Ivan Baxter

11.0k total citations · 1 hit paper
81 papers, 6.0k citations indexed

About

Ivan Baxter is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Ivan Baxter has authored 81 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 19 papers in Genetics and 13 papers in Molecular Biology. Recurrent topics in Ivan Baxter's work include Plant Micronutrient Interactions and Effects (24 papers), Plant Stress Responses and Tolerance (20 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Ivan Baxter is often cited by papers focused on Plant Micronutrient Interactions and Effects (24 papers), Plant Stress Responses and Tolerance (20 papers) and Genetic Mapping and Diversity in Plants and Animals (18 papers). Ivan Baxter collaborates with scholars based in United States, United Kingdom and Mexico. Ivan Baxter's co-authors include David E. Salt, Brett Lahner, Noah Fahlgren, Malia Gehan, Mary Lou Guerinot, Elena Yakubova, Jeffrey F. Harper, Brian P. Dilkes, Muthukumar Balasubramaniam and Olga Vitek and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ivan Baxter

77 papers receiving 5.9k 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.

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up

2015 481 citations Noah Fahlgren, Malia Gehan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan Baxter United States	40	4.9k	1.4k	733	387	379	81	6.0k
Brett Lahner United States	42	5.5k 1.1×	1.4k 1.0×	444 0.6×	133 0.3×	659 1.7×	47	6.8k
Rupesh Deshmukh India	50	6.5k 1.3×	1.6k 1.1×	442 0.6×	136 0.4×	294 0.8×	190	7.4k
Mark G. M. Aarts Netherlands	45	7.9k 1.6×	2.8k 2.0×	629 0.9×	216 0.6×	1.5k 4.0×	131	9.4k
Ashwani Pareek India	49	6.6k 1.4×	3.1k 2.2×	518 0.7×	197 0.5×	159 0.4×	198	7.9k
Matthew Gilliham Australia	50	8.3k 1.7×	2.1k 1.5×	263 0.4×	218 0.6×	138 0.4×	104	9.1k
M. Margarida Oliveira Portugal	42	4.8k 1.0×	3.0k 2.1×	642 0.9×	161 0.4×	163 0.4×	171	6.1k
Majid R. Foolad United States	41	9.8k 2.0×	2.7k 1.9×	831 1.1×	297 0.8×	158 0.4×	99	11.0k
Sara I. Zandalinas United States	41	6.4k 1.3×	2.8k 2.0×	222 0.3×	253 0.7×	202 0.5×	71	8.3k
John M. Ward United States	55	7.9k 1.6×	3.5k 2.4×	214 0.3×	262 0.7×	357 0.9×	125	9.8k
Chao Xu China	45	4.1k 0.8×	1.1k 0.8×	2.7k 3.7×	149 0.4×	1.2k 3.0×	140	6.8k

Countries citing papers authored by Ivan Baxter

Since Specialization

Citations

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

Fields of papers citing papers by Ivan Baxter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Baxter

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Baxter. A scholar is included among the top collaborators of Ivan Baxter 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 Ivan Baxter. Ivan Baxter 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

Baxter, Ivan, et al.. (2026). Smartphone image capture system and image analysis pipelines enable accurate and efficient phenotyping of spaced plant mapping populations. bioRxiv (Cold Spring Harbor Laboratory).

Prior, Stephen A., G. Brett Runion, Elizabeth A. Ainsworth, et al.. (2025). Investigating the Impact of Elevated CO ₂ on Biomass Accumulation and Mineral Concentration in Foliar and Edible Tissues in Soybeans. Plant Cell & Environment. 48(12). 8712–8726.

Deanna, Rocío, Kwok Pan Chun, Deborah Navarro-Rosenblatt, et al.. (2022). Community voices: the importance of diverse networks in academic mentoring. Nature Communications. 13(1). 1681–1681. 23 indexed citations

Yoshihara, Takeshi, Nathan D. Miller, Fernando A. Rabanal, et al.. (2022). Leveraging orthology within maize and Arabidopsis QTL to identify genes affecting natural variation in gravitropism. Proceedings of the National Academy of Sciences. 119(40). e2212199119–e2212199119. 3 indexed citations

