Mark Sistrom
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Microbiology top 2%
- Microbial infections and disease research
Papers in
- Epidemiology 10
- Trypanosoma species research and implications 9
-
- Genomics and Phylogenetic Studies 6
- Co-authors
- Benjamin K. Chan (2 shared papers)Paul E. Turner (3 shared papers)John E. Wertz (1 shared paper)Kaitlyn E. Kortright (1 shared paper)Deepak Narayan (1 shared paper)Mark N. Hutchinson (6 shared papers)Stephen C. Donnellan (6 shared papers)Serap Aksoy (9 shared papers)
- Journals
- PLoS neglected tropical diseases (4 papers)PLoS ONE (3 papers)Zootaxa (3 papers)Bioinformatics (1 paper)mSystems (1 paper)
- Partner nations
- United StatesAustraliaUganda
In The Last Decade
Mark Sistrom
31 papers receiving 991 citations
Mark Sistrom's Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Medicine 172
- Microbiology 163
- Ecological Modeling 96
- Ecology 532
- Endocrinology 79
Countries citing papers authored by Mark Sistrom
This map shows the geographic impact of Mark Sistrom'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 Mark Sistrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sistrom more than expected).
Fields of papers citing papers by Mark Sistrom
This network shows the impact of papers produced by Mark Sistrom. 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 Mark Sistrom. The network helps show where Mark Sistrom may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Sistrom, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phage selection restores antibiotic sensitivity in MDR Pseudomonas aeruginosa Hit paper breakdown → | 2016 | 554 |
| 2 | 2019 | 38 | |
| 3 | 2013 | 35 | |
| 4 | 2009 | 30 | |
| 5 | 2012 | 30 | |
| 6 | 2014 | 30 | |
| 7 | 2012 | 24 | |
| 8 | 2015 | 24 | |
| 9 | 2012 | 23 | |
| 10 | 2018 | 23 | |
| 11 | 2012 | 22 | |
| 12 | 2012 | 21 | |
| 13 | 2016 | 18 | |
| 14 | 2013 | 17 | |
| 15 | 2014 | 14 | |
| 16 | 2009 | 12 | |
| 17 | 2016 | 12 | |
| 18 | 2010 | 11 | |
| 19 | 2015 | 11 | |
| 20 | 2015 | 10 |
About Mark Sistrom
Mark Sistrom is a scholar working on Epidemiology, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (9 papers), Amphibian and Reptile Biology (6 papers), Genomics and Phylogenetic Studies (6 papers), Insect symbiosis and bacterial influences (6 papers), Lepidoptera: Biology and Taxonomy (4 papers), Species Distribution and Climate Change (4 papers), Plant Virus Research Studies (4 papers) and Research on Leishmaniasis Studies (3 papers). The work is most often cited by research in Molecular Medicine (172 citations), Microbiology (163 citations), Ecological Modeling (96 citations), Ecology (532 citations) and Endocrinology (79 citations). Mark Sistrom has collaborated with scholars based in United States, Australia and Uganda. Frequent co-authors include Benjamin K. Chan, Paul E. Turner, John E. Wertz, Kaitlyn E. Kortright, Deepak Narayan, Mark N. Hutchinson, Stephen C. Donnellan, Serap Aksoy, Adalgisa Caccone and Oliver Balmer. Their work appears in journals such as PLoS neglected tropical diseases, PLoS ONE, Zootaxa, Bioinformatics and mSystems.
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.