I.J. Lim

2.0k total citations · 1 hit paper
19 papers, 1.6k citations indexed

About

I.J. Lim is a scholar working on Dermatology, Rehabilitation and Biomaterials. According to data from OpenAlex, I.J. Lim has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Dermatology, 7 papers in Rehabilitation and 5 papers in Biomaterials. Recurrent topics in I.J. Lim's work include Dermatologic Treatments and Research (10 papers), Wound Healing and Treatments (6 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). I.J. Lim is often cited by papers focused on Dermatologic Treatments and Research (10 papers), Wound Healing and Treatments (6 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). I.J. Lim collaborates with scholars based in Singapore, United States and South Korea. I.J. Lim's co-authors include Boon‐Huat Bay, Tuan Q. Phan, Yanzhong Zhang, Seeram Ramakrishna, Chwee Teck Lim, Eric Chong, A. Mukhopadhyay, T.T. Phan, Xing Cao and Oliver Aalami and has published in prestigious journals such as Advanced Functional Materials, Oncogene and Acta Biomaterialia.

In The Last Decade

I.J. Lim

19 papers receiving 1.5k citations

Hit Papers

Evaluation of electrospun PCL/gelatin nanofibrous scaffol... 2007 2026 2013 2019 2007 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
I.J. Lim Singapore 17 719 460 373 371 346 19 1.6k
O. Damour France 24 396 0.6× 353 0.8× 294 0.8× 180 0.5× 278 0.8× 65 1.4k
Wei‐Qiang Tan China 20 348 0.5× 714 1.6× 251 0.7× 528 1.4× 291 0.8× 67 1.7k
Agnes S. Klar Switzerland 21 514 0.7× 647 1.4× 402 1.1× 170 0.5× 254 0.7× 56 1.6k
Johan P.E. Junker Sweden 22 520 0.7× 759 1.6× 260 0.7× 135 0.4× 431 1.2× 47 1.6k
F. Braye France 19 343 0.5× 817 1.8× 212 0.6× 298 0.8× 793 2.3× 73 1.8k
Adrian McArdle United States 20 388 0.5× 595 1.3× 393 1.1× 133 0.4× 451 1.3× 42 1.7k
Yoshimitsu Kuroyanagi Japan 24 578 0.8× 835 1.8× 151 0.4× 155 0.4× 403 1.2× 88 1.5k
Liying Cheng China 22 813 1.1× 475 1.0× 616 1.7× 143 0.4× 335 1.0× 51 1.6k
Satoko Kishimoto Japan 21 568 0.8× 476 1.0× 239 0.6× 171 0.5× 456 1.3× 67 1.8k
Jie Ding Canada 29 497 0.7× 1.1k 2.5× 385 1.0× 745 2.0× 499 1.4× 65 2.5k

Countries citing papers authored by I.J. Lim

Since Specialization
Citations

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

Fields of papers citing papers by I.J. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I.J. Lim

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

All Works

19 of 19 papers shown
1.
Ong, Chin‐Tong, Antonino Carbone, A. Mukhopadhyay, et al.. (2011). Interleukin-18 system plays an important role in keloid pathogenesis via epithelial-mesenchymal interactions. British Journal of Dermatology. 166(6). 1275–1288. 42 indexed citations
2.
Mukhopadhyay, A., et al.. (2010). Comparative proteomic analysis between normal skin and keloid scar. British Journal of Dermatology. 162(6). 1302–1315. 52 indexed citations
3.
Mukhopadhyay, A., Sui Yung Chan, Annette Shoba Vincent, et al.. (2010). The role of stem cell factor and c-KIT in keloid pathogenesis: do tyrosine kinase inhibitors have a potential therapeutic role?. British Journal of Dermatology. 164(2). 372–386. 18 indexed citations
4.
Mukhopadhyay, A., Xiaoming Cao, I.J. Lim, et al.. (2009). Hepatoma‐derived growth factor and its role in keloid pathogenesis. Journal of Cellular and Molecular Medicine. 14(6a). 1328–1337. 15 indexed citations
5.
Chong, Eric, Tuan Q. Phan, I.J. Lim, et al.. (2007). Evaluation of electrospun PCL/gelatin nanofibrous scaffold for wound healing and layered dermal reconstitution☆. Acta Biomaterialia. 3(3). 321–330. 743 indexed citations breakdown →
6.
Mukhopadhyay, A., A Khoo, Sui Yung Chan, et al.. (2007). Targeting of Sp1 transcription factor: a novel therapeutic approach for Keloids, an in vitro analysis. Experimental Dermatology. 16(12). 1023–1031. 8 indexed citations
7.
Ong, Chin‐Tong, et al.. (2007). mTOR as a potential therapeutic target for treatment of keloids and excessive scars. Experimental Dermatology. 16(5). 394–404. 82 indexed citations
8.
Lim, I.J., et al.. (2006). Stat3 contributes to keloid pathogenesis via promoting collagen production, cell proliferation and migration. Oncogene. 25(39). 5416–5425. 112 indexed citations
9.
Mukhopadhyay, A., et al.. (2006). Epithelial–mesenchymal interactions in keloid pathogenesis modulate vascular endothelial growth factor expression and secretion. The Journal of Pathology. 211(1). 95–108. 65 indexed citations
10.
Wang, Lingling, et al.. (2006). Fabrication and Characterization of Nanostructured and Thermosensitive Polymer Membranes for Wound Healing and Cell Grafting. Advanced Functional Materials. 16(9). 1171–1178. 30 indexed citations
11.
Phan, T.T., et al.. (2005). Evaluation of cell culture on the polyurethane-based membrane (TegadermTM): implication for tissue engineering of skin. Cell and Tissue Banking. 6(2). 91–97. 17 indexed citations
12.
Lim, I.J., et al.. (2005). Smad3 signalling plays an important role in keloid pathogenesis via epithelial–mesenchymal interactions. The Journal of Pathology. 207(2). 232–242. 80 indexed citations
13.
Mukhopadhyay, A., et al.. (2005). Conditioned medium from keloid keratinocyte/keloid fibroblast coculture induces contraction of fibroblast-populated collagen lattices. British Journal of Dermatology. 152(4). 639–645. 24 indexed citations
14.
Sebastin, Sandeep J., et al.. (2005). The Prevalence of Absence of the Palmaris Longus – A Study in a Chinese Population and a Review of the Literature. Journal of Hand Surgery (European Volume). 30(5). 525–527. 80 indexed citations
16.
Chaw, Cheng Shu, Yi‐Yan Yang, I.J. Lim, & T.T. Phan. (2003). Water-soluble betamethasone-loaded poly(lactide-co-glycolide) hollow microparticles as a sustained release dosage form. Journal of Microencapsulation. 20(3). 349–359. 17 indexed citations
17.
Chaw, Cheng Shu, Yi‐Yan Yang, I.J. Lim, & T.T. Phan. (2003). Water-soluble betamethasone-loaded poly(lactide-co-glycolide) hollow microparticles as a sustained release dosage form. Journal of Microencapsulation. 20(3). 349–359. 17 indexed citations
18.
Phan, Tuan Q., I.J. Lim, Boon‐Huat Bay, et al.. (2002). Differences in collagen production between normal and keloid-derived fibroblasts in serum-media co-culture with keloid-derived keratinocytes. Journal of Dermatological Science. 29(1). 26–34. 41 indexed citations
19.
Chua, S., et al.. (1994). Influence of breastfeeding and nipple stimulation on postpartum uterine activity. BJOG An International Journal of Obstetrics & Gynaecology. 101(9). 804–805. 92 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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