Michael K. Chan

7.0k total citations
115 papers, 5.5k citations indexed

About

Michael K. Chan is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Michael K. Chan has authored 115 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 16 papers in Oncology and 15 papers in Organic Chemistry. Recurrent topics in Michael K. Chan's work include Metal-Catalyzed Oxygenation Mechanisms (15 papers), Peptidase Inhibition and Analysis (10 papers) and RNA and protein synthesis mechanisms (9 papers). Michael K. Chan is often cited by papers focused on Metal-Catalyzed Oxygenation Mechanisms (15 papers), Peptidase Inhibition and Analysis (10 papers) and RNA and protein synthesis mechanisms (9 papers). Michael K. Chan collaborates with scholars based in United States, Hong Kong and Taiwan. Michael K. Chan's co-authors include Bing Hao, Douglas C. Rees, William H. Armstrong, Weimin Gong, Tomasz Fekner, Marianne M. Lee, Jongsun Kim, Joseph A. Krzycki, Arnulf Kletzin and Michael W. W. Adams and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael K. Chan

114 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael K. Chan United States	39	3.3k	1.1k	958	797	789	115	5.5k
Timothy L. Stemmler United States	43	2.6k 0.8×	946 0.9×	1.1k 1.2×	782 1.0×	513 0.7×	110	5.5k
Robert A. Scott United States	52	3.4k 1.0×	1.8k 1.7×	1.5k 1.6×	1.3k 1.6×	945 1.2×	191	7.8k
M.A. Carrondo Portugal	37	3.0k 0.9×	926 0.9×	960 1.0×	633 0.8×	566 0.7×	165	5.7k
Maarten Merkx Netherlands	50	3.9k 1.2×	842 0.8×	691 0.7×	294 0.4×	640 0.8×	167	7.0k
Richard W. Strange United Kingdom	40	2.0k 0.6×	1.1k 1.1×	1.1k 1.1×	561 0.7×	532 0.7×	115	4.6k
Tohru Koike Japan	46	4.1k 1.3×	1.6k 1.6×	943 1.0×	259 0.3×	2.0k 2.5×	195	8.3k
Pedro M. Matias Portugal	34	2.4k 0.7×	776 0.7×	612 0.6×	692 0.9×	452 0.6×	117	4.4k
Mark J. Nilges United States	40	1.4k 0.4×	892 0.8×	993 1.0×	812 1.0×	491 0.6×	101	3.8k
J. A. Cowan United States	48	5.0k 1.5×	1.4k 1.3×	1.2k 1.3×	1.7k 2.2×	1.8k 2.3×	249	9.0k
Donald M. Kurtz United States	48	2.8k 0.9×	1.4k 1.4×	3.1k 3.3×	1.2k 1.5×	1.2k 1.5×	172	6.7k

Countries citing papers authored by Michael K. Chan

Since Specialization

Citations

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

Fields of papers citing papers by Michael K. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Chan. 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 Michael K. Chan. The network helps show where Michael K. Chan may publish in the future.

Co-authorship network of co-authors of Michael K. Chan

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

All Works

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20 of 20 papers shown

Zhou, Haiyan, et al.. (2025). Development of Nanomolar Affinity Miniprotein Inhibitors Targeting α-Synuclein Aggregation as Promising Therapeutic Agents for Parkinson’s Disease. CCS Chemistry. 8(2). 867–881. 1 indexed citations

Kang, Patrick T., et al.. (2023). Insights into pyrrolysine function from structures of a trimethylamine methyltransferase and its corrinoid protein complex. Communications Biology. 6(1). 54–54. 7 indexed citations

Chan, Ho Yin Edwin, et al.. (2021). A SUMO1-Derived Peptide Targeting SUMO-Interacting Motif Inhibits α-Synuclein Aggregation. Cell chemical biology. 28(2). 180–190.e6. 24 indexed citations

Lee, Marianne M., et al.. (2018). Direct production of a genetically-encoded immobilized biodiesel catalyst. Scientific Reports. 8(1). 12783–12783. 35 indexed citations

