Scott Jensen

1.1k total citations
19 papers, 786 citations indexed

About

Scott Jensen is a scholar working on Ecology, Molecular Biology and Environmental Chemistry. According to data from OpenAlex, Scott Jensen has authored 19 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 9 papers in Molecular Biology and 7 papers in Environmental Chemistry. Recurrent topics in Scott Jensen's work include Microbial Community Ecology and Physiology (13 papers), Environmental DNA in Biodiversity Studies (6 papers) and Marine Toxins and Detection Methods (5 papers). Scott Jensen is often cited by papers focused on Microbial Community Ecology and Physiology (13 papers), Environmental DNA in Biodiversity Studies (6 papers) and Marine Toxins and Detection Methods (5 papers). Scott Jensen collaborates with scholars based in United States, South Africa and United Kingdom. Scott Jensen's co-authors include Roman Marin, Brent Roman, Christopher A. Scholin, Christina M. Preston, James M. Birch, Eugene Massion, Dianne I. Greenfield, Jason Feldman, Douglas Pargett and Christina M. Mikulski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Scott Jensen

19 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Jensen United States 16 501 318 290 226 78 19 786
Brent Roman United States 17 557 1.1× 344 1.1× 319 1.1× 255 1.1× 78 1.0× 26 861
Douglas Pargett United States 10 370 0.7× 197 0.6× 211 0.7× 116 0.5× 44 0.6× 14 549
Dianne I. Greenfield United States 15 355 0.7× 404 1.3× 139 0.5× 340 1.5× 45 0.6× 34 736
Chris Scholin United States 14 350 0.7× 377 1.2× 235 0.8× 370 1.6× 33 0.4× 17 699
G. B. J. Dubelaar Netherlands 11 303 0.6× 365 1.1× 140 0.5× 107 0.5× 72 0.9× 18 637
Erica L. Seubert United States 12 190 0.4× 457 1.4× 98 0.3× 350 1.5× 24 0.3× 17 692
Eugene Massion United States 7 226 0.5× 167 0.5× 119 0.4× 112 0.5× 40 0.5× 8 360
Huabing Li China 14 394 0.8× 241 0.8× 159 0.5× 244 1.1× 30 0.4× 41 780
Daniela Voß Germany 14 209 0.4× 305 1.0× 153 0.5× 227 1.0× 13 0.2× 29 559
Massimiliano Molari Germany 15 373 0.7× 233 0.7× 166 0.6× 216 1.0× 13 0.2× 25 679

Countries citing papers authored by Scott Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Scott Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Jensen

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Jensen. A scholar is included among the top collaborators of Scott Jensen 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 Scott Jensen. Scott Jensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Jones, Devin N., Ben C. Augustine, Patrick R. Hutchins, et al.. (2024). Autonomous samplers and environmental DNA metabarcoding: sampling day and primer choice have greatest impact on fish detection probabilities. SHILAP Revista de lepidopterología. 8. 1 indexed citations
2.
Preston, Christina M., Kevan M. Yamahara, Douglas Pargett, et al.. (2023). Autonomous eDNA collection using an uncrewed surface vessel over a 4200‐km transect of the eastern Pacific Ocean. Environmental DNA. 6(1). 17 indexed citations
4.
Takeshita, Yuichiro, Kenneth S. Johnson, Francisco P. Chávez, et al.. (2020). Accurate pH and O2 Measurements from Spray Underwater Gliders. Journal of Atmospheric and Oceanic Technology. 38(2). 181–195. 20 indexed citations
5.
Yamahara, Kevan M., Christina M. Preston, James M. Birch, et al.. (2019). In situ Autonomous Acquisition and Preservation of Marine Environmental DNA Using an Autonomous Underwater Vehicle. Frontiers in Marine Science. 6. 102 indexed citations
6.
Rogers, Daniel R., Christina M. Preston, William Ussler, et al.. (2017). Co-registered Geochemistry and Metatranscriptomics Reveal Unexpected Distributions of Microbial Activity within a Hydrothermal Vent Field. Frontiers in Microbiology. 8. 1042–1042. 21 indexed citations
7.
Scholin, Christopher A., James M. Birch, Scott Jensen, et al.. (2017). The Quest to Develop Ecogenomic Sensors: A 25-Year History of the Environmental Sample Processor (ESP) as a Case Study. Oceanography. 30(4). 100–113. 72 indexed citations
8.
Pargett, Douglas, Scott Jensen, Christina M. Preston, et al.. (2013). Deep water instrument for microbial identification, quantification, and archiving. 2013 OCEANS - San Diego. 1–6. 2 indexed citations
9.
Ussler, William, Christina M. Preston, Patricia L. Tavormina, et al.. (2013). Autonomous Application of Quantitative PCR in the Deep Sea: In Situ Surveys of Aerobic Methanotrophs Using the Deep-Sea Environmental Sample Processor. Environmental Science & Technology. 47(16). 9339–9346. 36 indexed citations
10.
Preston, Christina M., John P. Ryan, Brent Roman, et al.. (2011). Underwater Application of Quantitative PCR on an Ocean Mooring. PLoS ONE. 6(8). e22522–e22522. 68 indexed citations
11.
Forman, Grant S., et al.. (2011). Greenhouse Gas Emission Evaluation of the GTL Pathway. Environmental Science & Technology. 45(20). 9084–9092. 18 indexed citations
12.
Preston, Christina M., Roman Marin, Scott Jensen, et al.. (2009). Near real‐time, autonomous detection of marine bacterioplankton on a coastal mooring in Monterey Bay, California, using rRNA‐targeted DNA probes. Environmental Microbiology. 11(5). 1168–1180. 53 indexed citations
13.
Doucette, Gregory J., Christina M. Mikulski, Kelly Jones, et al.. (2009). Remote, subsurface detection of the algal toxin domoic acid onboard the Environmental Sample Processor: Assay development and field trials. Harmful Algae. 8(6). 880–888. 56 indexed citations
14.
Scholin, Christopher A., Gregory J. Doucette, Scott Jensen, et al.. (2009). Remote Detection of Marine Microbes, Small Invertebrates, Harmful Algae, and Biotoxins using the Environmental Sample Processor (ESP). Oceanography. 22(2). 158–167. 108 indexed citations
15.
Greenfield, Dianne I., Roman Marin, Gregory J. Doucette, et al.. (2008). Field applications of the second‐generation Environmental Sample Processor (ESP) for remote detection of harmful algae: 2006‐2007. Limnology and Oceanography Methods. 6(12). 667–679. 63 indexed citations
16.
Roman, Brent, Chris Scholin, Scott Jensen, et al.. (2007). Controlling a Robotic Marine Environmental Sampler with the Ruby Scripting Language. JALA Journal of the Association for Laboratory Automation. 12(1). 56–61. 19 indexed citations
17.
Jensen, Scott, et al.. (2006). Forming First-and Second-Order Cardioids with Multimode Hydrophones. 1–6. 11 indexed citations
18.
Greenfield, Dianne I., Roman Marin, Scott Jensen, et al.. (2006). Application of environmental sample processor (ESP) methodology for quantifying Pseudo‐nitzschia australis using ribosomal RNA‐targeted probes in sandwich and fluorescent in situ hybridization formats. Limnology and Oceanography Methods. 4(11). 426–435. 74 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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