Jing Lim

4.3k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

Jing Lim is a scholar working on Biomedical Engineering, Biomaterials and Oncology. According to data from OpenAlex, Jing Lim has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 9 papers in Biomaterials and 6 papers in Oncology. Recurrent topics in Jing Lim's work include Bone Tissue Engineering Materials (16 papers), Graphene and Nanomaterials Applications (6 papers) and 3D Printing in Biomedical Research (5 papers). Jing Lim is often cited by papers focused on Bone Tissue Engineering Materials (16 papers), Graphene and Nanomaterials Applications (6 papers) and 3D Printing in Biomedical Research (5 papers). Jing Lim collaborates with scholars based in Singapore, United States and Germany. Jing Lim's co-authors include Swee‐Hin Teoh, Yuchun Liu, Julien Sage, Panagiotis Ntziachristos, Iannis Aifantis, Mark Seow Khoon Chong, Yu Gao, Chenjie Xu, Jerry Kok Yen Chan and Aaron Tan and has published in prestigious journals such as Chemical Society Reviews, Nature Communications and PLoS ONE.

In The Last Decade

Jing Lim

28 papers receiving 1.3k citations

Hit Papers

Review: Development of clinically relevant scaffolds for ... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Lim Singapore 17 621 379 350 238 223 29 1.3k
Kim C. O’Connor United States 21 728 1.2× 527 1.4× 333 1.0× 219 0.9× 447 2.0× 46 1.9k
Andrés J. Garcı́a United States 17 923 1.5× 487 1.3× 350 1.0× 123 0.5× 372 1.7× 20 1.7k
Caroline M. Curtin Ireland 25 925 1.5× 733 1.9× 453 1.3× 210 0.9× 320 1.4× 35 2.0k
Mark Seow Khoon Chong Singapore 23 782 1.3× 415 1.1× 520 1.5× 88 0.4× 511 2.3× 42 1.7k
Johanna Bolander Belgium 12 906 1.5× 239 0.6× 330 0.9× 82 0.3× 344 1.5× 19 1.3k
Theresa E. Hefferan United States 24 906 1.5× 680 1.8× 480 1.4× 264 1.1× 397 1.8× 32 2.4k
Eric Farrell Netherlands 28 1.1k 1.8× 622 1.6× 560 1.6× 172 0.7× 808 3.6× 76 2.9k
Philipp S. Lienemann Switzerland 18 897 1.4× 379 1.0× 334 1.0× 96 0.4× 209 0.9× 26 1.6k
Ander Abarrategi Spain 25 950 1.5× 568 1.5× 533 1.5× 374 1.6× 475 2.1× 50 2.5k
Inga Drosse Germany 16 607 1.0× 215 0.6× 239 0.7× 161 0.7× 440 2.0× 22 1.3k

