Martin Wu

18.0k total citations · 2 hit papers
92 papers, 6.2k citations indexed

About

Martin Wu is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Martin Wu has authored 92 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 30 papers in Epidemiology and 24 papers in Infectious Diseases. Recurrent topics in Martin Wu's work include Mycobacterium research and diagnosis (27 papers), Genomics and Phylogenetic Studies (25 papers) and Gut microbiota and health (23 papers). Martin Wu is often cited by papers focused on Mycobacterium research and diagnosis (27 papers), Genomics and Phylogenetic Studies (25 papers) and Gut microbiota and health (23 papers). Martin Wu collaborates with scholars based in United States, Canada and China. Martin Wu's co-authors include Jonathan A. Eisen, Luiz E. Bermudez, Zhang Wang, Alexandra J. Scott, Douglas Taylor, Daniel B. Sloan, Tiantian Ren, Lawrence S. Young, Andrew J. Alverson and Jeffrey D. Palmer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Martin Wu

90 papers receiving 6.1k citations

Hit Papers

Rapid Evolution of Enormous, Multichromosomal Genomes in ... 2012 2026 2016 2021 2012 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Wu United States 43 3.9k 1.5k 1.1k 1.0k 727 92 6.2k
Sean M. Hemmingsen Canada 36 3.8k 1.0× 867 0.6× 592 0.6× 498 0.5× 812 1.1× 78 6.3k
Jennifer Lu United States 13 3.2k 0.8× 1.6k 1.1× 679 0.6× 736 0.7× 593 0.8× 26 6.0k
Olivier Jousson Italy 35 2.8k 0.7× 1.4k 0.9× 1.1k 1.0× 837 0.8× 453 0.6× 81 5.8k
Niall Gormley United Kingdom 22 3.7k 1.0× 2.4k 1.6× 486 0.5× 615 0.6× 1000 1.4× 36 8.3k
Sathish Subramanian United States 12 4.3k 1.1× 1.2k 0.8× 405 0.4× 1.1k 1.1× 884 1.2× 17 7.4k
James R. Brown United States 47 4.9k 1.3× 1.2k 0.8× 759 0.7× 742 0.7× 913 1.3× 166 8.5k
Thomas Sicheritz‐Pontén Denmark 38 5.2k 1.4× 2.1k 1.4× 716 0.7× 1.0k 1.0× 1.1k 1.5× 95 9.8k
Knut Rudi Norway 58 6.1k 1.6× 1.4k 0.9× 640 0.6× 1.5k 1.5× 602 0.8× 223 11.1k
Doyle V. Ward United States 36 5.8k 1.5× 1.3k 0.9× 1.1k 1.0× 1.6k 1.5× 642 0.9× 77 9.4k
Jason R. Grant Switzerland 26 4.4k 1.1× 2.2k 1.4× 524 0.5× 803 0.8× 1.5k 2.0× 89 8.8k

Countries citing papers authored by Martin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Martin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Wu

