Reagan M. Errera

1.0k total citations
20 papers, 581 citations indexed

About

Reagan M. Errera is a scholar working on Oceanography, Environmental Chemistry and Ecology. According to data from OpenAlex, Reagan M. Errera has authored 20 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oceanography, 16 papers in Environmental Chemistry and 3 papers in Ecology. Recurrent topics in Reagan M. Errera's work include Marine and coastal ecosystems (17 papers), Aquatic Ecosystems and Phytoplankton Dynamics (12 papers) and Marine Toxins and Detection Methods (7 papers). Reagan M. Errera is often cited by papers focused on Marine and coastal ecosystems (17 papers), Aquatic Ecosystems and Phytoplankton Dynamics (12 papers) and Marine Toxins and Detection Methods (7 papers). Reagan M. Errera collaborates with scholars based in United States, Estonia and United Kingdom. Reagan M. Errera's co-authors include Lisa Campbell, Daniel L. Roelke, Bryan W. Brooks, James P. Grover, Richard L. Kiesling, S. A. Yvon‐Lewis, J. D. Kessler, Darren W. Henrichs, Nima Pahlevan and Steven A. Ruberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Water Research.

In The Last Decade

Reagan M. Errera

19 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reagan M. Errera United States 13 372 360 186 87 55 20 581
Aletta T. Yñiguez Philippines 12 403 1.1× 324 0.9× 256 1.4× 104 1.2× 40 0.7× 29 668
Todd A. Egerton United States 16 492 1.3× 335 0.9× 257 1.4× 70 0.8× 57 1.0× 28 654
Silvia Pulina Italy 14 386 1.0× 274 0.8× 207 1.1× 59 0.7× 81 1.5× 34 625
Jennifer A. Goleski United States 13 561 1.5× 528 1.5× 328 1.8× 81 0.9× 52 0.9× 16 827
Cecilia Teodora Satta Italy 15 378 1.0× 317 0.9× 187 1.0× 138 1.6× 69 1.3× 36 588
Caroline Cusack Ireland 15 582 1.6× 408 1.1× 217 1.2× 88 1.0× 73 1.3× 33 809
Simon Roberts Australia 14 528 1.4× 344 1.0× 276 1.5× 82 0.9× 35 0.6× 16 820
Pirjo Kuuppo Finland 15 437 1.2× 299 0.8× 261 1.4× 59 0.7× 51 0.9× 19 629
Seija Hällfors Finland 13 503 1.4× 237 0.7× 260 1.4× 74 0.9× 25 0.5× 21 608
Zou Jing-zhong China 10 381 1.0× 314 0.9× 177 1.0× 66 0.8× 29 0.5× 14 556

Countries citing papers authored by Reagan M. Errera

Since Specialization
Citations

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

Fields of papers citing papers by Reagan M. Errera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reagan M. Errera. 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 Reagan M. Errera. The network helps show where Reagan M. Errera may publish in the future.

