Cammy K.-M. Chen

799 total citations
9 papers, 640 citations indexed

About

Cammy K.-M. Chen is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Cammy K.-M. Chen has authored 9 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Organic Chemistry. Recurrent topics in Cammy K.-M. Chen's work include RNA and protein synthesis mechanisms (3 papers), Bacteriophages and microbial interactions (2 papers) and Bacterial biofilms and quorum sensing (2 papers). Cammy K.-M. Chen is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Bacteriophages and microbial interactions (2 papers) and Bacterial biofilms and quorum sensing (2 papers). Cammy K.-M. Chen collaborates with scholars based in Taiwan and United States. Cammy K.-M. Chen's co-authors include Yu‐Ming Chang, Ming‐Hon Hou, Nei‐Li Chan, Andrew H.‐J. Wang, Tzu‐Ping Ko, W.Y. Jeng, Rey‐Ting Guo, Eric Oldfield, Rong Cao and Yu-Ming Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Cammy K.-M. Chen

9 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cammy K.-M. Chen Taiwan 8 473 125 96 89 69 9 640
Zeru Tian United States 13 564 1.2× 109 0.9× 122 1.3× 138 1.6× 46 0.7× 19 913
Л. Д. Румш Russia 14 480 1.0× 193 1.5× 89 0.9× 93 1.0× 47 0.7× 68 800
Christopher T. Walsh United States 13 575 1.2× 95 0.8× 73 0.8× 61 0.7× 67 1.0× 14 726
Rahul Saxena United States 12 317 0.7× 104 0.8× 48 0.5× 68 0.8× 71 1.0× 27 577
Mark Mabanglo Canada 13 399 0.8× 81 0.6× 49 0.5× 71 0.8× 59 0.9× 19 558
Francesca Vasile Italy 16 542 1.1× 65 0.5× 166 1.7× 64 0.7× 34 0.5× 62 799
K.P. Bzymek United States 12 322 0.7× 139 1.1× 41 0.4× 59 0.7× 43 0.6× 23 480
Tereza Skálová Czechia 16 424 0.9× 50 0.4× 81 0.8× 116 1.3× 45 0.7× 43 787
Yu Wai Chen United Kingdom 15 488 1.0× 59 0.5× 41 0.4× 167 1.9× 56 0.8× 48 705
Julia Gallego‐Jara Spain 11 375 0.8× 117 0.9× 38 0.4× 62 0.7× 62 0.9× 17 602

Countries citing papers authored by Cammy K.-M. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Cammy K.-M. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cammy K.-M. Chen. 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 Cammy K.-M. Chen. The network helps show where Cammy K.-M. Chen may publish in the future.

Co-authorship network of co-authors of Cammy K.-M. Chen

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

All Works

9 of 9 papers shown
1.
Chang, Yu‐Ming, et al.. (2014). TcaR–ssDNA complex crystal structure reveals new DNA binding mechanism of the MarR family proteins. Nucleic Acids Research. 42(8). 5314–5321. 8 indexed citations
2.
Chang, Yu-Ming, et al.. (2013). Structural analysis of the antibiotic-recognition mechanism of MarR proteins. Acta Crystallographica Section D Biological Crystallography. 69(6). 1138–1149. 20 indexed citations
3.
Chang, Yu‐Ming, Cammy K.-M. Chen, & Ming‐Hon Hou. (2012). Conformational Changes in DNA upon Ligand Binding Monitored by Circular Dichroism. International Journal of Molecular Sciences. 13(3). 3394–3413. 173 indexed citations
4.
Chang, Yu-Ming, Cammy K.-M. Chen, Yuan‐Chih Chang, et al.. (2012). Functional Studies of ssDNA Binding Ability of MarR Family Protein TcaR from Staphylococcus epidermidis. PLoS ONE. 7(9). e45665–e45665. 7 indexed citations
5.
Chen, Cammy K.-M., et al.. (2011). The many blades of the β-propeller proteins: conserved but versatile. Trends in Biochemical Sciences. 36(10). 553–561. 143 indexed citations
6.
Chang, Yu-Ming, et al.. (2010). Structural study of TcaR and its complexes with multiple antibiotics from Staphylococcus epidermidis. Proceedings of the National Academy of Sciences. 107(19). 8617–8622. 70 indexed citations
7.
Chen, Cammy K.-M., Guan-Chiun Lee, Tzu‐Ping Ko, et al.. (2009). Structure of the Alkalohyperthermophilic Archaeoglobus fulgidus Lipase Contains a Unique C-Terminal Domain Essential for Long-Chain Substrate Binding. Journal of Molecular Biology. 390(4). 672–685. 31 indexed citations
8.
Cao, Rong, et al.. (2008). Structures of a potent phenylalkyl bisphosphonate inhibitor bound to farnesyl and geranylgeranyl diphosphate synthases. Proteins Structure Function and Bioinformatics. 73(2). 431–439. 36 indexed citations
9.
Guo, Rey‐Ting, Rong Cao, Po‐Huang Liang, et al.. (2007). Bisphosphonates target multiple sites in both cis - and trans -prenyltransferases. Proceedings of the National Academy of Sciences. 104(24). 10022–10027. 152 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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