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

All Works

20 of 20 papers shown
1.
Petrullo, Lauren, Stan Boutin, Ben Dantzer, et al.. (2023). Consistent spatial patterns in microbial taxa of red squirrel gut microbiomes. Environmental Microbiology Reports. 16(1). e13209–e13209. 2 indexed citations
2.
Wu, Martin, et al.. (2022). Modeling Pulsed Evolution and Time-Independent Variation Improves the Confidence Level of Ancestral and Hidden State Predictions. Systematic Biology. 71(5). 1225–1232. 4 indexed citations
3.
Wang, Zhang, Yuqiong Yang, Zhengzheng Yan, et al.. (2020). Multi-omic meta-analysis identifies functional signatures of airway microbiome in chronic obstructive pulmonary disease. The ISME Journal. 14(11). 2748–2765. 52 indexed citations
4.
Grippo, Ryan M., Laura M. Sipe, Aarti M. Purohit, et al.. (2020). Dopamine Signaling in the Suprachiasmatic Nucleus Enables Weight Gain Associated with Hedonic Feeding. Current Biology. 30(2). 196–208.e8. 33 indexed citations
5.
Ren, Tiantian, Stan Boutin, Murray M. Humphries, et al.. (2017). Seasonal, spatial, and maternal effects on gut microbiome in wild red squirrels. Microbiome. 5(1). 163–163. 335 indexed citations breakdown →
6.
Ren, Tiantian & Martin Wu. (2016). PhyloCore: A phylogenetic approach to identifying core taxa in microbial communities. Gene. 593(2). 330–333. 13 indexed citations
7.
Wang, Zhang & Martin Wu. (2015). An integrated phylogenomic approach toward pinpointing the origin of mitochondria. Scientific Reports. 5(1). 7949–7949. 111 indexed citations
8.
Wang, Zhang & Martin Wu. (2013). A Phylum-Level Bacterial Phylogenetic Marker Database. Molecular Biology and Evolution. 30(6). 1258–1262. 77 indexed citations
9.
Sloan, Daniel B., Andrew J. Alverson, Martin Wu, Jeffrey D. Palmer, & Douglas Taylor. (2012). Recent Acceleration of Plastid Sequence and Structural Evolution Coincides with Extreme Mitochondrial Divergence in the Angiosperm Genus Silene. Genome Biology and Evolution. 4(3). 294–306. 103 indexed citations
11.
Wu, Dongying, Martin Wu, Aaron L. Halpern, et al.. (2011). Stalking the Fourth Domain in Metagenomic Data: Searching for, Discovering, and Interpreting Novel, Deep Branches in Marker Gene Phylogenetic Trees. PLoS ONE. 6(3). e18011–e18011. 67 indexed citations
12.
Wu, Dongying, Jason Raymond, Martin Wu, et al.. (2009). Complete Genome Sequence of the Aerobic CO-Oxidizing Thermophile Thermomicrobium roseum. PLoS ONE. 4(1). e4207–e4207. 87 indexed citations
13.
Wu, Martin, et al.. (2009). Visualization of ribosomal RNA operon copy number distribution. BMC Microbiology. 9(1). 208–208. 46 indexed citations
14.
Wu, Martin & Jonathan A. Eisen. (2008). A simple, fast, and accurate method of phylogenomic inference. Genome biology. 9(10). R151–R151. 364 indexed citations
15.
Kent, Michael L., Virginia Watral, Martin Wu, & Luiz E. Bermudez. (2006). In vivoandin vitrogrowth ofMycobacterium marinumat homoeothermic temperatures. FEMS Microbiology Letters. 257(1). 69–75. 17 indexed citations
16.
Yamazaki, Yoshitaka, Lia Danelishvili, Martin Wu, et al.. (2005). The ability to form biofilm influences Mycobacterium avium invasion and translocation of bronchial epithelial cells. Cellular Microbiology. 8(5). 806–814. 94 indexed citations
17.
Ermolaeva, Maria D., Martin Wu, Jonathan A. Eisen, & Steven L. Salzberg. (2003). The age of the Arabidopsis thaliana genome duplication. Plant Molecular Biology. 51(6). 859–866. 85 indexed citations
18.
Bermudez, Luiz E., Clark B. Inderlied, Peter Kolonoski, Martin Wu, & Lowell S. Young. (1998). Activity of HMR3004 against Mycobacterium avium complex in vitro, in human macrophages and in beige mice. Clinical Microbiology and Infection. 4(6). 325–331. 3 indexed citations
19.
Bermudez, Luiz E., Martin Wu, Lowell S. Young, & Clark B. Inderlied. (1992). Postantibiotic Effect of Amikacin and Rifapentine against Mycobacterium avium Complex. The Journal of Infectious Diseases. 166(4). 923–926. 15 indexed citations
20.

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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