Jason Dang

2.4k total citations · 1 hit paper
26 papers, 1.7k citations indexed

About

Jason Dang is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jason Dang has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Infectious Diseases and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jason Dang's work include RNA and protein synthesis mechanisms (5 papers), Pluripotent Stem Cells Research (4 papers) and Mosquito-borne diseases and control (4 papers). Jason Dang is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Pluripotent Stem Cells Research (4 papers) and Mosquito-borne diseases and control (4 papers). Jason Dang collaborates with scholars based in United States, Australia and Italy. Jason Dang's co-authors include Tariq M. Rana, Shashi Kant Tiwari, Yue Qin, Gianluigi Lichinchi, Veena S. Patil, Alexey M. Eroshkin, Kung‐Yen Chang, Zhonghan Li, Chao‐Shun Yang and Nianwei Lin and has published in prestigious journals such as The EMBO Journal, Molecular Cell and Neurology.

In The Last Decade

Jason Dang

26 papers receiving 1.7k citations

Hit Papers

Zika Virus Depletes Neural Progenitors in Human Cerebral ... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Dang United States 15 925 407 400 300 220 26 1.7k
Gianluigi Lichinchi United States 8 1.0k 1.1× 272 0.7× 429 1.1× 337 1.1× 215 1.0× 8 1.6k
Priti Kumar United States 26 2.5k 2.7× 721 1.8× 274 0.7× 369 1.2× 242 1.1× 73 3.6k
Veena S. Patil United States 11 1.1k 1.2× 595 1.5× 324 0.8× 263 0.9× 265 1.2× 19 1.8k
Mohammad A. Rafi United States 30 1.2k 1.3× 54 0.1× 176 0.4× 130 0.4× 557 2.5× 66 2.6k
Rachel Kim United States 24 1.8k 1.9× 218 0.5× 198 0.5× 65 0.2× 105 0.5× 50 2.5k
Loraine Campanati Brazil 17 361 0.4× 81 0.2× 313 0.8× 351 1.2× 164 0.7× 35 1.2k
Feiran Zhang China 10 479 0.5× 148 0.4× 723 1.8× 516 1.7× 315 1.4× 21 1.4k
Yoichi Miyamoto Japan 25 1.6k 1.7× 106 0.3× 94 0.2× 196 0.7× 120 0.5× 62 2.3k
Paulo J.C. Lin United States 28 2.4k 2.6× 226 0.6× 75 0.2× 579 1.9× 166 0.8× 46 3.4k

