D. Tan

1.4k total citations
30 papers, 1.2k citations indexed

About

D. Tan is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, D. Tan has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Biomedical Engineering and 4 papers in Epidemiology. Recurrent topics in D. Tan's work include Hydrogels: synthesis, properties, applications (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). D. Tan is often cited by papers focused on Hydrogels: synthesis, properties, applications (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). D. Tan collaborates with scholars based in Singapore, China and Austria. D. Tan's co-authors include Yanyan Yang, Kumaresh S. Soppimath, Yi‐Yan Yang, Wei Ling Chua, Dennis S.C. Lam, Shabbir Moochhala, Ning Wu, Lishan Wang, Cheng Shu Chaw and Xueming Liu and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Biomaterials.

In The Last Decade

D. Tan

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Tan Singapore	13	329	246	239	236	234	30	1.2k
M. Elisabete C.D. Real Oliveira Portugal	23	160 0.5×	320 1.3×	161 0.7×	569 2.4×	186 0.8×	69	1.6k
Noriyuki Kunou Japan	16	321 1.0×	75 0.3×	120 0.5×	276 1.2×	291 1.2×	18	1.1k
Jiaqing Wang China	26	620 1.9×	231 0.9×	434 1.8×	706 3.0×	120 0.5×	82	1.7k
Stephen Brocchini United Kingdom	17	241 0.7×	398 1.6×	263 1.1×	327 1.4×	135 0.6×	31	1.1k
Moses O. Oyewumi United States	18	441 1.3×	112 0.5×	368 1.5×	593 2.5×	132 0.6×	39	1.6k
Jeh‐Chang Yang United States	6	242 0.7×	70 0.3×	174 0.7×	297 1.3×	117 0.5×	11	853
Ghanashyam Acharya United States	20	456 1.4×	114 0.5×	444 1.9×	366 1.6×	233 1.0×	37	1.6k
Anupa R. Menjoge United States	10	310 0.9×	254 1.0×	155 0.6×	566 2.4×	58 0.2×	11	1.3k
Monia Zignani Switzerland	9	315 1.0×	90 0.4×	162 0.7×	348 1.5×	55 0.2×	9	733

Countries citing papers authored by D. Tan

Since Specialization

Citations

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

Fields of papers citing papers by D. Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of D. Tan. A scholar is included among the top collaborators of D. Tan 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 D. Tan. D. Tan 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

Tan, D., M. Schöller, & Eva-Kathrin Ehmoser. (2025). Rapid Multi-Well Evaluation of Assorted Materials for Hydrogel-Assisted Giant Unilamellar Vesicle Production: Empowering Bottom-Up Synthetic Biology. Gels. 11(1). 29–29. 1 indexed citations

Chen, Yang, et al.. (2025). Transcriptomic and Metabolomic Analysis Reveals the Impact of Autophagy Regulation on Purine Content in Mutton. Foods. 14(5). 718–718.

Lai, Chao‐Qiang, et al.. (2025). Transcription factor MAFA regulates muscle growth via calcium ion channels and receptor tyrosine kinase activation. International Journal of Biological Macromolecules. 321(Pt 3). 146518–146518.

Yang, Yao‐Hsu, et al.. (2025). Acute corticosteroid-responsive post-infection myositis in adults. Journal of Neuroimmunology. 400. 578543–578543.

Fu, Yu, Yang Chen, D. Tan, et al.. (2025). Effects of Muscle Fiber Composition on Meat Quality, Flavor Characteristics, and Nutritional Traits in Lamb. Foods. 14(13). 2309–2309. 3 indexed citations

Tan, D., Indrik Wijaya, Elena N. Vasina, et al.. (2012). A novel microfluidics-based method for probing weak protein–protein interactions. Lab on a Chip. 12(15). 2726–2726. 3 indexed citations

Tan, D., et al.. (2012). In Vitro Expressed GPCR Inserted in Polymersome Membranes for Ligand‐Binding Studies. Angewandte Chemie International Edition. 52(2). 749–753. 45 indexed citations

Tan, D., et al.. (2012). In‐vitro‐funktionalisierte Polymersomen: eine Strategie für die Wirkstoffsuche. Angewandte Chemie. 125(2). 777–781. 6 indexed citations

Tan, D., Lin‐Yue Lanry Yung, & Partha Roy. (2010). Controlled microscale diffusion gradients in quiescent extracellular fluid. Biomedical Microdevices. 12(3). 523–532. 11 indexed citations

10.

Zhang, Lin, D. Tan, Partha Roy, & Dieter Trau. (2008). In-situ measurement of cellular microenvironments in a microfluidic device. Lab on a Chip. 9(2). 257–262. 29 indexed citations

11.

Soppimath, Kumaresh S., D. Tan, & Yanyan Yang. (2005). pH‐Triggered Thermally Responsive Polymer Core–Shell Nanoparticles for Drug Delivery. Advanced Materials. 17(3). 318–323. 342 indexed citations

12.

Zhou, Lei, Roger W. Beuerman, Michael E. Grigg, et al.. (2004). Proteomic Analysis of Human Tears: Defensin Expression after Ocular Surface Surgery. Journal of Proteome Research. 3(3). 410–416. 96 indexed citations

13.

Wu, Ning, Lishan Wang, D. Tan, Shabbir Moochhala, & Yi‐Yan Yang. (2004). Mathematical modeling and in vitro study of controlled drug release via a highly swellable and dissoluble polymer matrix: polyethylene oxide with high molecular weights. Journal of Controlled Release. 102(3). 569–581. 101 indexed citations

14.

Beuerman, Roger W., et al.. (2003). Two Models of Experimental Myopia in the Mouse. Investigative Ophthalmology & Visual Science. 44(13). 4338–4338. 6 indexed citations

15.

Chaw, Cheng Shu, et al.. (2003). Design of physostigmine-loaded polymeric microparticles for pretreatment against exposure to organophosphate agents. Biomaterials. 24(7). 1271–1277. 8 indexed citations

16.

Saw, Seang‐Mei, et al.. (2003). Posterior Segment Changes in Myopic Children From a Singapore School Cohort. Investigative Ophthalmology & Visual Science. 44(13). 799–799. 1 indexed citations

17.

Chaw, Cheng Shu, et al.. (2003). Thermally responsive core-shell nanoparticles self-assembled from cholesteryl end-capped and grafted polyacrylamides:. Biomaterials. 25(18). 4297–4308. 105 indexed citations

18.

Xiong, X., Veluchamy A. Barathi, Roger W. Beuerman, & D. Tan. (2003). Assay of leucine aminopeptidase activity in vitro using large-pore reversed-phase chromatography with fluorescence detection. Journal of Chromatography B. 796(1). 63–70. 12 indexed citations

19.

Yang, Yi‐Yan, et al.. (2001). POE–PEG–POE triblock copolymeric microspheres containing protein. Journal of Controlled Release. 75(1-2). 129–141. 17 indexed citations

20.

Tan, D., et al.. (2001). A small peptide derived from Flt‐1 (VEGFR‐1) functions as an angiogenic inhibitor. FEBS Letters. 494(3). 150–156. 31 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