Erik H. Murchie

10.9k total citations · 3 hit papers
123 papers, 7.8k citations indexed

About

Erik H. Murchie is a scholar working on Plant Science, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, Erik H. Murchie has authored 123 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Plant Science, 37 papers in Molecular Biology and 25 papers in Global and Planetary Change. Recurrent topics in Erik H. Murchie's work include Plant responses to elevated CO2 (40 papers), Photosynthetic Processes and Mechanisms (32 papers) and Plant Water Relations and Carbon Dynamics (24 papers). Erik H. Murchie is often cited by papers focused on Plant responses to elevated CO2 (40 papers), Photosynthetic Processes and Mechanisms (32 papers) and Plant Water Relations and Carbon Dynamics (24 papers). Erik H. Murchie collaborates with scholars based in United Kingdom, Mexico and Malaysia. Erik H. Murchie's co-authors include Tracy Lawson, Peter Horton, Krishna Niyogi, Alexander V. Ruban, Stella Hubbart, J. Foulkes, Lorna McAusland, Manuel Pinto, Shaobing Peng and Michael P. Pound and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Erik H. Murchie

119 papers receiving 7.6k citations

Hit Papers

Chlorophyll fluorescence ... 2012 2026 2016 2021 2013 2012 2018 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik H. Murchie United Kingdom 41 6.3k 2.3k 1.3k 943 878 123 7.8k
Jie Song China 53 4.3k 0.7× 1.8k 0.8× 1.6k 1.2× 442 0.5× 896 1.0× 260 8.1k
Xin‐Guang Zhu China 42 5.7k 0.9× 3.8k 1.7× 1.5k 1.1× 801 0.8× 505 0.6× 141 8.7k
Xinyou Yin Netherlands 51 6.5k 1.0× 1.3k 0.6× 2.0k 1.5× 1.2k 1.3× 494 0.6× 182 8.1k
Christine A. Raines United Kingdom 47 5.2k 0.8× 3.9k 1.7× 1.3k 1.0× 814 0.9× 608 0.7× 100 7.6k
Stephen D. Tyerman Australia 67 12.2k 1.9× 3.3k 1.5× 1.5k 1.1× 441 0.5× 649 0.7× 205 14.2k
L.F.M. Marcelis Netherlands 53 8.0k 1.3× 1.7k 0.7× 1.5k 1.1× 314 0.3× 527 0.6× 292 9.5k
Tracy Lawson United Kingdom 61 9.4k 1.5× 4.6k 2.0× 3.2k 2.4× 828 0.9× 1.1k 1.3× 188 13.2k
Michael E. Salvucci United States 48 5.8k 0.9× 4.8k 2.1× 1.6k 1.2× 547 0.6× 641 0.7× 115 9.0k
M. A. J. Parry United Kingdom 57 8.5k 1.4× 4.9k 2.1× 1.6k 1.2× 1.8k 1.9× 535 0.6× 205 11.7k
Elizabete Carmo‐Silva United Kingdom 37 3.4k 0.5× 2.1k 0.9× 877 0.7× 490 0.5× 452 0.5× 87 4.6k

Countries citing papers authored by Erik H. Murchie

Since Specialization
Citations

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

Fields of papers citing papers by Erik H. Murchie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik H. Murchie. 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 Erik H. Murchie. The network helps show where Erik H. Murchie may publish in the future.