Countries citing papers authored by Jing Lim

Since Specialization
Citations

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

Fields of papers citing papers by Jing Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Lim. A scholar is included among the top collaborators of Jing 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 Jing Lim. Jing Lim 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.
2.
Lim, Jing, et al.. (2022). A Porcine Model Using Adipose Stem Cell-Loaded Scaffolds for Alveolar Ridge Augmentation. Tissue Engineering Part C Methods. 28(5). 228–237. 5 indexed citations
3.
Shue, Yan Ting, Alexandros P. Drainas, Nasa Sinnott-Armstrong, et al.. (2022). A conserved YAP/Notch/REST network controls the neuroendocrine cell fate in the lungs. Nature Communications. 13(1). 2690–2690. 33 indexed citations
4.
Al‐Maawi, Sarah, Eva Dohle, Jing Lim, et al.. (2021). Biologization of Pcl-Mesh Using Platelet Rich Fibrin (Prf) Enhances Its Regenerative Potential In Vitro. International Journal of Molecular Sciences. 22(4). 2159–2159. 16 indexed citations
5.
Teoh, Swee‐Hin, et al.. (2019). Three-Dimensional Printed Polycaprolactone Scaffolds for Bone Regeneration Success and Future Perspective. Tissue Engineering Part A. 25(13-14). 931–935. 42 indexed citations
6.
Yang, Dian, Sarah K. Denny, Peyton Greenside, et al.. (2018). Intertumoral Heterogeneity in SCLC Is Influenced by the Cell Type of Origin. Cancer Discovery. 8(10). 1316–1331. 104 indexed citations
7.
Gao, Yu, et al.. (2017). Fabrication of a silver octahedral nanoparticle-containing polycaprolactone nanocomposite for antibacterial bone scaffolds. RSC Advances. 7(17). 10051–10056. 14 indexed citations
8.
Gao, Yu, Jing Lim, Yiyuan Han, et al.. (2016). Cryomilling for the fabrication of doxorubicin-containing silica-nanoparticle/polycaprolactone nanocomposite films. Nanoscale. 8(5). 2568–2574. 10 indexed citations
9.
Chong, Mark Seow Khoon, et al.. (2016). Human Bone Xenografts: from Preclinical Testing for Regenerative Medicine to Modeling of Diseases. 2(3). 158–170. 9 indexed citations
10.
Gao, Yu, Jing Lim, David Yeo, et al.. (2016). A Selective and Purification-Free Strategy for Labeling Adherent Cells with Inorganic Nanoparticles. ACS Applied Materials & Interfaces. 8(10). 6336–6343. 4 indexed citations
11.
Nga, Vincent Diong Weng, et al.. (2014). Effects of Polycaprolactone-Based Scaffolds on the Blood–Brain Barrier and Cerebral Inflammation. Tissue Engineering Part A. 21(3-4). 647–653. 11 indexed citations
12.
Ntziachristos, Panagiotis, Jing Lim, Julien Sage, & Iannis Aifantis. (2014). From Fly Wings to Targeted Cancer Therapies: A Centennial for Notch Signaling. Cancer Cell. 25(3). 318–334. 280 indexed citations
13.
Lim, Jing, Mark Seow Khoon Chong, Jerry Kok Yen Chan, & Swee‐Hin Teoh. (2014). Polymer Powder Processing of Cryomilled Polycaprolactone for Solvent‐Free Generation of Homogeneous Bioactive Tissue Engineering Scaffolds. Small. 10(12). 2495–2502. 22 indexed citations
14.
Chong, Mark Seow Khoon, et al.. (2014). Cocultures of Mesenchymal Stem Cells and Endothelial Cells As Organotypic Models of Prostate Cancer Metastasis. Molecular Pharmaceutics. 11(7). 2126–2133. 15 indexed citations
15.
Nga, Vincent Diong Weng, Jing Lim, Lu Jia, et al.. (2013). Brain Tissue Interaction with Three-Dimensional, Honeycomb Polycaprolactone-Based Scaffolds Designed for Cranial Reconstruction Following Traumatic Brain Injury. Tissue Engineering Part A. 19(21-22). 2382–2389. 16 indexed citations
17.
Lim, Jing, Mark Seow Khoon Chong, Erin Yiling Teo, et al.. (2013). Biocompatibility studies and characterization of poly(3‐hydroxybutyrate‐co‐3‐hydroxyhexanoate)/polycaprolactone blends. Journal of Biomedical Materials Research Part B Applied Biomaterials. 101B(5). 752–761. 28 indexed citations
19.
Wang, Zuyong, Erin Yiling Teo, Mark Seow Khoon Chong, et al.. (2012). Biomimetic Three-Dimensional Anisotropic Geometries by Uniaxial Stretch of Poly(ɛ-Caprolactone) Films for Mesenchymal Stem Cell Proliferation, Alignment, and Myogenic Differentiation. Tissue Engineering Part C Methods. 19(7). 538–549. 44 indexed citations
20.
Liu, Yuchun, Jing Lim, & Swee‐Hin Teoh. (2012). Review: Development of clinically relevant scaffolds for vascularised bone tissue engineering. Biotechnology Advances. 31(5). 688–705. 331 indexed citations breakdown →

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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