Yung C. Lam

1.6k total citations
9 papers, 1.3k citations indexed

About

Yung C. Lam is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Yung C. Lam has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Yung C. Lam's work include Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (3 papers) and Ubiquitin and proteasome pathways (3 papers). Yung C. Lam is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (3 papers) and Ubiquitin and proteasome pathways (3 papers). Yung C. Lam collaborates with scholars based in United States, Taiwan and India. Yung C. Lam's co-authors include Huda Y. Zoghbi, Juan Botas, Harry T. Orr, Hung-Kai Chen, Michael D. Kaytor, Michael Fernández, Summer F. Acevedo, Alastair Aitken, Pedro Fernández-Fúnez and Efthimios M. C. Skoulakis and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Yung C. Lam

9 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yung C. Lam United States	9	1.1k	514	237	133	125	9	1.3k
Nicole Assard France	13	748 0.7×	136 0.3×	145 0.6×	70 0.5×	165 1.3×	14	1.0k
Edgardo Rodríguez-Lebrón United States	15	944 0.9×	566 1.1×	71 0.3×	54 0.4×	135 1.1×	17	1.1k
Yuxi Shan China	15	707 0.6×	311 0.6×	92 0.4×	61 0.5×	135 1.1×	25	922
Chiranjeevi Sandi United Kingdom	17	821 0.7×	561 1.1×	99 0.4×	46 0.3×	97 0.8×	18	948
Kumi Sakoe Japan	20	846 0.8×	461 0.9×	80 0.3×	45 0.3×	85 0.7×	33	1.1k
Jason G. Glanzer United States	17	761 0.7×	197 0.4×	120 0.5×	122 0.9×	75 0.6×	22	1.2k
Ajit Singh Dhaunchak Canada	12	447 0.4×	167 0.3×	163 0.7×	83 0.6×	115 0.9×	14	794
Gretchen Kiser United States	13	965 0.9×	145 0.3×	118 0.5×	85 0.6×	287 2.3×	17	1.2k
Metodi D. Metodiev France	15	1.4k 1.3×	93 0.2×	200 0.8×	92 0.7×	92 0.7×	21	1.6k
Luis Tecedor United States	14	689 0.6×	147 0.3×	300 1.3×	393 3.0×	213 1.7×	20	1.1k

Countries citing papers authored by Yung C. Lam

Since Specialization

Citations

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

Fields of papers citing papers by Yung C. Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung C. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Yung C. Lam. A scholar is included among the top collaborators of Yung C. 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 Yung C. Lam. Yung C. Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Huo, Longfei, Tzu-Hsuan Huang, Yung C. Lam, et al.. (2014). Activation of Keap1/Nrf2 signaling pathway by nuclear epidermal growth factor receptor in cancer cells.. PubMed. 6(6). 649–63. 35 indexed citations

Shen, Jia, Weiya Xia, Yekaterina B. Khotskaya, et al.. (2013). EGFR modulates microRNA maturation in response to hypoxia through phosphorylation of AGO2. Nature. 497(7449). 383–387. 293 indexed citations

Lam, Yung C., Shamima Akhter, Peili Gu, et al.. (2010). SNMIB/Apollo protects leading‐strand telomeres against NHEJ‐mediated repair. The EMBO Journal. 29(13). 2230–2241. 98 indexed citations

Akhter, Shamima, Yung C. Lam, Sandy Chang, & Randy J. Legerski. (2010). The telomeric protein SNM1B/Apollo is required for normal cell proliferation and embryonic development. Aging Cell. 9(6). 1047–1056. 19 indexed citations

Bowman, Aaron B., Yung C. Lam, Paymaan Jafar‐Nejad, et al.. (2007). Duplication of Atxn1l suppresses SCA1 neuropathology by decreasing incorporation of polyglutamine-expanded ataxin-1 into native complexes. Nature Genetics. 39(3). 373–379. 61 indexed citations

Al‐Ramahi, Ismael, Yung C. Lam, Hung-Kai Chen, et al.. (2006). CHIP Protects from the Neurotoxicity of Expanded and Wild-type Ataxin-1 and Promotes Their Ubiquitination and Degradation. Journal of Biological Chemistry. 281(36). 26714–26724. 154 indexed citations

Lam, Yung C., Aaron B. Bowman, Paymaan Jafar‐Nejad, et al.. (2006). ATAXIN-1 Interacts with the Repressor Capicua in Its Native Complex to Cause SCA1 Neuropathology. Cell. 127(7). 1335–1347. 246 indexed citations

Chen, Hung-Kai, Pedro Fernández-Fúnez, Summer F. Acevedo, et al.. (2003). Interaction of Akt-Phosphorylated Ataxin-1 with 14-3-3 Mediates Neurodegeneration in Spinocerebellar Ataxia Type 1. Cell. 113(4). 457–468. 333 indexed citations

Green, David, et al.. (2002). Unique biochemical and behavioral alterations in drosophilashibire^ts1 mutants imply a conformational state affecting dynamin subcellular distribution and synaptic vesicle cycling. Journal of Neurobiology. 53(3). 319–329. 18 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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