Stephen Emmott

2.4k total citations
24 papers, 1.5k citations indexed

About

Stephen Emmott is a scholar working on Molecular Biology, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Stephen Emmott has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Global and Planetary Change and 4 papers in Ecological Modeling. Recurrent topics in Stephen Emmott's work include Gene Regulatory Network Analysis (5 papers), Species Distribution and Climate Change (4 papers) and Climate variability and models (3 papers). Stephen Emmott is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Species Distribution and Climate Change (4 papers) and Climate variability and models (3 papers). Stephen Emmott collaborates with scholars based in United Kingdom, United States and Germany. Stephen Emmott's co-authors include Boyan Yordanov, Sara-Jane Dunn, Graziano Martello, Austin Smith, Andrew Phillips, Drew W. Purves, Alex W. Chin, Celestino Creatore, Tim Newbold and Derek P. Tittensor and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Stephen Emmott

24 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Emmott United Kingdom 18 659 232 232 225 176 24 1.5k
Stefan Schmidt Germany 30 870 1.3× 236 1.0× 80 0.3× 502 2.2× 110 0.6× 149 2.9k
Sarah A. Boyle United States 18 469 0.7× 173 0.7× 516 2.2× 703 3.1× 495 2.8× 50 2.2k
Alex James New Zealand 24 785 1.2× 159 0.7× 589 2.5× 735 3.3× 463 2.6× 89 2.9k
Jan Christoph Thiele Germany 17 134 0.2× 86 0.4× 256 1.1× 175 0.8× 127 0.7× 26 1.3k
Ira Cooke Australia 24 1.0k 1.6× 30 0.1× 257 1.1× 667 3.0× 144 0.8× 77 2.1k
Jacopo Grilli Italy 24 705 1.1× 80 0.3× 288 1.2× 432 1.9× 288 1.6× 51 2.2k
Andrew P. French United Kingdom 24 593 0.9× 46 0.2× 93 0.4× 741 3.3× 21 0.1× 112 3.4k
Joji M. Otaki Japan 30 509 0.8× 59 0.3× 608 2.6× 204 0.9× 81 0.5× 114 2.8k
Stanley N. Salthe United States 25 283 0.4× 123 0.5× 793 3.4× 420 1.9× 332 1.9× 88 2.7k
Thilo Groß Germany 32 653 1.0× 55 0.2× 460 2.0× 321 1.4× 198 1.1× 91 4.1k

Countries citing papers authored by Stephen Emmott

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Emmott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Emmott

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Emmott. A scholar is included among the top collaborators of Stephen Emmott 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 Stephen Emmott. Stephen Emmott 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.
Yordanov, Boyan, Sara-Jane Dunn, Hillel Kugler, et al.. (2016). A method to identify and analyze biological programs through automated reasoning. npj Systems Biology and Applications. 2(1). 22 indexed citations
2.
Berezin, Sergey, et al.. (2016). Universal, easy access to geotemporal information: FetchClimate. Ecography. 39(9). 904–911. 16 indexed citations
3.
McInerny, Greg, et al.. (2015). Scientists and software – surveying the species distribution modelling community. Diversity and Distributions. 21(3). 258–267. 69 indexed citations
4.
Bailey, A.G., Neil Dalchau, Rachel Carter, et al.. (2015). Selector function of MHC I molecules is determined by protein plasticity. Scientific Reports. 5(1). 14928–14928. 54 indexed citations
5.
Harfoot, Michael, Tim Newbold, Derek P. Tittensor, et al.. (2014). Emergent Global Patterns of Ecosystem Structure and Function from a Mechanistic General Ecosystem Model. PLoS Biology. 12(4). e1001841–e1001841. 139 indexed citations
6.
Yordanov, Boyan, Neil Dalchau, Paul K. Grant, et al.. (2014). A Computational Method for Automated Characterization of Genetic Components. ACS Synthetic Biology. 3(8). 578–588. 20 indexed citations
7.
Smith, Matthew J., Paul I. Palmer, Drew W. Purves, et al.. (2014). Changing How Earth System Modeling is Done to Provide More Useful Information for Decision Making, Science, and Society. Bulletin of the American Meteorological Society. 95(9). 1453–1464. 21 indexed citations
8.
Dunn, Sara-Jane, Graziano Martello, Boyan Yordanov, Stephen Emmott, & Austin Smith. (2014). Defining an essential transcription factor program for naïve pluripotency. Science. 344(6188). 1156–1160. 273 indexed citations
9.
Creatore, Celestino, M. A. Parker, Stephen Emmott, & Alex W. Chin. (2013). Efficient Biologically Inspired Photocell Enhanced by Delocalized Quantum States. Physical Review Letters. 111(25). 253601–253601. 116 indexed citations
10.
Purves, Drew W., et al.. (2013). The climate dependence of the terrestrial carbon cycle, including parameter and structural uncertainties. Biogeosciences. 10(1). 583–606. 43 indexed citations
11.
Purves, Drew W., Jörn P. W. Scharlemann, Mike Harfoot, et al.. (2013). Time to model all life on Earth. Nature. 493(7432). 295–297. 110 indexed citations
12.
Joppa, Lucas, Greg McInerny, Richard Harper, et al.. (2013). Troubling Trends in Scientific Software Use. Science. 340(6134). 814–815. 129 indexed citations
13.
Dalchau, Neil, Matthew J. Smith, Samuel Martín, et al.. (2012). Towards the rational design of synthetic cells with prescribed population dynamics. Journal of The Royal Society Interface. 9(76). 2883–2898. 8 indexed citations
14.
Chen, Chih‐Chun, et al.. (2011). How neurons migrate: a dynamic in-silico model of neuronal migration in the developing cortex. BMC Systems Biology. 5(1). 154–154. 17 indexed citations
15.
Dalchau, Neil, Andrew Phillips, Leonard D. Goldstein, et al.. (2011). A Peptide Filtering Relation Quantifies MHC Class I Peptide Optimization. PLoS Computational Biology. 7(10). e1002144–e1002144. 68 indexed citations
16.
Lakin, Matthew R., et al.. (2011). Visual DSD: a design and analysis tool for DNA strand displacement systems. Bioinformatics. 27(22). 3211–3213. 130 indexed citations
17.
Emmott, Stephen. (2008). Preservation of Web Resources: Making a Start. Ariadne. 1 indexed citations
18.
Stepney, Susan & Stephen Emmott. (2007). Grand Challenge in Non-Classical Computation.. International journal of unconventional computing. 3. 159–160. 1 indexed citations
19.
Cox, Andrew & Stephen Emmott. (2007). A survey of UK university web management: staffing, systems and issues. Campus-Wide Information Systems. 24(5). 308–330. 8 indexed citations
20.
Emmott, Stephen, et al.. (1995). Information superhighways: multimedia users and futures. 21 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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