Cousins, Asaph B., et al.. (2021). The genetic architecture of leaf stable carbon isotope composition in Zea mays and the effect of transpiration efficiency on leaf elemental accumulation. G3 Genes Genomes Genetics. 11(9). 3 indexed citations

Paul, Rachel, et al.. (2021). Correlation and co-localization of QTL for stomatal density, canopy temperature, and productivity with and without drought stress inSetaria. Journal of Experimental Botany. 72(13). 5024–5037. 17 indexed citations

Baseggio, Matheus, Nicholas Kaczmar, John P. Hamilton, et al.. (2021). Genome-wide association study suggests an independent genetic basis of zinc and cadmium concentrations in fresh sweet corn kernels. G3 Genes Genomes Genetics. 11(8). 12 indexed citations

Ellsworth, Patrick Z., Max Feldman, Ivan Baxter, & Asaph B. Cousins. (2020). A genetic link between leaf carbon isotope composition and whole‐plant water use efficiency in the C ₄ grass Setaria. The Plant Journal. 102(6). 1234–1248. 23 indexed citations

Feldman, Max, Patrick Z. Ellsworth, Noah Fahlgren, et al.. (2018). Components of Water Use Efficiency Have Unique Genetic Signatures in the Model C ₄ Grass Setaria. PLANT PHYSIOLOGY. 178(2). 699–715. 37 indexed citations

10.

Pauli, Duke, Min Ren, Matthew A. Jenks, et al.. (2018). Multivariate Analysis of the Cotton Seed Ionome Reveals a Shared Genetic Architecture. G3 Genes Genomes Genetics. 8(4). 1147–1160. 10 indexed citations

11.

Schaefer, Robert, Jean‐Michel Michno, Owen A. Hoekenga, et al.. (2018). Integrating Coexpression Networks with GWAS to Prioritize Causal Genes in Maize. The Plant Cell. 30(12). 2922–2942. 111 indexed citations

12.

Köhler, I., Steven C. Huber, Carl J. Bernacchi, & Ivan Baxter. (2018). Increased temperatures may safeguard the nutritional quality of crops under future elevated CO ₂ concentrations. The Plant Journal. 97(5). 872–886. 47 indexed citations

13.

Addo‐Quaye, Charles, et al.. (2017). Forward Genetics by Sequencing EMS Variation-Induced Inbred Lines. G3 Genes Genomes Genetics. 7(2). 413–425. 18 indexed citations

14.

Sawers, Ruairidh J. H., Simon Fiil Svane, Clément Quan, et al.. (2017). Phosphorus acquisition efficiency in arbuscular mycorrhizal maize is correlated with the abundance of root‐external hyphae and the accumulation of transcripts encoding PHT1 phosphate transporters. New Phytologist. 214(2). 632–643. 204 indexed citations

15.

Akmakjian, Garo Z., et al.. (2017). BRUTUS and its paralogs, BTS LIKE1 and BTS LIKE2, encode important negative regulators of the iron deficiency response in Arabidopsis thaliana. Metallomics. 9(7). 876–890. 128 indexed citations

16.

Ziegler, Gregory R., et al.. (2016). The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome. G3 Genes Genomes Genetics. 6(12). 4175–4183. 30 indexed citations

17.

Shakoor, Nadia, Brian P. Dilkes, Zachary Brenton, et al.. (2016). Integration of Experiments across Diverse Environments Identifies the Genetic Determinants of Variation in Sorghum bicolor Seed Element Composition. PLANT PHYSIOLOGY. 170(4). 1989–1998. 44 indexed citations

18.

Sebastián, José, Muh‐Ching Yee, Willian G. Viana, et al.. (2016). Grasses suppress shoot-borne roots to conserve water during drought. Proceedings of the National Academy of Sciences. 113(31). 8861–8866. 87 indexed citations

19.

Tian, Hui, Ivan Baxter, Brett Lahner, et al.. (2010). Arabidopsis NPCC6/NaKR1 Is a Phloem Mobile Metal Binding Protein Necessary for Phloem Function and Root Meristem Maintenance . The Plant Cell. 22(12). 3963–3979. 67 indexed citations

20.

Baxter, Ivan, Olga Vitek, Brett Lahner, et al.. (2008). The leaf ionome as a multivariable system to detect a plant's physiological status. Proceedings of the National Academy of Sciences. 105(33). 12081–12086. 235 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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