Mei Dang

666 total citations
32 papers, 454 citations indexed

About

Mei Dang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Mei Dang has authored 32 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Neurology. Recurrent topics in Mei Dang's work include RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (6 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). Mei Dang is often cited by papers focused on RNA Research and Splicing (11 papers), RNA and protein synthesis mechanisms (6 papers) and Amyotrophic Lateral Sclerosis Research (5 papers). Mei Dang collaborates with scholars based in Singapore, China and Canada. Mei Dang's co-authors include Jianxing Song, Liangzhong Lim, Bárbara Davis, Prue Talbot, Jeffrey J. Kim, Jian Kang, Yifan Li, Amrita Roy, Xiaoying Zhang and Murtala Bindawa Isah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Journal of Hazardous Materials.

In The Last Decade

Mei Dang

28 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei Dang Singapore 13 276 93 55 48 34 32 454
Micol Falabella Italy 12 445 1.6× 85 0.9× 18 0.3× 13 0.3× 12 0.4× 18 668
Agnes Lau Canada 13 588 2.1× 73 0.8× 74 1.3× 29 0.6× 3 0.1× 24 900
Ahmad Galaleldeen United States 11 175 0.6× 95 1.0× 231 4.2× 12 0.3× 18 0.5× 14 593
Matteo Manca United States 13 451 1.6× 93 1.0× 52 0.9× 17 0.4× 5 0.1× 17 622
Susan D. Cline United States 11 429 1.6× 21 0.2× 10 0.2× 26 0.5× 12 0.4× 16 555
Somdutta Sen India 12 164 0.6× 19 0.2× 13 0.2× 26 0.5× 7 0.2× 20 347
Preethi Chander United States 13 195 0.7× 23 0.2× 15 0.3× 14 0.3× 5 0.1× 17 349
Justin Kurian United States 16 358 1.3× 62 0.7× 10 0.2× 16 0.3× 3 0.1× 31 632
Lori I. Robins United States 12 261 0.9× 22 0.2× 6 0.1× 12 0.3× 9 0.3× 32 527
Marisa C. Suarez Brazil 11 364 1.3× 118 1.3× 17 0.3× 11 0.2× 7 0.2× 14 578

Countries citing papers authored by Mei Dang

Since Specialization
Citations

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

Fields of papers citing papers by Mei Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Dang. A scholar is included among the top collaborators of Mei 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 Mei Dang. Mei 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.
Isah, Murtala Bindawa, et al.. (2025). A novel and quick egg yolk immunoglobulin y antibody extraction method leveraging the protein liquid-liquid phase separation principle. Poultry Science. 104(2). 104804–104804. 2 indexed citations
2.
Isah, Murtala Bindawa, et al.. (2025). Small Molecules as Regulators of Liquid–Liquid Phase Separation: Mechanisms and Strategies for New Drug Discovery. The FASEB Journal. 39(13). e70773–e70773.
3.
Dang, Mei, et al.. (2025). Nanoplastic-induced antibody liquid-liquid phase separation: Insights into potential immunotoxic implications. Journal of Hazardous Materials. 487. 137170–137170. 2 indexed citations
5.
Dang, Mei, et al.. (2025). Structural insights and milestones in TDP-43 research: A comprehensive review of its pathological and therapeutic advances. International Journal of Biological Macromolecules. 306(Pt 3). 141677–141677. 3 indexed citations
6.
Isah, Murtala Bindawa, et al.. (2024). Development and evaluation of an immunoassay for the quantification of N-acetylneuraminic acid (Neu5Ac) in foods and biosamples. Food Chemistry. 461. 140929–140929. 1 indexed citations
7.
Isah, Murtala Bindawa, et al.. (2024). Liquid-liquid phase separation in microorganisms: Insights into existence, functions, and applications. Microbiological Research. 292. 128026–128026. 3 indexed citations
9.
Dang, Mei, et al.. (2023). ATP and nucleic acids competitively modulate LLPS of the SARS-CoV2 nucleocapsid protein. Communications Biology. 6(1). 80–80. 20 indexed citations
10.
Dang, Mei & Jianxing Song. (2022). A review of the effects of ATP and hydroxychloroquine on the phase separation of the SARS-CoV-2 nucleocapsid protein. Biophysical Reviews. 14(3). 709–715. 6 indexed citations
11.
Dang, Mei, et al.. (2022). Arg/Lys-containing IDRs are cryptic binding domains for ATP and nucleic acids that interplay to modulate LLPS. Communications Biology. 5(1). 1315–1315. 19 indexed citations
12.
Dang, Mei & Jianxing Song. (2021). CTD of SARS‐CoV‐2 N protein is a cryptic domain for binding ATP and nucleic acid that interplay in modulating phase separation. Protein Science. 31(2). 345–356. 22 indexed citations
13.
Dang, Mei & Jianxing Song. (2021). Structural basis of anti-SARS-CoV-2 activity of HCQ: specific binding to N protein to disrupt its interaction with nucleic acids and LLPS. SHILAP Revista de lepidopterología. 2. e13–e13. 4 indexed citations
14.
Dang, Mei, et al.. (2021). ATP biphasically modulates LLPS of SARS-CoV-2 nucleocapsid protein and specifically binds its RNA-binding domain. Biochemical and Biophysical Research Communications. 541. 50–55. 39 indexed citations
15.
Dang, Mei, Liangzhong Lim, Jian Kang, & Jianxing Song. (2021). ATP biphasically modulates LLPS of TDP-43 PLD by specifically binding arginine residues. Communications Biology. 4(1). 714–714. 44 indexed citations
16.
Dang, Mei, Yifan Li, & Jianxing Song. (2021). Tethering-induced destabilization and ATP-binding for tandem RRM domains of ALS-causing TDP-43 and hnRNPA1. Scientific Reports. 11(1). 1034–1034. 20 indexed citations
17.
Dang, Mei & Jianxing Song. (2020). ALS-causing D169G mutation disrupts the ATP-binding capacity of TDP-43 RRM1 domain. Biochemical and Biophysical Research Communications. 524(2). 459–464. 25 indexed citations
18.
Wang, Shuang, Bo Yin, Ling Yu, et al.. (2020). Overexpression of AmpC Promotes Bacteriophage Lysis of Ampicillin-Resistant Escherichia coli. Frontiers in Microbiology. 10. 2973–2973. 10 indexed citations
19.
Dang, Mei, et al.. (2019). ATP is a cryptic binder of TDP-43 RRM domains to enhance stability and inhibit ALS/AD-associated fibrillation. Biochemical and Biophysical Research Communications. 522(1). 247–253. 29 indexed citations
20.
Davis, Bárbara, Mei Dang, Jeffrey J. Kim, & Prue Talbot. (2014). Nicotine Concentrations in Electronic Cigarette Refill and Do-It-Yourself Fluids. Nicotine & Tobacco Research. 17(2). 134–141. 102 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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