Mark Sistrom

31 papers receiving 963 citations

Mark Sistrom's Hit Papers

Phage selection restores antibiotic sensitivity in MDR Pseudomonas aeruginosa 2016 · 530 citations
5300+3+6Years since publication100200300400500

Peers

Mark Sistrom
Comparison fields: 5 of 82
  • Molecular Medicine 168
  • Microbiology 158
  • Ecological Modeling 94
  • Ecology 508
  • Endocrinology 77
Replace Trevor C. Bruen with:
Trevor C. Bruen United States
F. Vercammen Belgium
Audrey Arnal France
Marco V. Bernasconi Switzerland
Francisco Petrucci‐Fonseca Portugal
Crystal M. Hepp United States
Sharon K. Taylor United States
François Renaud France
Danielle Walker United Kingdom
John J. Dennehy United States
Mark Sistrom relative to Trevor C. Bruen United States Trevor C. Bruen's profile →
Citations per field
00.5×3.9×
Trevor C. Bruen · 1×
Citations per year

Countries citing papers authored by Mark Sistrom

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

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 →
2016530
2 201938
3 201335
4 201230
5 200929
6 201428
7 201224
8 201223
9 201523
10 201822
11 201221
12 201221
13 201317
14 201617
15 201414
16 200912
17 201611
18 201011
19 201511
20 201510

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 975 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 (168 citations), Microbiology (158 citations), Ecological Modeling (94 citations), Ecology (508 citations) and Endocrinology (77 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, Deepak Narayan, Kaitlyn E. Kortright, Mark N. Hutchinson, Stephen C. Donnellan, Serap Aksoy, Adalgisa Caccone and Stephen J. Richards. Their work appears in journals such as PLoS neglected tropical diseases, PLoS ONE, Zootaxa, BioMed Research International and Journal of Evolutionary Biology.

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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