Ken Chu

21.0k total citations · 7 hit papers
21 papers, 3.5k citations indexed

About

Ken Chu is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Ken Chu has authored 21 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Ecology and 5 papers in Plant Science. Recurrent topics in Ken Chu's work include Genomics and Phylogenetic Studies (19 papers), Microbial Community Ecology and Physiology (9 papers) and Bacteriophages and microbial interactions (8 papers). Ken Chu is often cited by papers focused on Genomics and Phylogenetic Studies (19 papers), Microbial Community Ecology and Physiology (9 papers) and Bacteriophages and microbial interactions (8 papers). Ken Chu collaborates with scholars based in United States and Spain. Ken Chu's co-authors include Natalia Ivanova, Nikos C. Kyrpides, I-Min A. Chen, Victor Markowitz, Krishna Palaniappan, Anna Ratner, Konstantinos Mavromatis, Jinghua Huang, Marcel Huntemann and Neha Varghese and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Ken Chu

21 papers receiving 3.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

IMG/M v.5.0: an integrated data management and comparative analysis system for microbial genomes and microbiomes

2018 583 citations I-Min A. Chen, Ken Chu et al. Nucleic Acids Research profile →
IMG ER: a system for microbial genome annotation expert review and curation

2009 546 citations Victor Markowitz, Konstantinos Mavromatis et al. Bioinformatics profile →
IMG 4 version of the integrated microbial genomes comparative analysis system

2013 431 citations Victor Markowitz, I-Min A. Chen et al. Nucleic Acids Research profile →
IMG/M: integrated genome and metagenome comparative data analysis system

2016 331 citations I-Min A. Chen, Victor Markowitz et al. Nucleic Acids Research profile →
The IMG/M data management and analysis system v.6.0: new tools and advanced capabilities

2020 287 citations I-Min A. Chen, Ken Chu et al. Nucleic Acids Research profile →
IMG/VR v3: an integrated ecological and evolutionary framework for interrogating genomes of uncultivated viruses

2020 221 citations Simon Roux, David Páez-Espino et al. Nucleic Acids Research profile →
IMG/VR v4: an expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata

2022 199 citations Antônio Pedro Camargo, Stephen Nayfach et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ken Chu United States	17	2.5k	1.8k	596	265	243	21	3.5k
Jinghua Huang China	15	2.2k 0.9×	1.3k 0.7×	406 0.7×	209 0.8×	260 1.1×	38	3.3k
I-Min A. Chen United States	24	3.1k 1.2×	2.2k 1.2×	730 1.2×	261 1.0×	332 1.4×	36	4.4k
Anna Ratner United States	14	2.0k 0.8×	1.4k 0.8×	441 0.7×	240 0.9×	191 0.8×	14	2.9k
Neha Varghese United States	17	2.3k 0.9×	1.3k 0.7×	602 1.0×	141 0.5×	258 1.1×	42	3.3k
Boyke Bunk Germany	37	2.2k 0.9×	1.4k 0.8×	621 1.0×	222 0.8×	138 0.6×	195	4.0k
Krishna Palaniappan United States	23	3.5k 1.4×	2.4k 1.4×	768 1.3×	306 1.2×	425 1.7×	48	5.1k
Tae-Kwang Oh South Korea	36	2.8k 1.1×	1.4k 0.8×	547 0.9×	210 0.8×	113 0.5×	108	3.7k
Amrita Pati United States	24	2.9k 1.2×	1.8k 1.0×	867 1.5×	631 2.4×	343 1.4×	99	4.4k
Hiroaki Kasai Japan	35	2.4k 1.0×	1.5k 0.8×	685 1.1×	441 1.7×	137 0.6×	119	4.1k
Yu‐Guang Zhou China	33	2.2k 0.9×	1.6k 0.9×	722 1.2×	552 2.1×	158 0.7×	172	3.4k

Countries citing papers authored by Ken Chu

Since Specialization

Citations

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

Fields of papers citing papers by Ken Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Chu. 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 Ken Chu. The network helps show where Ken Chu may publish in the future.

