Mitchell J. Sullivan
Impact in
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.5%
Papers in
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- Antimicrobial Resistance in Staphylococcus 9
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- Bacterial biofilms and quorum sensing 4
- Genomics and Phylogenetic Studies 3
- Co-authors
- Scott A. Beatson (4 shared papers)Nicola K. Petty (1 shared paper)Harm van Bakel (15 shared papers)Robert Sebra (7 shared papers)Gintaras Deikus (3 shared papers)Hardik Shah (1 shared paper)Navdeep Gill (1 shared paper)Timothy R. Hughes (1 shared paper)
- Journals
- Open Forum Infectious Diseases (3 papers)Journal of Animal Science (2 papers)Infection and Immunity (2 papers)Bioinformatics (2 papers)G3 Genes Genomes Genetics (2 papers)
- Partner nations
- United StatesAustraliaEstonia
In The Last Decade
Mitchell J. Sullivan
28 papers receiving 3.4k citations
Mitchell J. Sullivan's Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Medicine 971
- Endocrinology 589
- Microbiology 412
- Ecology 1.4k
- Infectious Diseases 600
Countries citing papers authored by Mitchell J. Sullivan
This map shows the geographic impact of Mitchell J. Sullivan'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 Mitchell J. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell J. Sullivan more than expected).
Fields of papers citing papers by Mitchell J. Sullivan
This network shows the impact of papers produced by Mitchell J. Sullivan. 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 Mitchell J. Sullivan. The network helps show where Mitchell J. Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell J. Sullivan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Easyfig: a genome comparison visualizer Hit paper breakdown → | 2011 | 2776 |
| 2 | 2018 | 165 | |
| 3 | 2013 | 80 | |
| 4 | 2019 | 55 | |
| 5 | 2018 | 48 | |
| 6 | 2015 | 37 | |
| 7 | 2010 | 36 | |
| 8 | 2009 | 30 | |
| 9 | 2023 | 22 | |
| 10 | 2017 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2023 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2012 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2021 | 4 |
About Mitchell J. Sullivan
Mitchell J. Sullivan is a scholar working on Infectious Diseases, Molecular Biology, Ecology, Clinical Biochemistry and Animal Science and Zoology, having authored 28 papers that have together received 3.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Effects of Environmental Stressors on Livestock (3 papers), Genomics and Phylogenetic Studies (3 papers), Bacteriophages and microbial interactions (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Molecular Medicine (971 citations), Endocrinology (589 citations), Microbiology (412 citations), Ecology (1.4k citations) and Infectious Diseases (600 citations). Mitchell J. Sullivan has collaborated with scholars based in United States, Australia and Estonia. Frequent co-authors include Scott A. Beatson, Nicola K. Petty, Harm van Bakel, Robert Sebra, Gintaras Deikus, Hardik Shah, Navdeep Gill, Timothy R. Hughes, Jake Stout and Larry A. Holbrook. Their work appears in journals such as Open Forum Infectious Diseases, Journal of Animal Science, Infection and Immunity, Bioinformatics and G3 Genes Genomes Genetics.
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.