Yun Wah Lam

10.3k total citations · 3 hit papers
149 papers, 8.5k citations indexed

About

Yun Wah Lam is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Yun Wah Lam has authored 149 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Electrical and Electronic Engineering, 45 papers in Molecular Biology and 33 papers in Materials Chemistry. Recurrent topics in Yun Wah Lam's work include Silicon and Solar Cell Technologies (23 papers), Semiconductor materials and devices (21 papers) and Thin-Film Transistor Technologies (18 papers). Yun Wah Lam is often cited by papers focused on Silicon and Solar Cell Technologies (23 papers), Semiconductor materials and devices (21 papers) and Thin-Film Transistor Technologies (18 papers). Yun Wah Lam collaborates with scholars based in Hong Kong, United Kingdom and China. Yun Wah Lam's co-authors include Angus I. Lamond, Jens Andersen, Matthias Mann, Carol E. Lyon, Anthony K. L. Leung, Laura Trinkle‐Mulcahy, Archa H. Fox, Shuk Han Cheng, Shao‐En Ong and Hanno Steen and has published in prestigious journals such as Nature, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Yun Wah Lam

144 papers receiving 8.4k citations

Hit Papers

Nucleolar proteome dynamics 2002 2026 2010 2018 2005 2002 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Wah Lam Hong Kong 45 4.9k 1.7k 983 911 817 149 8.5k
Susumu Uchiyama Japan 46 4.8k 1.0× 1.0k 0.6× 793 0.8× 542 0.6× 273 0.3× 437 9.1k
Takashi Hirano Japan 44 3.3k 0.7× 878 0.5× 936 1.0× 604 0.7× 366 0.4× 258 6.8k
Kouhei Tsumoto Japan 54 7.6k 1.6× 1.1k 0.6× 879 0.9× 788 0.9× 458 0.6× 419 11.5k
Alan S. Waggoner United States 54 6.0k 1.2× 2.1k 1.2× 2.1k 2.1× 277 0.3× 862 1.1× 127 11.0k
Jacqueline M. Matthews Australia 45 3.9k 0.8× 1.5k 0.9× 466 0.5× 543 0.6× 217 0.3× 151 9.0k
Isao Tanaka Japan 60 5.9k 1.2× 3.5k 2.1× 675 0.7× 737 0.8× 216 0.3× 621 15.8k
David G. Fernig United Kingdom 51 6.3k 1.3× 2.7k 1.6× 2.3k 2.4× 627 0.7× 310 0.4× 211 12.1k
Manuel Koch Germany 64 7.9k 1.6× 2.3k 1.4× 1.0k 1.1× 816 0.9× 577 0.7× 311 16.3k
Katharina Gaus Australia 58 6.7k 1.4× 1.3k 0.8× 2.3k 2.3× 710 0.8× 217 0.3× 255 12.2k
Ben N. G. Giepmans Netherlands 45 6.2k 1.3× 899 0.5× 901 0.9× 461 0.5× 325 0.4× 105 9.8k

