Shawn Lim

3.1k total citations · 1 hit paper
9 papers, 1.7k citations indexed

About

Shawn Lim is a scholar working on Molecular Biology, Biomaterials and Cell Biology. According to data from OpenAlex, Shawn Lim has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biomaterials and 3 papers in Cell Biology. Recurrent topics in Shawn Lim's work include Electrospun Nanofibers in Biomedical Applications (5 papers), Pluripotent Stem Cells Research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Shawn Lim is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (5 papers), Pluripotent Stem Cells Research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Shawn Lim collaborates with scholars based in United States, Singapore and France. Shawn Lim's co-authors include Hai‐Quan Mao, Donovan Low, Guillaume Hoeffel, Florent Ginhoux, Tara L. Huber, Jiang Xu, Sing Yian Chew, Kevin J. Yarema, Hongjun Song and Gregory T. Christopherson and has published in prestigious journals such as Biomaterials, Advanced Drug Delivery Reviews and Polymer.

In The Last Decade

Shawn Lim

9 papers receiving 1.6k citations

Hit Papers

Origin and differentiation of microglia 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shawn Lim United States 9 587 483 470 446 334 9 1.7k
Lina R. Nih United States 14 366 0.6× 301 0.6× 436 0.9× 218 0.5× 407 1.2× 20 1.4k
Jiasong Guo China 27 465 0.8× 1.1k 2.2× 400 0.9× 244 0.5× 768 2.3× 71 2.5k
Simonetta Papa Italy 20 379 0.6× 539 1.1× 275 0.6× 200 0.4× 293 0.9× 26 1.4k
Naser Muja United States 26 621 1.1× 340 0.7× 631 1.3× 174 0.4× 309 0.9× 43 1.8k
Jared M. Cregg United States 14 528 0.9× 1.1k 2.4× 353 0.8× 195 0.4× 381 1.1× 15 2.0k
Vijayaraghava T.S. Rao Canada 16 234 0.4× 124 0.3× 322 0.7× 389 0.9× 429 1.3× 23 1.4k
Tatsuya Osaki Japan 20 344 0.6× 435 0.9× 1.3k 2.7× 273 0.6× 1.0k 3.0× 43 2.4k
Xueyu Hu China 25 380 0.6× 1.0k 2.1× 475 1.0× 136 0.3× 378 1.1× 64 2.0k
Timothy M. O’Shea United States 17 320 0.5× 1.3k 2.7× 281 0.6× 815 1.8× 773 2.3× 28 3.1k
Tobias Fuehrmann Canada 8 139 0.2× 331 0.7× 276 0.6× 267 0.6× 289 0.9× 8 1.0k

Countries citing papers authored by Shawn Lim

Since Specialization
Citations

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

Fields of papers citing papers by Shawn Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Lim

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

All Works

9 of 9 papers shown
1.
Chan, Tze Khee, Diah S. Bramono, Nasrine Bourokba, et al.. (2021). Polycyclic aromatic hydrocarbons regulate the pigmentation pathway and induce DNA damage responses in keratinocytes, a process driven by systemic immunity. Journal of Dermatological Science. 104(2). 83–94. 11 indexed citations
2.
Liew, Mei Shan, Shawn Lim, Dorra H’mida-Ben Brahim, et al.. (2017). ENPP1 Mutation Causes Recessive Cole Disease by Altering Melanogenesis. Journal of Investigative Dermatology. 138(2). 291–300. 17 indexed citations
3.
Ginhoux, Florent, Shawn Lim, Guillaume Hoeffel, Donovan Low, & Tara L. Huber. (2013). Origin and differentiation of microglia. Frontiers in Cellular Neuroscience. 7. 45–45. 655 indexed citations breakdown →
4.
Mahairaki, Vasiliki, Shawn Lim, Gregory T. Christopherson, et al.. (2010). Nanofiber Matrices Promote the Neuronal Differentiation of Human Embryonic Stem Cell-Derived Neural Precursors In Vitro. Tissue Engineering Part A. 17(5-6). 855–863. 90 indexed citations
5.
Lim, Shawn, et al.. (2010). The effect of nanofiber-guided cell alignment on the preferential differentiation of neural stem cells. Biomaterials. 31(34). 9031–9039. 206 indexed citations
6.
Xu, Jiang, Shawn Lim, Hai‐Quan Mao, & Sing Yian Chew. (2009). Current applications and future perspectives of artificial nerve conduits. Experimental Neurology. 223(1). 86–101. 317 indexed citations
7.
Lim, Shawn & Hai‐Quan Mao. (2009). Electrospun scaffolds for stem cell engineering. Advanced Drug Delivery Reviews. 61(12). 1084–1096. 245 indexed citations
8.
Lin, Kenneth, Kian Ngiap Chua, Gregory T. Christopherson, Shawn Lim, & Hai‐Quan Mao. (2007). Reducing electrospun nanofiber diameter and variability using cationic amphiphiles. Polymer. 48(21). 6384–6394. 66 indexed citations
9.
Lim, Shawn, I‐Chien Liao, & Kam W. Leong. (2006). Nonviral Gene Delivery from Nonwoven Fibrous Scaffolds Fabricated by Interfacial Complexation of Polyelectrolytes. Molecular Therapy. 13(6). 1163–1172. 44 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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