K. J. Pringle

10.7k total citations · 1 hit paper
60 papers, 3.6k citations indexed

About

K. J. Pringle is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, K. J. Pringle has authored 60 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Atmospheric Science, 52 papers in Global and Planetary Change and 17 papers in Health, Toxicology and Mutagenesis. Recurrent topics in K. J. Pringle's work include Atmospheric chemistry and aerosols (51 papers), Atmospheric aerosols and clouds (44 papers) and Atmospheric Ozone and Climate (26 papers). K. J. Pringle is often cited by papers focused on Atmospheric chemistry and aerosols (51 papers), Atmospheric aerosols and clouds (44 papers) and Atmospheric Ozone and Climate (26 papers). K. J. Pringle collaborates with scholars based in United Kingdom, United States and Germany. K. J. Pringle's co-authors include K. S. Carslaw, G. W. Mann, Dominick V. Spracklen, Lindsay Lee, Carly Reddington, Leighton A. Regayre, Alexandru Rap, Piers Forster, Jeffrey R. Pierce and Holger Tost and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

K. J. Pringle

58 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Large contribution of natural aerosols to uncertainty in indirect forcing

2013 742 citations K. S. Carslaw, Lindsay Lee et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. J. Pringle United Kingdom	30	3.2k	2.9k	950	217	164	60	3.6k
Hannele Korhonen Finland	32	2.8k 0.9×	2.3k 0.8×	1.2k 1.2×	353 1.6×	126 0.8×	97	3.1k
O. L. Mayol‐Bracero Puerto Rico	29	2.7k 0.8×	1.9k 0.7×	1.3k 1.4×	270 1.2×	160 1.0×	51	3.1k
Chien Wang United States	34	3.1k 1.0×	3.2k 1.1×	553 0.6×	339 1.6×	207 1.3×	87	4.1k
Minghuai Wang China	40	4.3k 1.3×	4.1k 1.4×	579 0.6×	388 1.8×	238 1.5×	149	4.9k
D. A. Ridley United States	25	2.3k 0.7×	1.9k 0.7×	788 0.8×	170 0.8×	219 1.3×	38	2.6k
H. Lyamani Spain	37	3.0k 0.9×	2.7k 0.9×	974 1.0×	383 1.8×	177 1.1×	92	3.5k
Alexandru Rap United Kingdom	28	2.9k 0.9×	2.6k 0.9×	735 0.8×	191 0.9×	70 0.4×	64	3.5k
D. Chand United States	30	3.4k 1.1×	2.8k 1.0×	1.6k 1.7×	307 1.4×	104 0.6×	59	3.9k
Huisheng Bian United States	34	3.6k 1.1×	3.3k 1.1×	752 0.8×	198 0.9×	615 3.8×	75	4.1k
Po‐Lun Ma United States	33	3.4k 1.1×	3.1k 1.1×	615 0.6×	181 0.8×	117 0.7×	117	3.7k

Countries citing papers authored by K. J. Pringle

Since Specialization

Citations

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

Fields of papers citing papers by K. J. Pringle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. J. Pringle. 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 K. J. Pringle. The network helps show where K. J. Pringle may publish in the future.

Co-authorship network of co-authors of K. J. Pringle

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

All Works

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20 of 20 papers shown

Herbert, Ross, Alberto Sánchez-Marroquín, Daniel P. Grosvenor, et al.. (2025). Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model. Atmospheric chemistry and physics. 25(1). 291–325. 7 indexed citations

Marsh, D. R., Steven T. Turnock, K. J. Pringle, et al.. (2024). The co-benefits of a low-carbon future for PM _2.5 and O ₃ air pollution in Europe. Atmospheric chemistry and physics. 24(18). 10717–10740. 6 indexed citations

Regayre, Leighton A., Lucia Deaconu, Daniel P. Grosvenor, et al.. (2023). Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing. Atmospheric chemistry and physics. 23(15). 8749–8768. 13 indexed citations

Ranjithkumar, Ananth, Hamish Gordon, Christina Williamson, et al.. (2021). Constraints on global aerosol number concentration, SO ₂ and condensation sink in UKESM1 using ATom measurements. Atmospheric chemistry and physics. 21(6). 4979–5014. 18 indexed citations

