Jeak Ling Ding

8.3k total citations
168 papers, 6.7k citations indexed

About

Jeak Ling Ding is a scholar working on Immunology, Molecular Biology and Microbiology. According to data from OpenAlex, Jeak Ling Ding has authored 168 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Immunology, 72 papers in Molecular Biology and 38 papers in Microbiology. Recurrent topics in Jeak Ling Ding's work include Antimicrobial Peptides and Activities (38 papers), Immune Response and Inflammation (37 papers) and Invertebrate Immune Response Mechanisms (25 papers). Jeak Ling Ding is often cited by papers focused on Antimicrobial Peptides and Activities (38 papers), Immune Response and Inflammation (37 papers) and Invertebrate Immune Response Mechanisms (25 papers). Jeak Ling Ding collaborates with scholars based in Singapore, France and United States. Jeak Ling Ding's co-authors include Bow Ho, Bow Ho, Nguan Soon Tan, Zhiwei Ang, Vladimı́r Frecer, Thorsten Wohland, Derrick Sek Tong Ong, Yong Zhu, Saravanan Thangamani and T.J. Lam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Jeak Ling Ding

167 papers receiving 6.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeak Ling Ding Singapore 46 2.7k 2.5k 942 642 516 168 6.7k
Ruey‐Bing Yang Taiwan 36 3.2k 1.2× 3.3k 1.3× 614 0.7× 446 0.7× 823 1.6× 93 8.5k
Anders H. Johnsen Denmark 48 3.8k 1.4× 1.5k 0.6× 1.3k 1.3× 798 1.2× 517 1.0× 139 8.3k
María A. Juliano Brazil 47 4.8k 1.8× 806 0.3× 443 0.5× 635 1.0× 872 1.7× 376 9.1k
Tony E. Hugli United States 63 3.6k 1.4× 6.4k 2.5× 401 0.4× 616 1.0× 287 0.6× 205 13.0k
Åke Engström Sweden 47 4.8k 1.8× 2.4k 0.9× 2.2k 2.3× 729 1.1× 313 0.6× 112 8.7k
Wolf‐Georg Forssmann Germany 54 4.5k 1.7× 1.6k 0.6× 1.9k 2.0× 454 0.7× 374 0.7× 259 10.3k
Jun Li China 53 4.9k 1.8× 6.7k 2.7× 376 0.4× 655 1.0× 1.5k 3.0× 480 13.8k
Sangdun Choi South Korea 49 3.9k 1.5× 2.0k 0.8× 295 0.3× 458 0.7× 677 1.3× 185 8.0k
Hubert Kalbacher Germany 60 7.2k 2.7× 3.4k 1.3× 2.1k 2.2× 860 1.3× 806 1.6× 282 14.3k
Lynda M. Stuart United States 35 2.8k 1.1× 4.4k 1.7× 294 0.3× 354 0.6× 311 0.6× 54 7.5k

Countries citing papers authored by Jeak Ling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jeak Ling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeak Ling Ding. 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 Jeak Ling Ding. The network helps show where Jeak Ling Ding may publish in the future.