Countries citing papers authored by Jason Dang

Since Specialization
Citations

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

Fields of papers citing papers by Jason Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Dang. A scholar is included among the top collaborators of Jason Dang 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 Jason Dang. Jason Dang 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.
Tang, Min, Shashi Kant Tiwari, Kriti Agrawal, et al.. (2021). Rapid 3D Bioprinting of Glioblastoma Model Mimicking Native Biophysical Heterogeneity. Small. 17(15). e2006050–e2006050. 96 indexed citations
2.
Tiwari, Shashi Kant, Jason Dang, Nianwei Lin, et al.. (2020). Zika virus depletes neural stem cells and evades selective autophagy by suppressing the Fanconi anemia protein FANCC. EMBO Reports. 21(12). e49183–e49183. 20 indexed citations
3.
Dang, Jason, Shashi Kant Tiwari, Kriti Agrawal, et al.. (2020). Glial cell diversity and methamphetamine-induced neuroinflammation in human cerebral organoids. Molecular Psychiatry. 26(4). 1194–1207. 90 indexed citations
4.
Dang, Jason, Shashi Kant Tiwari, Yue Qin, & Tariq M. Rana. (2019). Genome-wide Integrative Analysis of Zika-Virus-Infected Neuronal Stem Cells Reveals Roles for MicroRNAs in Cell Cycle and Stemness. Cell Reports. 27(12). 3618–3628.e5. 46 indexed citations
5.
Zhang, Qiong, Ti‐Chun Chao, Veena S. Patil, et al.. (2019). The long noncoding RNA ROCKI regulates inflammatory gene expression. The EMBO Journal. 38(8). 73 indexed citations
6.
Tiwari, Shashi Kant, Jason Dang, Yue Qin, et al.. (2017). Zika virus infection reprograms global transcription of host cells to allow sustained infection. Emerging Microbes & Infections. 6(1). 1–10. 57 indexed citations
7.
Zhou, Ying, Jason Dang, Kung‐Yen Chang, et al.. (2016). miR-1298 Inhibits Mutant KRAS-Driven Tumor Growth by Repressing FAK and LAMB3. Cancer Research. 76(19). 5777–5787. 46 indexed citations
8.
Yang, Chao‐Shun, Kung‐Yen Chang, Jason Dang, & Tariq M. Rana. (2016). Polycomb Group Protein Pcgf6 Acts as a Master Regulator to Maintain Embryonic Stem Cell Identity. Scientific Reports. 6(1). 26899–26899. 26 indexed citations
9.
Dang, Jason, Shashi Kant Tiwari, Gianluigi Lichinchi, et al.. (2016). Zika Virus Depletes Neural Progenitors in Human Cerebral Organoids through Activation of the Innate Immune Receptor TLR3. Cell stem cell. 19(2). 258–265. 565 indexed citations breakdown →
10.
Dang, Jason & Tariq M. Rana. (2015). Enhancing Induced Pluripotent Stem Cell Generation by MicroRNA. Methods in molecular biology. 1357. 71–84. 5 indexed citations
11.
Lin, Nianwei, Kung‐Yen Chang, Zhonghan Li, et al.. (2014). An Evolutionarily Conserved Long Noncoding RNA TUNA Controls Pluripotency and Neural Lineage Commitment. Molecular Cell. 53(6). 1005–1019. 319 indexed citations
12.
Li, Zhonghan, Jason Dang, Kung‐Yen Chang, & Tariq M. Rana. (2014). MicroRNA-mediated regulation of extracellular matrix formation modulates somatic cell reprogramming. RNA. 20(12). 1900–1915. 22 indexed citations
13.
Sakurai, Kumi, Indrani Talukdar, Veena S. Patil, et al.. (2014). Kinome-wide Functional Analysis Highlights the Role of Cytoskeletal Remodeling in Somatic Cell Reprogramming. Cell stem cell. 14(4). 523–534. 53 indexed citations
14.
Lin, Nianwei, Kung‐Yen Chang, Zhonghan Li, et al.. (2014). An Evolutionarily Conserved Long Noncoding RNA TUNA Controls Pluripotency and Neural Lineage Commitment. Molecular Cell. 53(6). 1067–1067. 14 indexed citations
15.
16.
Ng, Chai‐Ann, Wen‐Xian Zhao, Jason Dang, et al.. (2007). The conformation of acetylated virginiamycin M1 and virginiamycin M1 in explicit solvents. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1774(5). 610–618. 4 indexed citations
17.
Aurelio, Luigi, Robert T. C. Brownlee, Jason Dang, Andrew B. Hughes, & Gideon M. Polya. (2006). Determination of the Complete Absolute Configuration of Petriellin A. Australian Journal of Chemistry. 59(6). 407–414. 6 indexed citations
18.
Dang, Jason, Luigi Aurelio, Andrew B. Hughes, & Robert T. C. Brownlee. (2006). Solution structures by NMR of a novel antifungal drug: Petriellin A. Organic & Biomolecular Chemistry. 4(20). 3802–3802. 2 indexed citations
19.
Dang, Jason, Robert P. Metzger, Robert T. C. Brownlee, et al.. (2005). The conformational flexibility of the antibiotic virginiamycin M1. European Biophysics Journal. 34(5). 383–388. 6 indexed citations
20.
Dang, Jason, Mikael Bergdahl, Frances Separovic, Robert T. C. Brownlee, & Robert P. Metzger. (2004). Solvent affects the conformation of virginiamycin M1(pristinamycin IIA, streptogramin A). Organic & Biomolecular Chemistry. 2(20). 2919–2919. 12 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

Rankless by CCL
2026