Co-authorship network of co-authors of Erik H. Murchie

This figure shows the co-authorship network connecting the top 25 collaborators of Erik H. Murchie. A scholar is included among the top collaborators of Erik H. Murchie 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 Erik H. Murchie. Erik H. Murchie 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.
Singh, Ajit, Lawal Billa, Debbie L. Sparkes, et al.. (2024). Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables?. Horticulturae. 10(7). 748–748. 1 indexed citations
2.
Taylor, B F, et al.. (2024). Physiological adaptation to irradiance in duckweeds is species and accession specific and depends on light habitat niche. Journal of Experimental Botany. 75(7). 2046–2063. 10 indexed citations
3.
Murchie, Erik H., et al.. (2023). Water use efficiency responses to fluctuating soil water availability in contrasting commercial sugar beet varieties. Frontiers in Plant Science. 14. 1119321–1119321. 6 indexed citations
4.
Slafer, Gustavo A., J. Foulkes, Matthew Reynolds, et al.. (2022). A ‘wiring diagram’ for sink strength traits impacting wheat yield potential. Journal of Experimental Botany. 74(1). 40–71. 63 indexed citations
5.
McAusland, Lorna, et al.. (2021). Nocturnal stomatal conductance in wheat is growth‐stage specific and shows genotypic variation. New Phytologist. 232(1). 162–175. 15 indexed citations
6.
Durand, Maxime, Erik H. Murchie, Anders V. Lindfors, et al.. (2021). Diffuse solar radiation and canopy photosynthesis in a changing environment. Agricultural and Forest Meteorology. 311. 108684–108684. 120 indexed citations
7.
Ferguson, John N., et al.. (2021). Out of Africa: characterizing the natural variation in dynamic photosynthetic traits in a diverse population of African rice (Oryza glaberrima). Journal of Experimental Botany. 73(10). 3283–3298. 16 indexed citations
8.
Burgess, Alexandra J., et al.. (2020). Interactions between nitrogen nutrition, canopy architecture and photosynthesis in rice, assessed using high-resolution 3D reconstruction. Repository@Nottingham (University of Nottingham). 3(1). 1 indexed citations
9.
Burgess, Alexandra J., et al.. (2020). Photoprotective energy dissipation is greater in the lower, not the upper, regions of a rice canopy: a 3D analysis. Journal of Experimental Botany. 71(22). 7382–7392. 16 indexed citations
10.
Ferguson, John N., et al.. (2020). Rapid temperature responses of photosystem II efficiency forecast genotypic variation in rice vegetative heat tolerance. The Plant Journal. 104(3). 839–855. 38 indexed citations
11.
Pound, Michael P., et al.. (2019). Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(6). 1907–1917. 32 indexed citations
12.
Pound, Michael P., Jonathan A. Atkinson, Alexandra J. Townsend, et al.. (2017). Deep machine learning provides state-of-the-art performance in image-based plant phenotyping. GigaScience. 6(10). 1–10. 246 indexed citations
13.
Pound, Michael P., et al.. (2015). Three-dimensional reconstruction of plant shoots from multiple images using an active vision system. Repository@Nottingham (University of Nottingham). 1 indexed citations
14.
Burgess, Alexandra J., Renata Retkutė, Michael P. Pound, et al.. (2015). High-Resolution Three-Dimensional Structural Data Quantify the Impact of Photoinhibition on Long-Term Carbon Gain in Wheat Canopies in the Field. PLANT PHYSIOLOGY. 169(2). 1192–1204. 54 indexed citations
15.
Kettlewell, P. S., et al.. (2010). Connecting developmental and process physiology to improve yield of draughted wheat with a film antitranspirant.. Aspects of applied biology. 23–24.
16.
Karley, Alison J., Pietro P. M. Iannetta, Tracy A. Valentine, et al.. (2010). Impact of plant traits on nitrogen-efficiency and compartmentation in arable systems.. Aspects of applied biology. 89–96. 1 indexed citations
17.
Weih, Martin, Göran Bergkvist, Xavier Draye, et al.. (2010). Conceptual framework for integrating aspects of nitrogen use efficiency in cereals.. Aspects of applied biology. 195–200. 1 indexed citations
18.
Sylvester‐Bradley, R., Xavier Draye, J. Foulkes, Malcolm J. Hawkesford, & Erik H. Murchie. (2010). Targets, traits and technologies to achieve sustainable productivity with arable crops in the UK.. Aspects of applied biology. 107–114. 2 indexed citations
19.
Foulkes, J., Malcolm J. Hawkesford, Xavier Draye, et al.. (2010). Variation in leaf senescence, nitrogen remobilisation and harvest index in two lines of wheat.. Aspects of applied biology. 233–237. 4 indexed citations
20.
Murchie, Erik H., Manuel Pinto, & Peter Horton. (2008). Agriculture and the new challenges for photosynthesis research. New Phytologist. 181(3). 532–552. 305 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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