Dolin, Cara D., Michael K. Chan, Ross S. Basch, & Bruce K. Young. (2018). Human term amniotic fluid: a novel source of stem cells for regenerative medicine. American Journal of Obstetrics and Gynecology. 219(3). 308–309. 7 indexed citations

Dementiev, Alexey, Anand Sitaram, Timothy Hey, et al.. (2016). The pesticidal Cry6Aa toxin from Bacillus thuringiensis is structurally similar to HlyE-family alpha pore-forming toxins. BMC Biology. 14(1). 71–71. 33 indexed citations

Lee, Marianne M., Tomasz Fekner, Jia Lu, et al.. (2014). Pyrrolysine‐Inspired Protein Cyclization. ChemBioChem. 15(12). 1769–1772. 4 indexed citations

Chan, Michael K. & Lan Yang. (2011). Comparative analysis of OpenMP and MPI on multi-core architecture. Annual Simulation Symposium. 18–25. 3 indexed citations

Fekner, Tomasz, Xin Li, & Michael K. Chan. (2010). Nonenzymatic Ubiquitylation. ChemBioChem. 12(1). 21–33. 24 indexed citations

10.

Li, Xin, Tomasz Fekner, & Michael K. Chan. (2010). N⁶‐(2‐(R)‐Propargylglycyl)lysine as a Clickable Pyrrolysine Mimic. Chemistry - An Asian Journal. 5(8). 1765–1769. 21 indexed citations

11.

Chan, Michael K., et al.. (2009). SIB-BLAST: a web server for improved delineation of true and false positives in PSI-BLAST searches. Nucleic Acids Research. 37(Web Server). W53–W56. 10 indexed citations

12.

Li, Xin, Tomasz Fekner, Jennifer J. Ottesen, & Michael K. Chan. (2009). A Pyrrolysine Analogue for Site‐Specific Protein Ubiquitination. Angewandte Chemie International Edition. 48(48). 9184–9187. 129 indexed citations

13.

Gong, Weimin, Bing Hao, Zhiyi Wei, et al.. (2008). Structure of the α ₂ ε ₂ Ni-dependent CO dehydrogenase component of the Methanosarcina barkeri acetyl-CoA decarbonylase/synthase complex. Proceedings of the National Academy of Sciences. 105(28). 9558–9563. 101 indexed citations

14.

Meng, Guoliang, Shiying Liu, Roman Krawetz, et al.. (2008). A Novel Method for Generating Xeno-Free Human Feeder Cells for Human Embryonic Stem Cell Culture. Stem Cells and Development. 17(3). 413–422. 38 indexed citations

15.

Lee, Marianne M., et al.. (2008). Structure of Desulfitobacterium hafniense PylSc, a pyrrolysyl-tRNA synthetase. Biochemical and Biophysical Research Communications. 374(3). 470–474. 23 indexed citations

16.

Ocampo‐Hafalla, Maria, Alvin Altamirano, Ashis K. Basu, et al.. (2006). Repair of thymine glycol by hNth1 and hNeil1 is modulated by base pairing and cis–trans epimerization. DNA repair. 5(4). 444–454. 33 indexed citations

17.

Larue, Ross C., Anirban Mahapatra, Edward S. Chang, et al.. (2004). Direct charging of tRNACUA with pyrrolysine in vitro and in vivo. Nature. 431(7006). 333–335. 209 indexed citations

18.

Jain, Rinku & Michael K. Chan. (2003). Mechanisms of ligand discrimination by heme proteins. JBIC Journal of Biological Inorganic Chemistry. 8(1). 1–11. 89 indexed citations

19.

Hao, Bing, et al.. (2002). A New UAG-Encoded Residue in the Structure of a Methanogen Methyltransferase. Science. 296(5572). 1462–1466. 316 indexed citations

20.

Boorstein, Robert J., Michael K. Chan, Yuliang Ma, et al.. (2001). Definitive Identification of Mammalian 5-Hydroxymethyluracil DNA N-Glycosylase Activity as SMUG1. Journal of Biological Chemistry. 276(45). 41991–41997. 114 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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