Mark S. Strom

2.6k total citations
32 papers, 2.0k citations indexed

About

Mark S. Strom is a scholar working on Endocrinology, Molecular Biology and Immunology. According to data from OpenAlex, Mark S. Strom has authored 32 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, 12 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Mark S. Strom's work include Vibrio bacteria research studies (16 papers), Aquaculture disease management and microbiota (12 papers) and Salmonella and Campylobacter epidemiology (4 papers). Mark S. Strom is often cited by papers focused on Vibrio bacteria research studies (16 papers), Aquaculture disease management and microbiota (12 papers) and Salmonella and Campylobacter epidemiology (4 papers). Mark S. Strom collaborates with scholars based in United States, Australia and Portugal. Mark S. Strom's co-authors include Rohinee N. Paranjpye, William B. Nilsson, Stephen Lory, Angelo DePaola, María Leonor Nunes, António Marques, Stephanie K. Moore, Jeffrey W. Turner, Melvin W. Eklund and Linda Amaral‐Zettler and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Mark S. Strom

31 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark S. Strom United States 21 1.3k 897 588 425 291 32 2.0k
Anita C. Wright United States 29 1.3k 1.1× 860 1.0× 564 1.0× 617 1.5× 351 1.2× 52 2.2k
A. Huq United States 23 1.6k 1.3× 779 0.9× 527 0.9× 397 0.9× 505 1.7× 35 2.2k
P R Brayton United States 27 913 0.7× 740 0.8× 658 1.1× 252 0.6× 509 1.7× 41 2.7k
Irma Nelly Gutierrez Rivera Brazil 20 905 0.7× 526 0.6× 354 0.6× 316 0.7× 230 0.8× 36 1.5k
Hank Lockman United States 21 1.2k 0.9× 709 0.8× 451 0.8× 455 1.1× 286 1.0× 32 1.8k
Jorge A. Benítez United States 27 1.2k 1.0× 557 0.6× 777 1.3× 209 0.5× 234 0.8× 57 1.8k
F.L. Singleton United States 17 839 0.7× 423 0.5× 512 0.9× 218 0.5× 482 1.7× 29 2.0k
David W. Cook United States 19 1.3k 1.0× 1.0k 1.1× 283 0.5× 618 1.5× 184 0.6× 34 1.7k
D. B. Roszak United States 4 852 0.7× 290 0.3× 698 1.2× 333 0.8× 774 2.7× 6 2.4k
N C Roberts United States 9 795 0.6× 366 0.4× 329 0.6× 262 0.6× 282 1.0× 11 1.3k

Countries citing papers authored by Mark S. Strom

Since Specialization
Citations

This map shows the geographic impact of Mark S. Strom'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 S. Strom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Strom more than expected).

Fields of papers citing papers by Mark S. Strom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Strom. 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 S. Strom. The network helps show where Mark S. Strom may publish in the future.

