John Martinson

994 total citations
20 papers, 719 citations indexed

About

John Martinson is a scholar working on Molecular Biology, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, John Martinson has authored 20 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Ecology and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in John Martinson's work include Environmental DNA in Biodiversity Studies (7 papers), Identification and Quantification in Food (4 papers) and Environmental Toxicology and Ecotoxicology (4 papers). John Martinson is often cited by papers focused on Environmental DNA in Biodiversity Studies (7 papers), Identification and Quantification in Food (4 papers) and Environmental Toxicology and Ecotoxicology (4 papers). John Martinson collaborates with scholars based in United States, Ghana and Japan. John Martinson's co-authors include Daniel B. Oerther, Jorge W. Santo Domingo, Shreya Ghosh, Regina Lamendella, Erik M. Pilgrim, Robert W. Flick, Mitch Kostich, Brenda K. Lasorsa, James D. Ford and Dixon H. Landers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

John Martinson

20 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Martinson United States 12 362 204 123 121 95 20 719
Carol Kreader United States 6 417 1.2× 245 1.2× 62 0.5× 81 0.7× 88 0.9× 10 990
Isabell Flade Germany 3 594 1.6× 540 2.6× 81 0.7× 34 0.3× 53 0.6× 5 1.3k
Kim Lee Ng Denmark 8 739 2.0× 580 2.8× 230 1.9× 61 0.5× 136 1.4× 12 1.6k
Edward J. DePeters United States 14 179 0.5× 114 0.6× 72 0.6× 49 0.4× 63 0.7× 28 703
Rewati Tappu Germany 6 683 1.9× 557 2.7× 82 0.7× 35 0.3× 40 0.4× 7 1.4k
G. Bradley United Kingdom 15 141 0.4× 61 0.3× 140 1.1× 108 0.9× 42 0.4× 22 1.4k
Ori Furman Israel 5 318 0.9× 174 0.9× 92 0.7× 49 0.4× 54 0.6× 6 659
Anand Patel India 12 523 1.4× 740 3.6× 102 0.8× 44 0.4× 49 0.5× 24 1.2k
Despoina S. Lymperopoulou United States 12 321 0.9× 354 1.7× 72 0.6× 185 1.5× 75 0.8× 16 937
Michael Collins United States 18 175 0.5× 169 0.8× 32 0.3× 38 0.3× 96 1.0× 42 791

Countries citing papers authored by John Martinson

Since Specialization
Citations

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

Fields of papers citing papers by John Martinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Martinson. 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 John Martinson. The network helps show where John Martinson may publish in the future.

Co-authorship network of co-authors of John Martinson

This figure shows the co-authorship network connecting the top 25 collaborators of John Martinson. A scholar is included among the top collaborators of John Martinson 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 John Martinson. John Martinson 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.
Flynn, Kevin, Michelle Le, Adam Biales, et al.. (2024). Comparing Transcriptomic Points of Departure to Apical Effect Concentrations For Larval Fathead Minnow Exposed to Chemicals with Four Different Modes Of Action. Archives of Environmental Contamination and Toxicology. 86(4). 346–362. 8 indexed citations
2.
Villeneuve, Daniel L., Michelle Le, Adam Biales, et al.. (2022). Pilot testing and optimization of a larval fathead minnow high throughput transcriptomics assay. Current Research in Toxicology. 4. 100099–100099. 16 indexed citations
3.
Pilgrim, Erik M., Nathan J. Smucker, Huiyun Wu, et al.. (2022). Developing Indicators of Nutrient Pollution in Streams Using 16S rRNA Gene Metabarcoding of Periphyton-Associated Bacteria. Water. 14(15). 2361–2361. 10 indexed citations
4.
Martinson, John, David C. Bencic, Gregory P. Toth, et al.. (2021). De Novo Assembly of the Nearly Complete Fathead Minnow Reference Genome Reveals a Repetitive but Compact Genome. Environmental Toxicology and Chemistry. 41(2). 448–461. 16 indexed citations
5.
Martinson, John, Robert W. Flick, Weichun Huang, et al.. (2021). DNA methylation and expression of estrogen receptor alpha in fathead minnows exposed to 17α-ethynylestradiol. Aquatic Toxicology. 233. 105788–105788. 5 indexed citations
6.
Toth, Gregory P., David C. Bencic, John Martinson, et al.. (2021). Development of omics biomarkers for estrogen exposure using mRNA, miRNA and piRNAs. Aquatic Toxicology. 235. 105807–105807. 5 indexed citations
7.
Hoffman, Joel C., et al.. (2021). Evaluating the performance of DNA metabarcoding for assessment of zooplankton communities in Western Lake Superior using multiple markers. SHILAP Revista de lepidopterología. 5. 83–97. 11 indexed citations
8.
Hoffman, Joel C., Erik M. Pilgrim, Anett S. Trebitz, et al.. (2021). Comparison of larval fish detections using morphology-based taxonomy versus high-throughput sequencing for invasive species early detection. Canadian Journal of Fisheries and Aquatic Sciences. 78(6). 752–764. 7 indexed citations
9.
Darling, John A., et al.. (2020). Metabarcoding quantifies differences in accumulation of ballast water borne biodiversity among three port systems in the United States. The Science of The Total Environment. 749. 141456–141456. 9 indexed citations
10.
Bagley, Mark J., et al.. (2018). Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding. Hydrobiologia. 818(1). 71–86. 52 indexed citations
11.
Darling, John A., et al.. (2018). Ballast Water Exchange and Invasion Risk Posed by Intracoastal Vessel Traffic: An Evaluation Using High Throughput Sequencing. Environmental Science & Technology. 52(17). 9926–9936. 33 indexed citations
12.
Kelly, John R., et al.. (2017). Sensitivity and accuracy of high-throughput metabarcoding methods for early detection of invasive fish species. Scientific Reports. 7(1). 46393–46393. 34 indexed citations
13.
14.
Nacci, Diane, et al.. (2016). Genetic basis for rapidly evolved tolerance in the wild: adaptation to toxic pollutants by an estuarine fish species. Molecular Ecology. 25(21). 5467–5482. 28 indexed citations
15.
Kostich, Mitch, Robert W. Flick, & John Martinson. (2013). Comparing predicted estrogen concentrations with measurements in US waters. Environmental Pollution. 178. 271–277. 52 indexed citations
16.
Lamendella, Regina, Jorge W. Santo Domingo, Shreya Ghosh, John Martinson, & Daniel B. Oerther. (2011). Comparative fecal metagenomics unveils unique functional capacity of the swine gut. BMC Microbiology. 11(1). 103–103. 301 indexed citations
17.
Maki, Nobuyasu, John Martinson, Osamu Nishimura, et al.. (2010). Expression profiles during dedifferentiation in newt lens regeneration revealed by expressed sequence tags.. PubMed. 16. 72–8. 34 indexed citations
18.
Martinson, John, et al.. (2001). Your Private Sky: R. Buckminster Fuller, the Art of Design Science. Geographical Review. 91(3). 597–597. 8 indexed citations
19.
Landers, Dixon H., et al.. (1995). Mercury in vegetation and lake sediments from the U. S. arctic. Water Air & Soil Pollution. 80(1-4). 591–601. 37 indexed citations
20.
Ford, James D., Dixon H. Landers, Brenda K. Lasorsa, et al.. (1995). Inorganic contaminants in Arctic Alaskan ecosystems: long-range atmospheric transport or local point sources?. The Science of The Total Environment. 160-161. 323–335. 44 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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