Malcolm McFarland

832 total citations
34 papers, 625 citations indexed

About

Malcolm McFarland is a scholar working on Oceanography, Environmental Chemistry and Ecology. According to data from OpenAlex, Malcolm McFarland has authored 34 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oceanography, 15 papers in Environmental Chemistry and 11 papers in Ecology. Recurrent topics in Malcolm McFarland's work include Marine and coastal ecosystems (24 papers), Aquatic Ecosystems and Phytoplankton Dynamics (10 papers) and Marine Toxins and Detection Methods (9 papers). Malcolm McFarland is often cited by papers focused on Marine and coastal ecosystems (24 papers), Aquatic Ecosystems and Phytoplankton Dynamics (10 papers) and Marine Toxins and Detection Methods (9 papers). Malcolm McFarland collaborates with scholars based in United States, United Kingdom and China. Malcolm McFarland's co-authors include James M. Sullivan, Aditya R. Nayak, Michael Twardowski, Jan Rines, Percy L. Donaghay, Jiarong Hong, Adam M. Schaefer, Joseph Katz, Thomas H. Johengen and Steven A. Ruberg and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Malcolm McFarland

32 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malcolm McFarland United States 13 393 218 146 81 69 34 625
Aditya R. Nayak United States 11 214 0.5× 68 0.3× 91 0.6× 78 1.0× 45 0.7× 32 507
Kevin Saw United Kingdom 11 442 1.1× 76 0.3× 236 1.6× 62 0.8× 88 1.3× 18 630
Jan Rines United States 12 441 1.1× 211 1.0× 184 1.3× 30 0.4× 64 0.9× 17 608
M. Donze Netherlands 12 311 0.8× 91 0.4× 156 1.1× 26 0.3× 63 0.9× 21 709
Tom Dillon United States 17 300 0.8× 80 0.4× 180 1.2× 15 0.2× 175 2.5× 44 1.1k
Lianbo Hu China 14 748 1.9× 37 0.2× 228 1.6× 24 0.3× 260 3.8× 48 966
Eyvind Aas Norway 13 554 1.4× 67 0.3× 115 0.8× 13 0.2× 151 2.2× 50 690
Jerzy Dera Poland 20 901 2.3× 111 0.5× 229 1.6× 26 0.3× 261 3.8× 52 1.2k
Robert Vaillancourt United States 18 855 2.2× 101 0.5× 335 2.3× 7 0.1× 276 4.0× 31 1.2k
Alexander Gilerson United States 24 1.0k 2.6× 107 0.5× 315 2.2× 29 0.4× 421 6.1× 73 1.4k

Countries citing papers authored by Malcolm McFarland

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm McFarland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm McFarland

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm McFarland. A scholar is included among the top collaborators of Malcolm McFarland 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 Malcolm McFarland. Malcolm McFarland 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.
Jiang, Mingshun, Jordon Beckler, Timothy S. Moore, et al.. (2025). Modeling water quality and cyanobacteria blooms in Lake Okeechobee: I. Model descriptions, seasonal cycles, and spatial patterns. Ecological Modelling. 502. 111018–111018. 3 indexed citations
2.
Reif, John S., et al.. (2025). Evaluating Bias in Self-Reported Symptoms During a Cyanobacterial Algal Bloom. Toxins. 17(6). 287–287.
3.
McFarland, Malcolm, et al.. (2024). HEALTH OUTCOMES OF AGING INDIVIDUALS EXPOSED TO HARMFUL ALGAL BLOOMS IN SOUTH FLORIDA. Innovation in Aging. 8(Supplement_1). 265–265.
4.
Johnson, Matthew D., Jiarong Hong, Adam T. Greer, et al.. (2024). In situ imaging of a kleptoplastidic ciliate thin layer indicates traditional sampling underestimates oceanic mixotroph biomass. Communications Earth & Environment. 5(1). 1 indexed citations
5.
Lapointe, Brian E., et al.. (2024). Nutrient availability in a freshwater-to-marine continuum: Cyanobacterial blooms along the Lake Okeechobee Waterway. Harmful Algae. 139. 102710–102710. 6 indexed citations
6.
7.
8.
Hanisak, M. Dennis, et al.. (2023). Pseudo-nitzschia species, toxicity, and dynamics in the southern Indian River Lagoon, FL. Harmful Algae. 126. 102437–102437. 3 indexed citations
9.
Reif, John S., et al.. (2023). Symptom frequency and exposure to a cyanobacteria bloom in Florida. Harmful Algae. 129. 102526–102526. 2 indexed citations
10.
McFarland, Malcolm, et al.. (2023). In situ digital holographic microscopy for rapid detection and monitoring of the harmful dinoflagellate, Karenia brevis. Harmful Algae. 123. 102401–102401. 8 indexed citations
11.
Edwards, Michelle L., Adam M. Schaefer, Malcolm McFarland, et al.. (2022). Detection of numerous phycotoxins in young bull sharks (Carcharhinus leucas) collected from an estuary of national significance. The Science of The Total Environment. 857(Pt 3). 159602–159602. 8 indexed citations
12.
McFarland, Malcolm, D. Bradshaw, Rachel A. Brewton, et al.. (2021). Dynamics of microcystins and saxitoxin in the Indian River Lagoon, Florida. Harmful Algae. 103. 102012–102012. 27 indexed citations
13.
Schaefer, Adam M., et al.. (2020). Exposure to microcystin among coastal residents during a cyanobacteria bloom in Florida. Harmful Algae. 92. 101769–101769. 56 indexed citations
14.
McFarland, Malcolm, et al.. (2020). Enhanced Light Absorption by Horizontally Oriented Diatom Colonies. Frontiers in Marine Science. 7. 10 indexed citations
15.
Greer, Adam T., John C. Lehrter, Aditya R. Nayak, et al.. (2020). High-Resolution Sampling of a Broad Marine Life Size Spectrum Reveals Differing Size- and Composition-Based Associations With Physical Oceanographic Structure. Frontiers in Marine Science. 7. 18 indexed citations
16.
Twardowski, Michael, et al.. (2020). Optical backscattering and linear polarization properties of the colony forming cyanobacterium Microcystis. Optics Express. 28(25). 37149–37149. 8 indexed citations
17.
Schaefer, Adam M., M. Dennis Hanisak, Malcolm McFarland, & James M. Sullivan. (2019). Integrated observing systems: An approach to studying harmful algal blooms in south Florida. Journal of Operational Oceanography. 12(sup2). S187–S198. 12 indexed citations
18.
Moore, Tim, James H. Churnside, James M. Sullivan, et al.. (2019). Vertical distributions of blooming cyanobacteria populations in a freshwater lake from LIDAR observations. Remote Sensing of Environment. 225. 347–367. 43 indexed citations
19.
McFarland, Malcolm, et al.. (2018). Individual particle measurements to monitor ecological processes in the Indian River Lagoon, FL. 13–13. 2 indexed citations
20.
Thornber, Carol, et al.. (2016). Ploidy Distribution of the Harmful Bloom Forming Macroalgae Ulva spp. in Narragansett Bay, Rhode Island, USA, Using Flow Cytometry Methods. PLoS ONE. 11(2). e0149182–e0149182. 14 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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2026