John C. Mu

803 total citations
12 papers, 366 citations indexed

About

John C. Mu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, John C. Mu has authored 12 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in John C. Mu's work include Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (4 papers) and Cancer Genomics and Diagnostics (4 papers). John C. Mu is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (4 papers) and Cancer Genomics and Diagnostics (4 papers). John C. Mu collaborates with scholars based in United States, Australia and China. John C. Mu's co-authors include Narges Bani Asadi, Marghoob Mohiyuddin, Wing Hung Wong, Susan L. Ackerman, Yichang Jia, Hugo Y. K. Lam, Mark Gerstein, Alexej Abyzov, Jian Li and Amirhossein Kiani and has published in prestigious journals such as Cell, Bioinformatics and Cancer Research.

In The Last Decade

John C. Mu

11 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John C. Mu United States	7	290	150	108	47	31	12	366
Andrew R. Jackson United States	8	285 1.0×	147 1.0×	100 0.9×	38 0.8×	16 0.5×	9	375
Dimitrios Vitsios United Kingdom	11	405 1.4×	75 0.5×	171 1.6×	61 1.3×	15 0.5×	25	532
Zachary Zappala United States	6	266 0.9×	244 1.6×	73 0.7×	28 0.6×	9 0.3×	6	420
Zhiming Dai China	14	508 1.8×	64 0.4×	73 0.7×	69 1.5×	28 0.9×	49	609
Mehrdad Bakhtiari United States	5	210 0.7×	108 0.7×	138 1.3×	26 0.6×	7 0.2×	7	322
Deniz Kural United States	6	276 1.0×	109 0.7×	46 0.4×	178 3.8×	12 0.4×	9	352
Timothy Gilpatrick United States	6	424 1.5×	73 0.5×	67 0.6×	75 1.6×	7 0.2×	7	474
Marta Bleda Spain	9	189 0.7×	79 0.5×	41 0.4×	17 0.4×	12 0.4×	14	280
Eirikur Hjartarson Iceland	3	159 0.5×	156 1.0×	29 0.3×	42 0.9×	9 0.3×	3	286
Philip Cayting United States	8	495 1.7×	245 1.6×	138 1.3×	154 3.3×	22 0.7×	8	603

Countries citing papers authored by John C. Mu

Since Specialization

Citations

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

Fields of papers citing papers by John C. Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John C. Mu

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

All Works

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12 of 12 papers shown

Li, Jian, et al.. (2021). Abstract 169: Ephesus - A curated content knowledgebase for the clinical interpretation of genomic variants. Cancer Research. 81(13_Supplement). 169–169. 1 indexed citations

Xing, Bin & John C. Mu. (2021). A method for wind turbine clutter recognition and mitigation. IET conference proceedings.. 2020(9). 975–979. 2 indexed citations

Lau, Bayo, Marghoob Mohiyuddin, John C. Mu, et al.. (2016). LongISLND: in silico sequencing of lengthy and noisy datatypes. Bioinformatics. 32(24). 3829–3832. 14 indexed citations

Fang, Li Tai, Pegah Tootoonchi Afshar, Aparna Chhibber, et al.. (2015). An ensemble approach to accurately detect somatic mutations using SomaticSeq. Genome biology. 16(1). 197–197. 67 indexed citations

Mu, John C., Pegah Tootoonchi Afshar, Marghoob Mohiyuddin, et al.. (2015). Leveraging long read sequencing from a single individual to provide a comprehensive resource for benchmarking variant calling methods. Scientific Reports. 5(1). 14493–14493. 7 indexed citations

Jiang, Hui, et al.. (2015). Computational Aspects of Optional Pólya Tree. Journal of Computational and Graphical Statistics. 25(1). 301–320. 4 indexed citations

Mohiyuddin, Marghoob, John C. Mu, Jian Li, et al.. (2015). MetaSV: an accurate and integrative structural-variant caller for next generation sequencing. Bioinformatics. 31(16). 2741–2744. 95 indexed citations

Mu, John C., Marghoob Mohiyuddin, Jian Li, et al.. (2014). VarSim: a high-fidelity simulation and validation framework for high-throughput genome sequencing with cancer applications. Bioinformatics. 31(9). 1469–1471. 50 indexed citations

Mu, John C., et al.. (2014). Exploring the physiologic role of human gastroesophageal reflux by analyzing time-series data from 24-h gastric and esophageal pH recordings. Physiological Reports. 2(7). e12051–e12051. 2 indexed citations

10.

Jia, Yichang, John C. Mu, & Susan L. Ackerman. (2012). Mutation of a U2 snRNA Gene Causes Global Disruption of Alternative Splicing and Neurodegeneration. Cell. 148(1-2). 296–308. 82 indexed citations

11.

Mu, John C., Hui Jiang, Amirhossein Kiani, et al.. (2012). Fast and accurate read alignment for resequencing. Bioinformatics. 28(18). 2366–2373. 39 indexed citations

12.

Xie, Yixuan, John C. Mu, & Jinhong Yuan. (2010). Design of rate-compatible protograph-based LDPC codes with mixed circulants. 2. 434–438. 3 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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