Co-authorship network of co-authors of Ken Chu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Camargo, Antônio Pedro, Stephen Nayfach, I-Min A. Chen, et al.. (2022). IMG/VR v4: an expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata. Nucleic Acids Research. 51(D1). D733–D743. 199 indexed citations breakdown →

Chen, I-Min A., Ken Chu, Krishna Palaniappan, et al.. (2020). The IMG/M data management and analysis system v.6.0: new tools and advanced capabilities. Nucleic Acids Research. 49(D1). D751–D763. 287 indexed citations breakdown →

Palaniappan, Krishna, I-Min A. Chen, Ken Chu, et al.. (2019). IMG-ABC v.5.0: an update to the IMG/Atlas of Biosynthetic Gene Clusters Knowledgebase. Nucleic Acids Research. 48(D1). D422–D430. 78 indexed citations

Páez-Espino, David, Simon Roux, I-Min A. Chen, et al.. (2018). IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes. Nucleic Acids Research. 47(D1). D678–D686. 108 indexed citations

Chen, I-Min A., Ken Chu, Krishna Palaniappan, et al.. (2018). IMG/M v.5.0: an integrated data management and comparative analysis system for microbial genomes and microbiomes. Nucleic Acids Research. 47(D1). D666–D677. 583 indexed citations breakdown →

Chen, I-Min A., Victor Markowitz, Krishna Palaniappan, et al.. (2016). Supporting community annotation and user collaboration in the integrated microbial genomes (IMG) system. BMC Genomics. 17(1). 307–307. 39 indexed citations

Hadjithomas, Michalis, I-Min A. Chen, Ken Chu, et al.. (2016). IMG-ABC: new features for bacterial secondary metabolism analysis and targeted biosynthetic gene cluster discovery in thousands of microbial genomes. Nucleic Acids Research. 45(D1). D560–D565. 56 indexed citations

Chen, I-Min A., Victor Markowitz, Ken Chu, et al.. (2016). IMG/M: integrated genome and metagenome comparative data analysis system. Nucleic Acids Research. 45(D1). D507–D516. 331 indexed citations breakdown →

Wax, Adam & Ken Chu. (2016). Found in Translation: Biophotonics from Lab to Clinic. Optics and Photonics News. 27(9). 34–34. 1 indexed citations

10.

Hadjithomas, Michalis, Ken Chu, Anna Ratner, et al.. (2015). IMG-ABC: A Knowledge Base To Fuel Discovery of Biosynthetic Gene Clusters and Novel Secondary Metabolites. mBio. 6(4). e00932–e00932. 69 indexed citations

11.

Markowitz, Victor, I-Min A. Chen, Ken Chu, et al.. (2015). Ten Years of Maintaining and Expanding a Microbial Genome and Metagenome Analysis System. Trends in Microbiology. 23(11). 730–741. 15 indexed citations

12.

Chen, I-Min A., Victor Markowitz, Ernest Szeto, Krishna Palaniappan, & Ken Chu. (2014). Maintaining a microbial genome & metagenome data analysis system in an academic setting. 1–11. 5 indexed citations

13.

Markowitz, Victor, I-Min A. Chen, Krishna Palaniappan, et al.. (2013). IMG 4 version of the integrated microbial genomes comparative analysis system. Nucleic Acids Research. 42(D1). D560–D567. 431 indexed citations breakdown →

14.

Chen, I-Min A., Victor Markowitz, Ken Chu, et al.. (2013). Improving Microbial Genome Annotations in an Integrated Database Context. PLoS ONE. 8(2). e54859–e54859. 47 indexed citations

15.

Markowitz, Victor, I-Min A. Chen, Ken Chu, et al.. (2013). IMG/M 4 version of the integrated metagenome comparative analysis system. Nucleic Acids Research. 42(D1). D568–D573. 212 indexed citations

16.

Markowitz, Victor, I-Min A. Chen, Ken Chu, et al.. (2012). IMG/M-HMP: A Metagenome Comparative Analysis System for the Human Microbiome Project. PLoS ONE. 7(7). e40151–e40151. 32 indexed citations

17.

Wortman, Jennifer R., Michelle Giglio, Heather H. Creasy, et al.. (2010). A data analysis and coordination center for the human microbiome project. Genome Biology. 11(Suppl 1). O13–O13. 7 indexed citations

18.

Mavromatis, Konstantinos, Ken Chu, Natalia Ivanova, et al.. (2009). Gene Context Analysis in the Integrated Microbial Genomes (IMG) Data Management System. PLoS ONE. 4(11). e7979–e7979. 47 indexed citations

19.

Markowitz, Victor, I-Min A. Chen, Krishna Palaniappan, et al.. (2009). The integrated microbial genomes system: an expanding comparative analysis resource. Nucleic Acids Research. 38(suppl_1). D382–D390. 206 indexed citations

20.

Markowitz, Victor, Konstantinos Mavromatis, Natalia Ivanova, et al.. (2009). IMG ER: a system for microbial genome annotation expert review and curation. Bioinformatics. 25(17). 2271–2278. 546 indexed citations breakdown →

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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