John Taylor

17.2k total citations · 2 hit papers
247 papers, 12.5k citations indexed

About

John Taylor is a scholar working on Global and Planetary Change, Atmospheric Science and Molecular Biology. According to data from OpenAlex, John Taylor has authored 247 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Global and Planetary Change, 34 papers in Atmospheric Science and 28 papers in Molecular Biology. Recurrent topics in John Taylor's work include Atmospheric and Environmental Gas Dynamics (21 papers), Atmospheric chemistry and aerosols (18 papers) and Climate variability and models (16 papers). John Taylor is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (21 papers), Atmospheric chemistry and aerosols (18 papers) and Climate variability and models (16 papers). John Taylor collaborates with scholars based in Australia, United States and United Kingdom. John Taylor's co-authors include Jon Lloyd, David J. Erickson, Lee F. Klinger, Thomas Pierce, R. Steinbrecher, Alex Guenther, Raja Krishna Mohan Rao Tallamraju, Chris Geron, W.A. McKay and C. N. Hewitt and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

John Taylor

236 papers receiving 11.6k citations

Hit Papers

A global model of natural... 1994 2026 2004 2015 1995 1994 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Taylor 4.8k 4.4k 1.7k 1.6k 1.4k 247 12.5k
Robert Atlas 4.8k 1.0× 4.4k 1.0× 4.0k 2.4× 1.7k 1.0× 4.1k 2.9× 347 22.9k
Richard J. Williams 4.9k 1.0× 859 0.2× 5.7k 3.4× 2.0k 1.2× 3.1k 2.2× 380 25.5k
S. A. Montzka 10.2k 2.1× 9.7k 2.2× 1.2k 0.7× 832 0.5× 215 0.2× 197 15.4k
David Simpson 3.8k 0.8× 7.3k 1.7× 825 0.5× 3.1k 1.9× 595 0.4× 241 12.1k
Fang Chen 2.2k 0.5× 1.3k 0.3× 1.1k 0.7× 2.0k 1.3× 738 0.5× 556 11.6k
Laurent Li 9.6k 2.0× 6.9k 1.6× 1.5k 0.9× 692 0.4× 283 0.2× 307 14.1k
Yao Zhang 7.2k 1.5× 2.5k 0.6× 3.8k 2.3× 1.2k 0.7× 629 0.4× 320 12.0k
Minghua Zhang 12.1k 2.5× 10.9k 2.5× 1.7k 1.1× 1.6k 1.0× 581 0.4× 384 21.6k
Michel Legrand 6.3k 1.3× 14.3k 3.2× 3.4k 2.1× 5.3k 3.2× 4.5k 3.2× 308 23.8k
Xin Li 9.9k 2.1× 10.7k 2.4× 3.5k 2.1× 1.2k 0.8× 784 0.6× 1.1k 26.7k

Countries citing papers authored by John Taylor

Since Specialization
Citations

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

Fields of papers citing papers by John Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of John Taylor. A scholar is included among the top collaborators of John Taylor 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 John Taylor. John Taylor 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.
Ting, Yuan-Sen, L. Casagrande, Fan Liu, et al.. (2025). C3PO – IV. Co-natal stars depleted in refractories are magnetically more active – possible imprints of planets. Monthly Notices of the Royal Astronomical Society. 538(4). 2408–2420. 1 indexed citations
2.
3.
Hoefler, Torsten, Björn Stevens, Andreas F. Prein, et al.. (2023). Earth Virtualization Engines: A Technical Perspective. Computing in Science & Engineering. 25(3). 50–59. 6 indexed citations
4.
Wang, Wenyi, Kilian Vos, John Taylor, et al.. (2023). Is deep learning superior to traditional techniques in machine health monitoring applications. The Aeronautical Journal. 127(1318). 2105–2117. 4 indexed citations
5.
Matear, Richard J., et al.. (2023). A precipitation downscaling method using a super-resolution deconvolution neural network with step orography. SHILAP Revista de lepidopterología. 2. 9 indexed citations
6.
Taylor, John, Pablo Larraondo, & Bronis R. de Supinski. (2021). Data-driven global weather predictions at high resolutions. The International Journal of High Performance Computing Applications. 36(2). 130–140. 5 indexed citations
7.
Schierding, William, Richard Saffery, Jo K. Perry, et al.. (2021). Identifying the lungs as a susceptible site for allele-specific regulatory changes associated with type 1 diabetes risk. Communications Biology. 4(1). 1072–1072. 5 indexed citations
8.
Lucey, P. G., M. Lemelin, M. Ohtake, et al.. (2016). Global High Resolution Mineral Maps Of The Moon Using Data From the Kaguya Multiband Imager and LRO Diviner Lunar Radiometer. AGUFM. 1 indexed citations
9.
Jones, Emlyn, Mark E. Baird, Mathieu Mongin, et al.. (2016). Use of remote-sensing reflectance to constrain a data assimilating marine biogeochemical model of the Great Barrier Reef. Biogeosciences. 13(23). 6441–6469. 46 indexed citations
10.
Yang, Sam, Yudan Wang, S. C. Mayo, et al.. (2014). 3D microstructure characterisation of tight reservoir rocks and effective recoverable reserve estimation. The APPEA Journal. 54(2). 539–539.
11.
Thompson, Darren, et al.. (2011). Rapid CT reconstruction on GPU-enabled HPC clusters. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 2 indexed citations
12.
Bednarz, Tomasz, et al.. (2011). Computational Fluid Dynamics using OpenCL – a practical introduction. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 1 indexed citations
13.
Gureyev, Timur E., Yakov I. Nesterets, Darren Thompson, et al.. (2011). Toolbox for advanced x-ray image processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8141. 81410B–81410B. 66 indexed citations
14.
Taylor, John, et al.. (2006). PSPICE models of excitable membranes. 1 indexed citations
15.
Taylor, John, et al.. (2000). Geographic Information Systems (GIS) in public administrationc An introduction to a series of articles. 6(3). 127–129. 3 indexed citations
16.
Taylor, John, et al.. (1999). GREENHOUSE GAS EMISSION ABATEMENT : EQUITABLE BURDEN SHARING. AMBIO. 28(2). 148–151. 2 indexed citations
17.
Thomas, G., John Taylor, & Gavin Wood. (1997). Mapping yield potential with remote sensing. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 40 indexed citations
18.
Walker, Susan, et al.. (1997). Fayum : misteriosi volti dall'Egitto. 1 indexed citations
19.
Taylor, John, et al.. (1993). Electronic Agricultural Auctions in the United Kingdom.. Electronic Markets. 3. 27–28. 7 indexed citations
20.
Taylor, John, et al.. (1985). Planar dipole-fed mixer arrays for imaging at millimeter and submillimeter wavelengths. 187–189. 1 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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