huitao Fan, Jacob I. Stuckey, et al.. (2019). Discovery and Characterization of a Cellular Potent Positive Allosteric Modulator of the Polycomb Repressive Complex 1 Chromodomain, CBX7. Cell chemical biology. 26(10). 1365–1379.e22. 42 indexed citations
13.
Yelagandula, Ramesh, Carina Pribitzer, Jingkui Wang, et al.. (2019). Canonical PRC1 controls sequence-independent propagation of Polycomb-mediated gene silencing. Nature Communications. 10(1). 1931–1931. 56 indexed citations
14.
Lamb, Kelsey N., Huitao Fan, Jacob I. Stuckey, et al.. (2019). Discovery and Characterization of a Cellularly Potent Positive Allosteric Modulator of the Polycomb Repressive Complex 1 Chromodomain, CBX7. SSRN Electronic Journal. 1 indexed citations
15.
Alberti, Chiara, et al.. (2018). Cell-type specific sequencing of microRNAs from complex animal tissues. Nature Methods. 15(4). 283–289. 64 indexed citations
16.
Sinturel, Flore, Alan Gerber, Daniel Mauvoisin, et al.. (2017). Diurnal Oscillations in Liver Mass and Cell Size Accompany Ribosome Assembly Cycles. Cell. 169(4). 651–663.e14. 144 indexed citations
17.
Wang, Jingkui, Daniel Mauvoisin, Eva Martín, et al.. (2016). Nuclear Proteomics Uncovers Diurnal Regulatory Landscapes in Mouse Liver. Cell Metabolism. 25(1). 102–117. 146 indexed citations
18.
Wang, Jingkui, Benjamin Pfeuty, Quentin Thommen, M. Carmen Romano, & Marc Lefranc. (2014). Minimal model of transcriptional elongation processes with pauses. Physical Review E. 90(5). 50701–50701. 19 indexed citations
19.
Wang, Jingkui, Marc Lefranc, & Quentin Thommen. (2014). Stochastic Oscillations Induced by Intrinsic Fluctuations in a Self-Repressing Gene. Biophysical Journal. 107(10). 2403–2416. 12 indexed citations
20.
Ma, Xiaochi, Fengyun Li, Jingkui Wang, et al.. (2010). Preparative separation and purification of bufadienolides from Chinese traditional medicine of ChanSu using high‐speed counter‐current chromatography. Journal of Separation Science. 33(9). 1325–1330. 25 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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