Andrew Yool

18.3k total citations
107 papers, 5.1k citations indexed

About

Andrew Yool is a scholar working on Oceanography, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Andrew Yool has authored 107 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Oceanography, 49 papers in Global and Planetary Change and 27 papers in Atmospheric Science. Recurrent topics in Andrew Yool's work include Marine and coastal ecosystems (69 papers), Oceanographic and Atmospheric Processes (31 papers) and Ocean Acidification Effects and Responses (31 papers). Andrew Yool is often cited by papers focused on Marine and coastal ecosystems (69 papers), Oceanographic and Atmospheric Processes (31 papers) and Ocean Acidification Effects and Responses (31 papers). Andrew Yool collaborates with scholars based in United Kingdom, United States and Germany. Andrew Yool's co-authors include Ekaterina Popova, Thomas R. Anderson, Adrian P. Martin, Stephanie Henson, Andrew C. Coward, Toby Tyrrell, Camila Fernández, Darren R. Clark, Yevgeny Aksenov and Richard Sanders and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Andrew Yool

105 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Yool United Kingdom 41 3.3k 1.8k 1.6k 1.4k 724 107 5.1k
Temel Oǧuz Türkiye 41 3.8k 1.1× 1.4k 0.8× 843 0.5× 1.1k 0.8× 339 0.5× 90 4.8k
Raymond G. Najjar United States 39 3.3k 1.0× 1.7k 0.9× 1.2k 0.8× 1.3k 0.9× 714 1.0× 98 5.0k
Simone R. Alin United States 32 3.2k 1.0× 1.9k 1.0× 841 0.5× 1.9k 1.3× 982 1.4× 77 4.8k
Hajime Kayanne Japan 36 2.1k 0.6× 1.3k 0.7× 878 0.6× 2.7k 1.9× 220 0.3× 130 4.0k
Richard J. Matear Australia 53 6.3k 1.9× 4.8k 2.7× 2.4k 1.6× 2.5k 1.7× 703 1.0× 182 9.2k
Nicholas R. Bates Bermuda 57 8.5k 2.5× 2.9k 1.6× 2.5k 1.6× 3.0k 2.1× 1.4k 2.0× 142 9.9k
Stephanie Henson United Kingdom 46 5.1k 1.5× 2.2k 1.2× 956 0.6× 2.2k 1.5× 588 0.8× 105 6.4k
Marion Gehlen France 41 5.3k 1.6× 2.5k 1.4× 1.5k 1.0× 1.8k 1.2× 906 1.3× 99 7.0k
Tatiana Ilyina Germany 33 2.8k 0.8× 2.8k 1.5× 1.5k 1.0× 987 0.7× 592 0.8× 86 5.0k
Olivier Aumont France 52 7.9k 2.4× 4.2k 2.3× 2.9k 1.8× 2.4k 1.7× 1.1k 1.5× 177 10.6k

Countries citing papers authored by Andrew Yool

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Yool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Yool