Co-authorship network of co-authors of Reagan M. Errera

This figure shows the co-authorship network connecting the top 25 collaborators of Reagan M. Errera. A scholar is included among the top collaborators of Reagan M. Errera 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 Reagan M. Errera. Reagan M. Errera 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.
Gossiaux, Duane C., et al.. (2025). A Bayesian hierarchical modeling approach can improve measurement accuracy of microcystin concentrations. Chemosphere. 384. 144481–144481. 1 indexed citations
2.
Uyl, Paul A. Den, et al.. (2025). Genomic Identification and Characterization of Saxitoxin Producing Cyanobacteria in Western Lake Erie Harmful Algal Blooms. Environmental Science & Technology. 59(15). 7600–7612. 1 indexed citations
3.
Rowe, Mark D., Richard P. Stumpf, Reagan M. Errera, et al.. (2025). Ten‐Year Hindcast Assessment of an Improved Probabilistic Forecast System for Cyanotoxin (Microcystins) Risk Level in Lake Erie. Water Resources Research. 61(4).
4.
Zhang, Yanwu, Brian Kieft, Brett Hobson, et al.. (2024). Using a long‐range autonomous underwater vehicle to find and sample harmful algal blooms in Lake Erie. Limnology and Oceanography Methods. 22(7). 473–483. 4 indexed citations
5.
Burtner, Ashley M., David L. Fanslow, Casey M. Godwin, et al.. (2023). Routine monitoring of western Lake Erie to track water quality changes associated with cyanobacterial harmful algal blooms. Earth system science data. 15(8). 3853–3868. 19 indexed citations
6.
Uyl, Paul A. Den, Luke Thompson, Reagan M. Errera, et al.. (2022). Lake Erie field trials to advance autonomous monitoring of cyanobacterial harmful algal blooms. Frontiers in Marine Science. 9. 16 indexed citations
7.
Pahlevan, Nima, Caren Binding, Daniela Gurlin, et al.. (2021). Impact of Spectral Resolution on Quantifying Cyanobacteria in Lakes and Reservoirs: A Machine-Learning Assessment. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–20. 17 indexed citations
8.
Dick, Gregory J., Melissa B. Duhaime, Reagan M. Errera, et al.. (2021). The genetic and ecophysiological diversity of Microcystis. Environmental Microbiology. 23(12). 7278–7313. 87 indexed citations
9.
Smith, Brandon, Nima Pahlevan, John F. Schalles, et al.. (2021). A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks. Frontiers in Remote Sensing. 1. 90 indexed citations
11.
Xu, Wei, et al.. (2018). Production of Calcium-Binding Proteins in Crassostrea virginica in Response to Increased Environmental CO2 Concentration. Frontiers in Marine Science. 5. 15 indexed citations
12.
Errera, Reagan M., et al.. (2018). Impacts of elevated pCO2 on estuarine phytoplankton biomass and community structure in two biogeochemically distinct systems in Louisiana, USA. Journal of Experimental Marine Biology and Ecology. 511. 28–39. 5 indexed citations
13.
Errera, Reagan M., S. A. Yvon‐Lewis, J. D. Kessler, & Lisa Campbell. (2014). Reponses of the dinoflagellate Karenia brevis to climate change: pCO2 and sea surface temperatures. Harmful Algae. 37. 110–116. 47 indexed citations
14.
Henrichs, Darren W., Paula S. Scott, Karen A. Steidinger, et al.. (2012). Morphology and Phylogeny of Prorocentrum texanum sp. nov. (Dinophyceae): A New Toxic Dinoflagellate from the Gulf of Mexico Coastal Waters Exhibiting Two Distinct Morphologies. Journal of Phycology. 49(1). 143–155. 26 indexed citations
15.
Errera, Reagan M. & Lisa Campbell. (2011). Osmotic stress triggers toxin production by the dinoflagellate Karenia brevis. Proceedings of the National Academy of Sciences. 108(26). 10597–10601. 43 indexed citations
16.
Roelke, Daniel L., Bryan W. Brooks, James P. Grover, et al.. (2010). Factors Influencing Prymnesium parvum Population Dynamics During Bloom Initiation: Results from In‐lake Mesocosm Experiments1. JAWRA Journal of the American Water Resources Association. 46(1). 76–91. 30 indexed citations
17.
Errera, Reagan M., et al.. (2009). Variation in brevetoxin and brevenal content among clonal cultures of Karenia brevis may influence bloom toxicity. Toxicon. 55(2-3). 195–203. 40 indexed citations
19.
Errera, Reagan M.. (2007). Inhibition and success of prymnesium parvum invasion on plankton communities in Texas, USA and prymnesium parvum pigment dynamics. OakTrust (Texas A&M University Libraries). 1 indexed citations
20.
Grover, James P., et al.. (2007). GROWTH AND TOXICITY OFPRYMNESIUM PARVUM(HAPTOPHYTA) AS A FUNCTION OF SALINITY, LIGHT, AND TEMPERATURE1. Journal of Phycology. 43(2). 219–227. 94 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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