Yun Wah Lam

10.3k citations
149 papers · 8.5k indexed · 3 hit papers · h-index 45
Topics
Silicon and Solar Cell Technologies (23 papers)Semiconductor materials and devices (21 papers)Thin-Film Transistor Technologies (18 papers)

In The Last Decade

Yun Wah Lam

144 papers receiving 8.4k citations

Hit Papers

Nucleolar proteome dynamics2002202620102018200520022021250500750

Peers

Yun Wah Lam
Comparison fields: 5 of 156
  • Molecular Biology 4.9k
  • Materials Chemistry 1.7k
  • Biomedical Engineering 983
  • Oncology 911
  • Spectroscopy 817
Replace Minoru Sakurai with:
Minoru Sakurai Japan
Susumu Uchiyama Japan
William J. Dreyer United States
J. Robin Harris Germany
Gilles Lajoie Canada
Kouhei Tsumoto Japan
Manuel Koch Germany
Stefan Tenzer Germany
Paul H. Schlesinger United States
Takashi Hirano Japan
Yun Wah Lam relative to Minoru Sakurai Japan Minoru Sakurai's profile →
Citations per field
00.5×2.6×
Minoru Sakurai · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 26
3
TRPM7 kinase-mediated immunomodulation in macrophage plays a central role in magnesium ion-induced bone regenerationbreakdown →
275
4 35
5 14
6 7
7 27
8 29
9 207
10 111
11 74
12 44
13 30
14 66
15 6
16 157
17 215
18 128
19 124
20 34

About Yun Wah Lam

Yun Wah Lam is a scholar working on Cell Biology, Biophysics and Electrical and Electronic Engineering, having authored 149 papers that have together received 8.5k indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (23 papers), Semiconductor materials and devices (21 papers) and Thin-Film Transistor Technologies (18 papers). The work is most often cited by research in Molecular Biology (4.9k citations), Spectroscopy (817 citations) and Cell Biology (783 citations). Yun Wah Lam has collaborated with scholars based in Hong Kong, United Kingdom and China. Frequent co-authors include Angus I. Lamond, Matthias Mann, Jens Andersen, Carol E. Lyon, Anthony K. L. Leung, Laura Trinkle‐Mulcahy, Archa H. Fox, Shuk Han Cheng, Shao‐En Ong and Hanno Steen. Their work appears in journals such as Nature, Physical Review Letters and Journal of Biological Chemistry.

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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