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Yool. A scholar is included among the top collaborators of Andrew Yool 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 Andrew Yool. Andrew Yool 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.
Kelly, Stephen, et al.. (2025). Abrupt Changes in the Timing and Magnitude of the North Atlantic Bloom Over the 21st Century. Journal of Geophysical Research Oceans. 130(3). 1 indexed citations
3.
Mora, L. de, Ranjini Swaminathan, Richard P. Allan, et al.. (2023). Scenario choice impacts carbon allocation projection at global warming levels. Earth System Dynamics. 14(6). 1295–1315.
4.
Quartly, Graham D., Jim Aiken, Robert J. W. Brewin, & Andrew Yool. (2023). The link between surface and sub-surface chlorophyll-a in the centre of the Atlantic subtropical gyres: a comparison of observations and models. Frontiers in Marine Science. 10. 2 indexed citations
5.
Woodward, S., Alistair Sellar, Yongming Tang, et al.. (2022). The simulation of mineral dust in the United Kingdom Earth System Model UKESM1. Atmospheric chemistry and physics. 22(22). 14503–14528. 14 indexed citations
6.
Martin, Adrian P., et al.. (2022). Biological Carbon Pump Sequestration Efficiency in the North Atlantic: A Leaky or a Long‐Term Sink?. Global Biogeochemical Cycles. 36(6). 28 indexed citations
7.
Lobelle, Delphine, Merel Kooi, Albert A. Koelmans, et al.. (2022). Modelling submerged biofouled microplastics and their vertical trajectories. Biogeosciences. 19(8). 2211–2234. 47 indexed citations
8.
Mora, L. de, Alistair Sellar, Andrew Yool, et al.. (2020). Earth system music: music generated from the United Kingdom Earth System Model (UKESM1). SHILAP Revista de lepidopterología. 3(2). 263–278. 3 indexed citations
9.
Oliver, K. I. C., et al.. (2019). Drivers of 21<sup>st</sup> Century carbon cycle variability in the NorthAtlantic Ocean. Helmholtz Centre for Ocean Research Kiel (GEOMAR). 4 indexed citations
10.
Ward, Ben A., Jamie D. Wilson, Ros Death, et al.. (2017). EcoGEnIE 0.1: Plankton Ecology in the cGENIE Earth system model. Bristol Research (University of Bristol). 2 indexed citations
11.
Beaulieu, Claudie, Harriet Cole, Stephanie Henson, et al.. (2016). Marine regime shifts in ocean biogeochemical models: a case study in theGulf of Alaska. Biogeosciences. 13(15). 4533–4553. 5 indexed citations
12.
Tagliabue, Alessandro, Olivier Aumont, Ros Death, et al.. (2015). How well do global ocean biogeochemistry models simulate dissolved iron distributions?. Global Biogeochemical Cycles. 30(2). 149–174. 238 indexed citations
13.
Popova, Ekaterina, Andrew Yool, Yevgeny Aksenov, Andrew C. Coward, & Thomas R. Anderson. (2014). Regional variability of acidification in the Arctic: a sea of contrasts. Biogeosciences. 11(2). 293–308. 40 indexed citations
14.
Henson, Stephanie, Harriet Cole, Claudie Beaulieu, & Andrew Yool. (2013). The impact of global warming on seasonality of ocean primary production. Biogeosciences. 10(6). 4357–4369. 66 indexed citations
15.
Yool, Andrew, Ekaterina Popova, & Thomas R. Anderson. (2011). Medusa-1.0: a new intermediate complexity plankton ecosystem model for the global domain. Geoscientific model development. 4(2). 381–417. 58 indexed citations
16.
Perrette, Mahé, Andrew Yool, Graham D. Quartly, & Ekaterina Popova. (2011). Near-ubiquity of ice-edge blooms in the Arctic. Biogeosciences. 8(2). 515–524. 187 indexed citations
17.
Yool, Andrew, Andreas Oschlies, A. J. George Nurser, & Nicolas Gruber. (2010). A model-based assessment of the TrOCA approach for estimating anthropogenic carbon in the ocean. Biogeosciences. 7(2). 723–751. 39 indexed citations
18.
Yool, Andrew, Andreas Oschlies, & A. J. George Nurser. (2009). A model-based assessment of the TrOCA approach for estimating oceanic anthropogenic carbon. 1 indexed citations
19.
Álvarez, Marta, Claire Lo Monaco, Andrew Yool, et al.. (2009). Estimating the storage of anthropogenic carbon in the subtropical Indian Ocean: a comparison of five different approaches. Biogeosciences. 6(4). 681–703. 39 indexed citations
20.
Hernando, M.M., Claire Lo Monaco, Toste Tanhua, et al.. (2009). Estimating the storage of anthropogenic carbon in the subtropical Indian Ocean: a comparison of five different approaches. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea). 4 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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