Sánchez-Marroquín, Alberto, Ólafur Arnalds, Jo Browse, et al.. (2021). Ice nucleation by glaciogenic dust and cloud climate feedbacks. 1 indexed citations

Sengupta, Kamalika, K. J. Pringle, Jill S. Johnson, et al.. (2021). A global model perturbed parameter ensemble study of secondary organic aerosol formation. Atmospheric chemistry and physics. 21(4). 2693–2723. 8 indexed citations

Pringle, K. J., Richard J. Pope, S. R. Arnold, et al.. (2021). Impact of the 2019/2020 Australian Megafires on Air Quality and Health. GeoHealth. 5(10). e2021GH000454–e2021GH000454. 26 indexed citations

Sengupta, Kamalika, K. J. Pringle, Jill S. Johnson, et al.. (2020). A global model perturbed parameter ensemble study of secondary organic aerosol formation. 3 indexed citations

Johnson, Jill S., Leighton A. Regayre, Masaru Yoshioka, et al.. (2020). Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing. Atmospheric chemistry and physics. 20(15). 9491–9524. 25 indexed citations

10.

Hamilton, Douglas S., Stijn Hantson, Catherine E. Scott, et al.. (2018). Reassessment of pre-industrial fire emissions strongly affects anthropogenic aerosol forcing. Nature Communications. 9(1). 3182–3182. 70 indexed citations

11.

Herbert, Ross, Michael D. Krom, K. S. Carslaw, et al.. (2018). The Effect of Atmospheric Acid Processing on the Global Deposition of Bioavailable Phosphorus From Dust. Global Biogeochemical Cycles. 32(9). 1367–1385. 23 indexed citations

12.

Regayre, Leighton A., Jill S. Johnson, Masaru Yoshioka, et al.. (2018). Aerosol and physical atmosphere model parameters are both important sources of uncertainty in aerosol ERF. Atmospheric chemistry and physics. 18(13). 9975–10006. 70 indexed citations

13.

Johnson, Jill S., Leighton A. Regayre, Masaru Yoshioka, et al.. (2018). The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing. Atmospheric chemistry and physics. 18(17). 13031–13053. 29 indexed citations

14.

Vergara‐Temprado, Jesús, Benjamin J. Murray, T. W. Wilson, et al.. (2017). Contribution of feldspar and marine organic aerosols to global ice nucleating particle concentrations. Atmospheric chemistry and physics. 17(5). 3637–3658. 159 indexed citations

15.

Spracklen, Dominick V., S. R. Arnold, Duncan Borman, et al.. (2016). Impacts of aviation fuel sulfur content on climate and human health. Atmospheric chemistry and physics. 16(16). 10521–10541. 39 indexed citations

16.

Benduhn, François, G. W. Mann, K. J. Pringle, et al.. (2016). Size-resolved simulations of the aerosol inorganic composition with the newhybrid dissolution solver HyDiS-1.0: description, evaluation and firstglobal modelling results. Geoscientific model development. 9(11). 3875–3906. 6 indexed citations

17.

Scott, Catherine E., D. V. Spracklen, Jeffrey R. Pierce, et al.. (2015). Impact of gas-to-particle partitioning approaches on the simulated radiative effects of biogenic secondary organic aerosol. Atmospheric chemistry and physics. 15(22). 12989–13001. 32 indexed citations

18.

Scott, Catherine E., Alexandru Rap, Dominick V. Spracklen, et al.. (2014). The direct and indirect radiative effects of biogenic secondary organic aerosol. Atmospheric chemistry and physics. 14(1). 447–470. 146 indexed citations

19.

Lee, Lindsay, K. J. Pringle, Carly Reddington, et al.. (2013). The magnitude and causes of uncertainty in global model simulations of cloud condensation nuclei. Atmospheric chemistry and physics. 13(17). 8879–8914. 165 indexed citations

20.

Pozzer, Andrea, Alexander de Meij, K. J. Pringle, et al.. (2012). Distributions and regional budgets of aerosols and their precursors simulated with the EMAC chemistry-climate model. Atmospheric chemistry and physics. 12(2). 961–987. 97 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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