Martin Wu

90 papers receiving 6.1k citations

Martin Wu's Hit Papers

Seasonal, spatial, and maternal effects on gut microbiome in wild red squirrels 2017 · 335 citations
3350+4+9Years since publication100200300400500

Peers

Martin Wu
Comparison fields: 5 of 150
  • Biological Psychiatry 180
  • Endocrinology 346
  • Ecology 1.5k
  • Molecular Biology 3.9k
  • Infectious Diseases 1.0k
Replace Doyle V. Ward with:
Doyle V. Ward United States
Olivier Jousson Italy
Amparo Latorre Spain
Huajun Zheng China
Sathish Subramanian United States
Hidehiro Toh Japan
Robert T. DeBoy United States
David S. Guttman Canada
Uri Gophna Israel
Bruce W. Birren United States
Martin Wu relative to Doyle V. Ward United States Doyle V. Ward's profile →
Citations per field
00.5×1.5×
Doyle V. Ward · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Martin Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Wu Line = papers co-authored together Martin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rapid Evolution of Enormous, Multichromosomal Genomes in Flowering Plant Mitochondria with Exceptionally High Mutation Rates
Hit paper breakdown →
2012505
2 2012365
3 2008364
4 2012353
5
Seasonal, spatial, and maternal effects on gut microbiome in wild red squirrels
Hit paper breakdown →
2017335
6 2006301
7 2017286
8 2005201
9 2012153
10 2003130
11 2015111
12 2013109
13 1989107
14 2012103
15 2004101
16 200594
17 200987
18 201386
19 200385
20 199282

About Martin Wu

Martin Wu is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Ecology and Genetics, having authored 92 papers that have together received 6.2k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (27 papers), Genomics and Phylogenetic Studies (25 papers), Gut microbiota and health (23 papers), Tuberculosis Research and Epidemiology (15 papers), Microbial Community Ecology and Physiology (14 papers), Quinazolinone synthesis and applications (9 papers), Clostridium difficile and Clostridium perfringens research (8 papers) and Bacteriophages and microbial interactions (8 papers). The work is most often cited by research in Biological Psychiatry (180 citations), Endocrinology (346 citations), Ecology (1.5k citations), Molecular Biology (3.9k citations) and Infectious Diseases (1.0k citations). Martin Wu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jonathan A. Eisen, Luiz E. Bermudez, Zhang Wang, Alexandra J. Scott, Daniel B. Sloan, Douglas Taylor, Tiantian Ren, Lawrence S. Young, Andrew J. Alverson and Jeffrey D. Palmer. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases, PLoS ONE, Scientific Reports and The ISME Journal.

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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