Bob Mau
Impact in
- Endocrinology top 0.1%
- Escherichia coli research studies
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 4
-
- Evolution and Paleontology Studies 3
- Co-authors
- Nicole T. PernaAaron E. DarlingFrederick R. BlattnerJeremy D. GlasnerGuy PlunkettValerie BurlandGeorge F. MayhewChristopher K. Rode
- Journals
- Infection and Immunity (2 papers)Bioinformatics (2 papers)Breast Cancer Research (2 papers)Journal of Computational and Graphical Statistics (2 papers)Genome Research (2 papers)
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Bob Mau
20 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Endocrinology 2.1k
- Molecular Medicine 1.1k
- Genetics 4.0k
- Ecology 3.5k
- Molecular Biology 9.2k
Countries citing papers authored by Bob Mau
This map shows the geographic impact of Bob Mau'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 Bob Mau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bob Mau more than expected).
Fields of papers citing papers by Bob Mau
This network shows the impact of papers produced by Bob Mau. 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 Bob Mau. The network helps show where Bob Mau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bob Mau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 11 | |
| 2 | 2016 | 5 | |
| 3 | 2011 | 21 | |
| 4 | progressiveMauve: Multiple Genome Alignment with Gene Gain, Loss and Rearrangement Hit paper breakdown → | 2010 | 2979 |
| 5 | 2009 | 451 | |
| 6 | 2008 | 287 | |
| 7 | 2008 | 14 | |
| 8 | 2007 | 48 | |
| 9 | 2006 | 56 | |
| 10 | 2006 | 12 | |
| 11 | 2004 | 2 | |
| 12 | Mauve: Multiple Alignment of Conserved Genomic Sequence With Rearrangements Hit paper breakdown → | 2004 | 3643 |
| 13 | 2003 | 25 | |
| 14 | 2003 | 9 | |
| 15 | 2003 | 318 | |
| 16 | 2001 | 64 | |
| 17 | 1999 | 390 | |
| 18 | 1997 | 31 | |
| 19 | The Complete Genome Sequence of Escherichia coli K-12 Hit paper breakdown → | 1997 | 5909 |
| 20 | 1997 | 138 |
About Bob Mau
Bob Mau is a scholar working on Endocrinology, Paleontology, Genetics, Molecular Biology and Ecology, having authored 20 papers that have together received 14.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (5 papers), Chromosomal and Genetic Variations (4 papers), Escherichia coli research studies (4 papers), Bacterial Genetics and Biotechnology (3 papers), Evolution and Paleontology Studies (3 papers), RNA and protein synthesis mechanisms (3 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Endocrinology (2.1k citations), Molecular Medicine (1.1k citations), Genetics (4.0k citations), Ecology (3.5k citations) and Molecular Biology (9.2k citations). Bob Mau has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Nicole T. Perna, Aaron E. Darling, Frederick R. Blattner, Jeremy D. Glasner, Guy Plunkett, Valerie Burland, George F. Mayhew, Christopher K. Rode, Craig A. Bloch and Debra J. Rose. Their work appears in journals such as Infection and Immunity, Bioinformatics, Breast Cancer Research, Journal of Computational and Graphical Statistics and Genome Research.
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.