Kit S. Lam

24.1k total citations · 3 hit papers
404 papers, 18.9k citations indexed

About

Kit S. Lam is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Kit S. Lam has authored 404 papers receiving a total of 18.9k indexed citations (citations by other indexed papers that have themselves been cited), including 269 papers in Molecular Biology, 128 papers in Radiology, Nuclear Medicine and Imaging and 70 papers in Organic Chemistry. Recurrent topics in Kit S. Lam's work include Chemical Synthesis and Analysis (129 papers), Monoclonal and Polyclonal Antibodies Research (120 papers) and Cell Adhesion Molecules Research (46 papers). Kit S. Lam is often cited by papers focused on Chemical Synthesis and Analysis (129 papers), Monoclonal and Polyclonal Antibodies Research (120 papers) and Cell Adhesion Molecules Research (46 papers). Kit S. Lam collaborates with scholars based in United States, China and India. Kit S. Lam's co-authors include Ruiwu Liu, Yuanpei Li, Wenwu Xiao, Kai Xiao, Juntao Luo, Michal Lebl, Sydney E. Salmon, Victor J. Hruby, Evan M. Hersh and Richard J. Knapp and has published in prestigious journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Kit S. Lam

398 papers receiving 18.4k citations

Hit Papers

A new type of synthetic peptide library for identifying l... 1991 2026 2002 2014 1991 2011 1997 400 800 1.2k

Peers

Kit S. Lam
Kai Chen China
Philip S. Low United States
Ching‐Hsuan Tung United States
Robert J. Lee United States
Francis C. Szoka United States
Kai Chen China
Kit S. Lam
Citations per year, relative to Kit S. Lam Kit S. Lam (= 1×) peers Kai Chen

Countries citing papers authored by Kit S. Lam

Since Specialization
Citations

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

Fields of papers citing papers by Kit S. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kit S. Lam. 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 Kit S. Lam. The network helps show where Kit S. Lam may publish in the future.

Co-authorship network of co-authors of Kit S. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Kit S. Lam. A scholar is included among the top collaborators of Kit S. Lam 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 Kit S. Lam. Kit S. Lam 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.
Wu, Xuesong, Xiuting Liu, Yanyun Jiang, et al.. (2024). Topical treatment of tyrosine kinase 2 inhibitor through borneol-embedded hydrogel: Evaluation for preventive, therapeutic, and Recurrent management of psoriasis. Bioactive Materials. 41. 83–95. 8 indexed citations
2.
Hu, Michelle, et al.. (2024). A novel lipophilic amiloride derivative efficiently kills chemoresistant breast cancer cells. Scientific Reports. 14(1). 20263–20263. 1 indexed citations
4.
Gao, Kewa, Dake Hao, Andrew Li, et al.. (2023). Engineered multi-functional, pro-angiogenic collagen-based scaffolds loaded with endothelial cells promote large deep burn wound healing. Frontiers in Pharmacology. 14. 1125209–1125209. 6 indexed citations
5.
Zhang, Lu, et al.. (2021). Transformable amyloid-beta mimetic peptide amphiphiles for lysosomal disruption in non-small cell lung cancer. Biomaterials. 277. 121078–121078. 18 indexed citations
6.
Wu, Hao, Hongwei Lu, Wenwu Xiao, et al.. (2020). Sequential Targeting in Crosslinking Nanotheranostics for Tackling the Multibarriers of Brain Tumors. Advanced Materials. 32(14). e1903759–e1903759. 64 indexed citations
7.
Thai, Phung N., Lu Ren, Padmini Sirish, et al.. (2020). Selectin-targeting glycosaminoglycan-peptide conjugate limits neutrophil-mediated cardiac reperfusion injury. Cardiovascular Research. 118(1). 267–281. 17 indexed citations
8.
Shih, Tsung‐Chieh, Ruiwu Liu, Chun‐Te Wu, et al.. (2018). Targeting Galectin-1 Impairs Castration-Resistant Prostate Cancer Progression and Invasion. Clinical Cancer Research. 24(17). 4319–4331. 43 indexed citations
9.
Shih, Tsung‐Chieh, Ruiwu Liu, Gabriel Fung, et al.. (2017). A Novel Galectin-1 Inhibitor Discovered through One-Bead Two-Compound Library Potentiates the Antitumor Effects of Paclitaxel in vivo. Molecular Cancer Therapeutics. 16(7). 1212–1223. 32 indexed citations
10.
Mori, Seiji, Naomasa Kawaguchi, Yoshinosuke Hamada, et al.. (2017). The integrin-binding defective FGF2 mutants potently suppress FGF2 signalling and angiogenesis. Bioscience Reports. 37(2). 41 indexed citations
11.
Xiao, Kai, Tzu‐yin Lin, Kit S. Lam, & Yuanpei Li. (2017). A facile strategy for fine-tuning the stability and drug release of stimuli-responsive cross-linked micellar nanoparticles towards precision drug delivery. Nanoscale. 9(23). 7765–7770. 22 indexed citations
12.
Wang, Yan, Wenwu Xiao, Yonghong Zhang, et al.. (2015). Optimization of RGD-Containing Cyclic Peptides against αvβ3 Integrin. Molecular Cancer Therapeutics. 15(2). 232–240. 40 indexed citations
13.
Xiao, Kai, Yuanpei Li, Joyce Lee, et al.. (2012). “OA02” Peptide Facilitates the Precise Targeting of Paclitaxel-Loaded Micellar Nanoparticles to Ovarian Cancer In Vivo. Cancer Research. 72(8). 2100–2110. 74 indexed citations
14.
Duru, Nadire, Ming Fan, Demet Candas, et al.. (2012). HER2-Associated Radioresistance of Breast Cancer Stem Cells Isolated from HER2-Negative Breast Cancer Cells. Clinical Cancer Research. 18(24). 6634–6647. 169 indexed citations
15.
Carpenter, Richard D., Arutselvan Natarajan, Edmond Y. Lau, et al.. (2010). Halogenated Benzimidazole Carboxamides Target Integrin α4β1 on T-Cell and B-Cell Lymphomas. Cancer Research. 70(13). 5448–5456. 16 indexed citations
16.
Xiao, Wenwu, Yan Wang, Edmond Y. Lau, et al.. (2010). The Use of One-Bead One-Compound Combinatorial Library Technology to Discover High-Affinity αvβ3 Integrin and Cancer Targeting Arginine-Glycine-Aspartic Acid Ligands with a Built-in Handle. Molecular Cancer Therapeutics. 9(10). 2714–2723. 63 indexed citations
17.
Nair, Rajesh R., Michael F. Emmons, Anne E. Cress, et al.. (2009). HYD1-induced increase in reactive oxygen species leads to autophagy and necrotic cell death in multiple myeloma cells. Molecular Cancer Therapeutics. 8(8). 2441–2451. 33 indexed citations
18.
Li, Peng, et al.. (2008). In vivo optical imaging of human lymphoma xenograft using a library-derived peptidomimetic against α4β1 integrin. Molecular Cancer Therapeutics. 7(2). 432–437. 25 indexed citations
19.
Mařı́k, Jan & Kit S. Lam. (2006). Peptide and Small Molecule Microarrays. ChemInform. 37(30). 1 indexed citations
20.
Lebl, Michal, Viktor Krchňák, Nikolai Sepetov, et al.. (1994). Synthetic combinatorial libraries - A new tool for drug design: Methods for identifying the composition of compounds from peptide and/or nonpeptide libraries. Journal of Protein Chemistry. 13(5). 484–486. 3 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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