Freya Squires

1.6k total citations
17 papers, 426 citations indexed

About

Freya Squires is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Freya Squires has authored 17 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 12 papers in Health, Toxicology and Mutagenesis and 10 papers in Environmental Engineering. Recurrent topics in Freya Squires's work include Atmospheric chemistry and aerosols (13 papers), Air Quality and Health Impacts (12 papers) and Air Quality Monitoring and Forecasting (8 papers). Freya Squires is often cited by papers focused on Atmospheric chemistry and aerosols (13 papers), Air Quality and Health Impacts (12 papers) and Air Quality Monitoring and Forecasting (8 papers). Freya Squires collaborates with scholars based in United Kingdom, China and Malaysia. Freya Squires's co-authors include James Lee, Yele Sun, Pingqing Fu, Sue Grimmond, Simone Kotthaus, M. J. Evans, P. M. Edwards, Alastair C. Lewis, Katie Smith and Junfeng Wang and has published in prestigious journals such as Atmospheric chemistry and physics, Global Biogeochemical Cycles and Faraday Discussions.

In The Last Decade

Freya Squires

16 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Freya Squires United Kingdom	10	297	272	192	117	68	17	426
Daniel Miller-Lionberg United States	8	296 1.0×	118 0.4×	273 1.4×	83 0.7×	68 1.0×	12	440
Antonios Tasoglou United States	15	388 1.3×	302 1.1×	158 0.8×	71 0.6×	51 0.8×	23	525
Chrysanthos Savvides Cyprus	14	258 0.9×	275 1.0×	142 0.7×	110 0.9×	46 0.7×	29	409
Sen Yao China	9	353 1.2×	310 1.1×	171 0.9×	107 0.9×	97 1.4×	17	467
Oscar Peralta Mexico	11	248 0.8×	204 0.8×	90 0.5×	127 1.1×	51 0.8×	38	374
Günter Baumbach Germany	9	242 0.8×	174 0.6×	90 0.5×	64 0.5×	64 0.9×	16	387
Pamela Dominutti France	16	379 1.3×	395 1.5×	196 1.0×	136 1.2×	123 1.8×	37	561
Brandon Feenstra United States	11	432 1.5×	235 0.9×	486 2.5×	108 0.9×	102 1.5×	18	580
Vasileios N. Matthaios United Kingdom	13	240 0.8×	149 0.5×	134 0.7×	54 0.5×	114 1.7×	23	365

Countries citing papers authored by Freya Squires

Since Specialization

Citations

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

Fields of papers citing papers by Freya Squires

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Freya Squires

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

All Works

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17 of 17 papers shown

Lee, James, Shona E. Wilde, Will Drysdale, et al.. (2025). SO ₂ and NO _x emissions from ships in North-East Atlantic waters: in situ measurements and comparison with an emission model. Environmental Science Atmospheres. 5(12). 1282–1296.

Jones, A. E., Rebecca Fisher, James L. France, et al.. (2025). Methane Emissions and Dynamics in the Weddell and Scotia Seas. Global Biogeochemical Cycles. 39(5). 1 indexed citations

Nelson, Beth S., Zhenze Liu, Freya Squires, et al.. (2024). The effect of different climate and air quality policies in China on in situ ozone production in Beijing. Atmospheric chemistry and physics. 24(16). 9031–9044. 1 indexed citations

Shaw, J.T., Shona E. Wilde, Freya Squires, et al.. (2023). Flaring efficiencies and NO _x emission ratios measured for offshore oil and gas facilities in the North Sea. Atmospheric chemistry and physics. 23(2). 1491–1509. 10 indexed citations

Frey, M. M., et al.. (2023). Snowpack nitrate photolysis drives the summertime atmospheric nitrous acid (HONO) budget in coastal Antarctica. Atmospheric chemistry and physics. 23(9). 5533–5550. 6 indexed citations

Drysdale, Will, Adam Vaughan, Freya Squires, et al.. (2022). Eddy covariance measurements highlight sources of nitrogen oxide emissions missing from inventories for central London. Atmospheric chemistry and physics. 22(14). 9413–9433. 9 indexed citations

Joshi, Rutambhara, Dantong Liu, Eiko Nemitz, et al.. (2021). Direct measurements of black carbon fluxes in central Beijing using the eddy covariance method. Atmospheric chemistry and physics. 21(1). 147–162. 7 indexed citations

Stocker, Jenny, Ruth M. Doherty, Oliver Wild, et al.. (2020). Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign. Atmospheric chemistry and physics. 20(5). 2755–2780. 29 indexed citations

Bloss, William J., Louisa J. Kramer, Leigh R. Crilley, et al.. (2020). Insights into air pollution chemistry and sulphate formation from nitrous acid (HONO) measurements during haze events in Beijing. Faraday Discussions. 226. 223–238. 10 indexed citations

10.

Panagi, Marios, Zoë L. Fleming, P. S. Monks, et al.. (2020). Investigating the regional contributions to air pollution in Beijing: a dispersion modelling study using CO as a tracer. Atmospheric chemistry and physics. 20(5). 2825–2838. 21 indexed citations

11.

Smith, Katie, P. M. Edwards, Peter D. Ivatt, et al.. (2019). An improved low-power measurement of ambient NO ₂ and O ₃ combining electrochemical sensor clusters and machine learning. Atmospheric measurement techniques. 12(2). 1325–1336. 36 indexed citations

12.

Brean, James, Roy M. Harrison, Zongbo Shi, et al.. (2019). Observations of highly oxidized molecules and particle nucleation in the atmosphere of Beijing. Atmospheric chemistry and physics. 19(23). 14933–14947. 25 indexed citations

13.

Panagi, Marios, Zoë L. Fleming, P. S. Monks, et al.. (2019). Investigating the regional contributions to air pollution in Beijing: A dispersion modelling study using CO as a tracer. 1 indexed citations

14.

Chatzidiakou, Lia, Anika Krause, Olalekan Popoola, et al.. (2019). Characterising low-cost sensors in highly portable platforms to quantify personal exposure in diverse environments. Atmospheric measurement techniques. 12(8). 4643–4657. 88 indexed citations

15.

Liu, Dantong, Rutambhara Joshi, Junfeng Wang, et al.. (2019). Contrasting physical properties of black carbon in urban Beijing between winter and summer. Atmospheric chemistry and physics. 19(10). 6749–6769. 100 indexed citations

16.

Ge, Baozhu, Xiaobin Xu, Zhiqiang Ma, et al.. (2019). Role of Ammonia on the Feedback Between AWC and Inorganic Aerosol Formation During Heavy Pollution in the North China Plain. Earth and Space Science. 6(9). 1675–1693. 50 indexed citations

17.

Smith, Katie, P. M. Edwards, M. J. Evans, et al.. (2017). Clustering approaches to improve the performance of low cost air pollution sensors. Faraday Discussions. 200. 621–637. 32 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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