Christopher M. Montes

1.1k total citations
20 papers, 813 citations indexed

About

Christopher M. Montes is a scholar working on Plant Science, Atmospheric Science and Ecology. According to data from OpenAlex, Christopher M. Montes has authored 20 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 9 papers in Atmospheric Science and 8 papers in Ecology. Recurrent topics in Christopher M. Montes's work include Plant responses to elevated CO2 (13 papers), Atmospheric chemistry and aerosols (9 papers) and Remote Sensing in Agriculture (8 papers). Christopher M. Montes is often cited by papers focused on Plant responses to elevated CO2 (13 papers), Atmospheric chemistry and aerosols (9 papers) and Remote Sensing in Agriculture (8 papers). Christopher M. Montes collaborates with scholars based in United States, United Kingdom and Japan. Christopher M. Montes's co-authors include Elizabeth A. Ainsworth, Andrew D. B. Leakey, Carl J. Bernacchi, Patrick J. Brown, Lauren M. McIntyre, Tiago Tomaz, Craig R. Yendrek, Kaiyu Guan, Alison M. Morse and Taylor Pederson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Christopher M. Montes

18 papers receiving 807 citations

Peers

Christopher M. Montes
C. Camino Spain
Olga M. Grant United Kingdom
Heli Li China
Álvaro Sanz‐Sáez United States
Sailaja Koti United States
C. Camino Spain
Christopher M. Montes
Citations per year, relative to Christopher M. Montes Christopher M. Montes (= 1×) peers C. Camino

Countries citing papers authored by Christopher M. Montes

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Montes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Montes. 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 Christopher M. Montes. The network helps show where Christopher M. Montes may publish in the future.

Co-authorship network of co-authors of Christopher M. Montes

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Montes. A scholar is included among the top collaborators of Christopher M. Montes 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 Christopher M. Montes. Christopher M. Montes 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.
Parkash, Ved, John L. Snider, Christopher M. Montes, Elizabeth A. Ainsworth, & Álvaro Sanz‐Sáez. (2025). Hyperspectral reflectance‐based partial least squares regression models for predicting cotton leaf physiological traits. SHILAP Revista de lepidopterología. 8(1).
3.
Montes, Christopher M., et al.. (2024). Seed quality under elevated CO2 differs in soybean cultivars with contrasting yield responses. Global Change Biology. 30(2). 6 indexed citations
4.
Fu, Peng, Christopher M. Montes, & Katherine Meacham‐Hensold. (2024). Hyperspectral Proximal Sensing for Estimating Photosynthetic Capacities at Leaf and Canopy Scales. Methods in molecular biology. 355–372.
5.
Li, Shuai, Andrew D. B. Leakey, Christopher A. Moller, et al.. (2023). Similar photosynthetic but different yield responses of C 3 and C 4 crops to elevated O 3. Proceedings of the National Academy of Sciences. 120(46). e2313591120–e2313591120. 16 indexed citations
6.
Montes, Christopher M., Shuai Li, Carl J. Bernacchi, et al.. (2023). Two decades of fumigation data from the Soybean Free Air Concentration Enrichment facility. Scientific Data. 10(1). 226–226. 7 indexed citations
7.
Montes, Christopher M., Carolyn M. Fox, Álvaro Sanz‐Sáez, et al.. (2022). High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population. Genetics. 221(2). 13 indexed citations
8.
Montes, Christopher M., Christopher A. Moller, Bin Peng, et al.. (2022). Reductions in leaf area index, pod production, seed size, and harvest index drive yield loss to high temperatures in soybean. Journal of Experimental Botany. 74(5). 1629–1641. 29 indexed citations
9.
Fu, Peng, Christopher M. Montes, Matthew H. Siebers, et al.. (2022). Advances in field-based high-throughput photosynthetic phenotyping. Journal of Experimental Botany. 73(10). 3157–3172. 38 indexed citations
10.
Kumagai, Etsushi, Taylor Pederson, Christopher M. Montes, et al.. (2021). Predicting biochemical acclimation of leaf photosynthesis in soybean under in‐field canopy warming using hyperspectral reflectance. Plant Cell & Environment. 45(1). 80–94. 30 indexed citations
11.
Kimm, Hyungsuk, Kaiyu Guan, Chongya Jiang, et al.. (2021). A physiological signal derived from sun-induced chlorophyll fluorescence quantifies crop physiological response to environmental stresses in the U.S. Corn Belt. Environmental Research Letters. 16(12). 124051–124051. 41 indexed citations
12.
Montes, Christopher M., et al.. (2021). Approaches to investigate crop responses to ozone pollution: from O3‐FACE to satellite‐enabled modeling. The Plant Journal. 109(2). 432–446. 37 indexed citations
13.
Meacham‐Hensold, Katherine, Peng Fu, Jin Wu, et al.. (2020). Plot-level rapid screening for photosynthetic parameters using proximal hyperspectral imaging. Journal of Experimental Botany. 71(7). 2312–2328. 74 indexed citations
14.
Montes, Christopher M., et al.. (2020). Assessing diversity in canopy architecture, photosynthesis, and water‐use efficiency in a cowpea magic population. Food and Energy Security. 9(4). e236–e236. 17 indexed citations
15.
Meacham‐Hensold, Katherine, Christopher M. Montes, Jin Wu, et al.. (2019). High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity. Remote Sensing of Environment. 231. 111176–111176. 154 indexed citations
16.
Wertin, Timothy M., Christopher M. Montes, Alison M. Morse, et al.. (2019). Uncovering hidden genetic variation in photosynthesis of field‐grown maize under ozone pollution. Global Change Biology. 25(12). 4327–4338. 33 indexed citations
17.
Bishop, Kristen, et al.. (2018). Similar photosynthetic response to elevated carbon dioxide concentration in species with different phloem loading strategies. Photosynthesis Research. 137(3). 453–464. 12 indexed citations
18.
Yendrek, Craig R., Gorka Erice, Christopher M. Montes, et al.. (2017). Elevated ozone reduces photosynthetic carbon gain by accelerating leaf senescence of inbred and hybrid maize in a genotype‐specific manner. Plant Cell & Environment. 40(12). 3088–3100. 40 indexed citations
19.
Sanz‐Sáez, Álvaro, Robert P. Koester, David M. Rosenthal, et al.. (2017). Leaf and canopy scale drivers of genotypic variation in soybean response to elevated carbon dioxide concentration. Global Change Biology. 23(9). 3908–3920. 30 indexed citations
20.
Yendrek, Craig R., Tiago Tomaz, Christopher M. Montes, et al.. (2016). High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance. PLANT PHYSIOLOGY. 173(1). 614–626. 231 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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