Countries citing papers authored by Yun Wah Lam

Since Specialization
Citations

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

Fields of papers citing papers by Yun Wah Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Wah Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Wah Lam. A scholar is included among the top collaborators of Yun Wah 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 Yun Wah Lam. Yun Wah 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.
2.
Lee, Lawrence Cho‐Cheung, et al.. (2023). A Concerted Enzymatic and Bioorthogonal Approach for Extra‐ and Intracellular Activation of Environment‐Sensitive Ruthenium(II)‐Based Imaging Probes and Photosensitizers. Angewandte Chemie International Edition. 62(29). e202303931–e202303931. 26 indexed citations
4.
Qiao, Wei, Jie Shen, Wenhao Wang, et al.. (2021). TRPM7 kinase-mediated immunomodulation in macrophage plays a central role in magnesium ion-induced bone regeneration. Nature Communications. 12(1). 2885–2885. 275 indexed citations breakdown →
5.
Xu, Shisan, Fangjing Xie, Li Tian, et al.. (2020). Estrogen accelerates heart regeneration by promoting the inflammatory response in zebrafish. Journal of Endocrinology. 245(1). 39–51. 35 indexed citations
6.
Tong, Wing Yin, et al.. (2020). Deconstructing, Replicating, and Engineering Tissue Microenvironment for Stem Cell Differentiation. Tissue Engineering Part B Reviews. 26(6). 540–554. 14 indexed citations
7.
Lai, Julian C. L., et al.. (2018). Loneliness and Diurnal Salivary Cortisol in Emerging Adults. International Journal of Molecular Sciences. 19(7). 1944–1944. 27 indexed citations
8.
Babaei, Fatemeh, et al.. (2016). Contrast-Enhanced X-Ray Micro-Computed Tomography as a Versatile Method for Anatomical Studies of Adult Zebrafish. Zebrafish. 13(4). 310–316. 29 indexed citations
9.
Tan, Yi, Ruochuan Liu, Huatang Zhang, et al.. (2015). Design and Synthesis of Near-infrared Fluorescent Probes for Imaging of Biological Nitroxyl. Scientific Reports. 5(1). 16979–16979. 26 indexed citations
10.
Louie, Man‐Wai, et al.. (2013). Mitochondria-targeting cyclometalated iridium(III)–PEG complexes with tunable photodynamic activity. Biomaterials. 34(30). 7519–7532. 207 indexed citations
11.
Babaei, Fatemeh, Rajkumar Ramalingam, Yimin Liang, et al.. (2013). Novel Blood Collection Method Allows Plasma Proteome Analysis from Single Zebrafish. Journal of Proteome Research. 12(4). 1580–1590. 95 indexed citations
12.
Cheung, Hon‐Yeung, et al.. (2012). Differential Actions of Chlorhexidine on the Cell Wall of Bacillus subtilis and Escherichia coli. PLoS ONE. 7(5). e36659–e36659. 111 indexed citations
13.
Wang, Xian, et al.. (2012). Novel nucleolar isolation method reveals rapid response of human nucleolar proteomes to serum stimulation. Journal of Proteomics. 77. 521–530. 13 indexed citations
14.
Ni, Wen‐Xiu, Wai‐Lun Man, Raymond Wai‐Yin Sun, et al.. (2011). Osmium(vi) complexes as a new class of potential anti-cancer agents. Chemical Communications. 47(7). 2140–2140. 44 indexed citations
15.
Liu, Baohua, et al.. (2011). Quantitative nucleolar proteomics reveals nuclear re-organization during stress- induced senescence in mouse fibroblast. BMC Cell Biology. 12(1). 33–33. 30 indexed citations
16.
Westman, Belinda J., et al.. (2010). A Proteomic Screen for Nucleolar SUMO Targets Shows SUMOylation Modulates the Function of Nop5/Nop58. Molecular Cell. 39(4). 618–631. 66 indexed citations
17.
Liang, Yuying, Vivian Tam, HK Yip, et al.. (2010). Biochemical Characterization of the Cell-Biomaterial Interface by Quantitative Proteomics. Molecular & Cellular Proteomics. 9(10). 2089–2098. 6 indexed citations
18.
Trinkle‐Mulcahy, Laura, Jens Andersen, Yun Wah Lam, et al.. (2006). Repo-Man recruits PP1γ to chromatin and is essential for cell viability. The Journal of Cell Biology. 172(5). 679–692. 215 indexed citations
19.
Leung, Anthony K. L., Daniel W. Gerlich, Gail Miller, et al.. (2004). Quantitative kinetic analysis of nucleolar breakdown and reassembly during mitosis in live human cells. The Journal of Cell Biology. 166(6). 787–800. 128 indexed citations
20.
Green, Martin A., et al.. (1981). Electrostatic and other effects in inversion layer MIS solar cells. ANU Open Research (Australian National University). 1418–1421. 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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