Co-authorship network of co-authors of Mark S. Strom

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Strom. A scholar is included among the top collaborators of Mark S. Strom based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark S. Strom. Mark S. Strom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Turner, Jeffrey W., Lee J. Pinnell, William B. Nilsson, et al.. (2018). Comparative Genomic Analysis of Vibrio diabolicus and Six Taxonomic Synonyms: A First Look at the Distribution and Diversity of the Expanded Species. Frontiers in Microbiology. 9. 1893–1893. 35 indexed citations
2.
Turner, Jeffrey W., Chris Berthiaume, Rhonda Morales, E. Virginia Armbrust, & Mark S. Strom. (2016). Genomic evidence of adaptive evolution in emergent Vibrio parahaemolyticus ecotypes. Elementa Science of the Anthropocene. 4. 5 indexed citations
3.
Paranjpye, Rohinee N., William B. Nilsson, Martin Liermann, et al.. (2015). Environmental influences on the seasonal distribution ofVibrio parahaemolyticusin the Pacific Northwest of the USA. FEMS Microbiology Ecology. 91(12). fiv121–fiv121. 44 indexed citations
4.
Turner, Jeffrey W., et al.. (2013). Population Structure of Clinical and Environmental Vibrio parahaemolyticus from the Pacific Northwest Coast of the United States. PLoS ONE. 8(2). e55726–e55726. 90 indexed citations
5.
Xu, Jiajie, Jeffrey W. Turner, Matthew N. Idso, et al.. (2013). In Situ Strain-Level Detection and Identification of Vibrio parahaemolyticus Using Surface-Enhanced Raman Spectroscopy. Analytical Chemistry. 85(5). 2630–2637. 38 indexed citations
6.
Song, Kit M., et al.. (2009). The Use of Polymerase Chain Reaction for the Detection and Speciation of Bacterial Bone and Joint Infection in Children. Journal of Pediatric Orthopaedics. 29(2). 182–188. 9 indexed citations
7.
Wiens, Gregory D., Daniel D. Rockey, Zaining Wu, et al.. (2008). Genome Sequence of the Fish Pathogen Renibacterium salmoninarum Suggests Reductive Evolution away from an Environmental Arthrobacter Ancestor. Journal of Bacteriology. 190(21). 6970–6982. 38 indexed citations
8.
Stewart, Jill R., Rebecca J. Gast, Roger S. Fujioka, et al.. (2008). The coastal environment and human health: microbial indicators, pathogens, sentinels and reservoirs. Environmental Health. 7(Suppl 2). S3–S3. 215 indexed citations
9.
Vickery, Michael C.L., William B. Nilsson, Mark S. Strom, Jessica L. Nordstrom, & Angelo DePaola. (2006). A real-time PCR assay for the rapid determination of 16S rRNA genotype in Vibrio vulnificus. Journal of Microbiological Methods. 68(2). 376–384. 58 indexed citations
10.
Rhodes, Linda D., et al.. (2003). Efficacy of cellular vaccines and genetic adjuvants against bacterial kidney disease in chinook salmon (Oncorhynchus tshawytscha). Fish & Shellfish Immunology. 16(4). 461–474. 29 indexed citations
11.
Waknitz, F. William, Robert N. Iwamoto, & Mark S. Strom. (2003). Interactions of Atlantic salmon in the Pacific Northwest. Fisheries Research. 62(3). 307–328. 9 indexed citations
12.
13.
Strom, Mark S. & Rohinee N. Paranjpye. (2000). Epidemiology and pathogenesis of. Microbes and Infection. 2(2). 177–188. 373 indexed citations
14.
Kirov, Sylvia M., et al.. (2000). Investigation of the Role of Type IV Aeromonas Pilus (Tap) in the Pathogenesis of Aeromonas Gastrointestinal Infection. Infection and Immunity. 68(7). 4040–4048. 39 indexed citations
15.
Flagg, Thomas A., Barry A. Berejikian, John Colt, et al.. (2000). Ecological and behavioral impacts of artificial production strategies on the abundance of wild salmon populations : a review of practices in the Pacific Northwest. 11 indexed citations
16.
17.
Lory, Stephen & Mark S. Strom. (1997). Structure-function relationship of type-IV prepilin peptidase of Pseudomonas aeruginosa – a review. Gene. 192(1). 117–121. 70 indexed citations
18.
19.
Strom, Mark S., D. Nunn, & Stephen Lory. (1994). [42] Posttranslational processing of type IV prepilin and homologs by PilD of Pseudomonas aeruginosa. Methods in enzymology on CD-ROM/Methods in enzymology. 235. 527–540. 46 indexed citations
20.
Evans, C. A., et al.. (1984). The Bacterial Flora of the Forehead and Back of Alaskan Native Villagers in Summer and in Winter. Journal of Investigative Dermatology. 82(3). 294–297. 7 indexed citations

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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