Co-authorship network of co-authors of Jeak Ling Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jeak Ling Ding. A scholar is included among the top collaborators of Jeak Ling Ding 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 Jeak Ling Ding. Jeak Ling Ding 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.
Salazar, Andres Μ., et al.. (2023). Hiltonol, a dsRNA Mimic, Promotes NK Cell Anticancer Cytotoxicity Through TAZ Cytoplasmic Sequestration. Advanced Therapeutics. 6(8). 2 indexed citations
3.
Ding, Jeak Ling, et al.. (2023). The mechanobiology of NK cells- ‘Forcing NK to Sense’ target cells. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1878(2). 188860–188860. 12 indexed citations
4.
Chang, Shu‐Chun, et al.. (2021). A Novel Signature of CCNF-Associated E3 Ligases Collaborate and Counter Each Other in Breast Cancer. Cancers. 13(12). 2873–2873. 16 indexed citations
5.
Chang, Shu‐Chun, Emily Chia‐Yu Su, Tsung‐Han Hsieh, et al.. (2021). Hiltonol Cocktail Kills Lung Cancer Cells by Activating Cancer-Suppressors, PKR/OAS, and Restraining the Tumor Microenvironment. International Journal of Molecular Sciences. 22(4). 1626–1626. 14 indexed citations
6.
7.
Ang, Zhiwei, et al.. (2019). Novel AU-rich proximal UTR sequences (APS) enhance CXCL8 synthesis upon the induction of rpS6 phosphorylation. PLoS Genetics. 15(4). e1008077–e1008077. 6 indexed citations
8.
Zheng, Liangzhen, et al.. (2019). Comprehensive Analysis of ERK1/2 Substrates for Potential Combination Immunotherapies. Trends in Pharmacological Sciences. 40(11). 897–910. 48 indexed citations
9.
Chang, Shu‐Chun, et al.. (2019). Macrophages protect mycoplasma‐infected chronic myeloid leukemia cells from natural killer cell killing. Immunology and Cell Biology. 98(2). 138–151. 7 indexed citations
10.
Ding, Jeak Ling, et al.. (2018). Loss of T‐bet confers survival advantage to influenza–bacterial superinfection. The EMBO Journal. 38(1). 21 indexed citations
11.
Leong, Wai Yie & Jeak Ling Ding. (2014). The Unexplored Roles of Human Serum IgA. DNA and Cell Biology. 33(12). 823–829. 71 indexed citations
12.
Zhu, Pengcheng, Ming Tan, Chek Kun Tan, et al.. (2011). Angiopoietin-like 4 Protein Elevates the Prosurvival Intracellular O2−:H2O2 Ratio and Confers Anoikis Resistance to Tumors. Cancer Cell. 19(3). 401–415. 222 indexed citations
13.
Zhang, Jing, Lifeng Yang, Ganesh S. Anand, Bow Ho, & Jeak Ling Ding. (2011). Pathophysiological condition changes the conformation of a flexible FBG-related protein, switching it from pathogen-recognition to host-interaction. Biochimie. 93(10). 1710–1719. 9 indexed citations
14.
Yang, Lifeng, Jing Zhang, & Jeak Ling Ding. (2011). Peptide Isomerization Induced by pH Change Regulates the S1 Binding Site in Ficolins. Australian Journal of Chemistry. 64(7). 887–893. 2 indexed citations
15.
Peng, Jun, Quan Yuan, Bin Lin, et al.. (2010). SARM inhibits both TRIF‐ and MyD88‐mediated AP‐1 activation. European Journal of Immunology. 40(6). 1738–1747. 99 indexed citations
16.
Yu, Lanlan, Lin Guo, Jeak Ling Ding, et al.. (2008). Interaction of an artificial antimicrobial peptide with lipid membranes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1788(2). 333–344. 56 indexed citations
17.
Ong, Derrick Sek Tong, et al.. (2006). Iron-withholding strategy in innate immunity. Immunobiology. 211(4). 295–314. 219 indexed citations
18.
Frecer, Vladimı́r, Bow Ho, & Jeak Ling Ding. (2000). Molecular dynamics study on lipid A from Escherichia coli: insights into its mechanism of biological action. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1466(1-2). 87–104. 23 indexed citations
19.
Tan, Nguan Soon, et al.. (1999). Temperature dependence of estrogen binding: importance of a subzone in the ligand binding domain of a novel piscine estrogen receptor. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1452(2). 103–120. 47 indexed citations
20.
Tan, Nguan Soon, Toong Jin Lam, & Jeak Ling Ding. (1996). Transcription regulatory signals in the 5′ and 3′ regions of Oreochromis aureus ER gene. Molecular and Cellular Endocrinology. 123(2). 149–161. 4 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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