Christopher N. Topp

3.7k total citations
45 papers, 2.4k citations indexed

About

Christopher N. Topp is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Christopher N. Topp has authored 45 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 11 papers in Molecular Biology and 11 papers in Agronomy and Crop Science. Recurrent topics in Christopher N. Topp's work include Plant nutrient uptake and metabolism (23 papers), Plant Molecular Biology Research (12 papers) and Rice Cultivation and Yield Improvement (10 papers). Christopher N. Topp is often cited by papers focused on Plant nutrient uptake and metabolism (23 papers), Plant Molecular Biology Research (12 papers) and Rice Cultivation and Yield Improvement (10 papers). Christopher N. Topp collaborates with scholars based in United States, Austria and Australia. Christopher N. Topp's co-authors include R. Kelly Dawe, Cathy Xiaoyan Zhong, Elizabeth C. McKinney, Richard B. Meagher, Roger B. Deal, Philip N. Benfey, Joshua S. Weitz, Alexander Bucksch, Olga Symonova and Adam L. Bray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Christopher N. Topp

43 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher N. Topp United States 25 2.1k 902 343 225 157 45 2.4k
Anjali S. Iyer‐Pascuzzi United States 27 2.3k 1.1× 501 0.6× 228 0.7× 136 0.6× 159 1.0× 51 2.6k
Fiona Corke United Kingdom 22 1.7k 0.8× 756 0.8× 243 0.7× 136 0.6× 118 0.8× 49 1.9k
Agim Ballvora Germany 26 2.8k 1.3× 440 0.5× 273 0.8× 191 0.8× 246 1.6× 71 3.1k
Surya Kant Australia 27 2.7k 1.3× 744 0.8× 292 0.9× 334 1.5× 261 1.7× 80 3.1k
Brian W. Diers United States 44 5.7k 2.7× 860 1.0× 617 1.8× 535 2.4× 256 1.6× 134 6.1k
Richard W. Ward United States 23 2.5k 1.2× 478 0.5× 653 1.9× 365 1.6× 252 1.6× 56 2.9k
Stijn Dhondt Belgium 29 3.0k 1.4× 1.7k 1.9× 202 0.6× 96 0.4× 383 2.4× 48 3.5k
Jinliang Yang United States 22 1.5k 0.7× 497 0.6× 584 1.7× 121 0.5× 212 1.4× 59 1.9k
Jackie C. Rudd United States 26 2.1k 1.0× 204 0.2× 562 1.6× 384 1.7× 162 1.0× 88 2.2k
Millicent D. Alexandrov Sanciangco Philippines 32 2.8k 1.3× 966 1.1× 1.4k 4.0× 168 0.7× 208 1.3× 73 3.5k

Countries citing papers authored by Christopher N. Topp

Since Specialization
Citations

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

Fields of papers citing papers by Christopher N. Topp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher N. Topp

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher N. Topp. A scholar is included among the top collaborators of Christopher N. Topp 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 N. Topp. Christopher N. Topp 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.
Topp, Christopher N., et al.. (2025). Breeding for high maize yields indirectly boosting root carbon in the US Corn Belt since the 1980s. Field Crops Research. 323. 109774–109774. 6 indexed citations
2.
Czibula, Caterina, et al.. (2025). The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties. Advanced Functional Materials. 35(52).
3.
Topp, Christopher N., et al.. (2024). Do newer maize hybrids grow roots faster and deeper?. Crop Science. 64(3). 1559–1576. 14 indexed citations
4.
Liu, Alexander, et al.. (2024). TopoRoot+: computing whorl and soil line traits of field-excavated maize roots from CT imaging. Plant Methods. 20(1). 132–132. 3 indexed citations
5.
Murphy, Katherine M., Si Nian Char, Bing Yang, et al.. (2023). A dolabralexin-deficient mutant provides insight into specialized diterpenoid metabolism in maize. PLANT PHYSIOLOGY. 192(2). 1338–1358. 5 indexed citations
6.
Griffiths, Marcus, et al.. (2023). Cover crop cultivars and species differ in root traits potentially impacting their selection for ecosystem services. Plant and Soil. 500(1-2). 279–296. 8 indexed citations
7.
Griffiths, Marcus, et al.. (2023). A temporal analysis and response to nitrate availability of 3D root system architecture in diverse pennycress (Thlaspi arvense L.) accessions. Frontiers in Plant Science. 14. 1145389–1145389. 4 indexed citations
8.
Duncan, Keith E., et al.. (2021). X-ray microscopy enables multiscale high-resolution 3D imaging of plant cells, tissues, and organs. PLANT PHYSIOLOGY. 188(2). 831–845. 43 indexed citations
9.
Cox, Kevin L., Sai Guna Ranjan Gurazada, Keith E. Duncan, et al.. (2021). Organizing your space: The potential for integrating spatial transcriptomics and 3D imaging data in plants. PLANT PHYSIOLOGY. 188(2). 703–712. 17 indexed citations
10.
Jiang, Ni, Mao Li, Kevin Lehner, et al.. (2021). Complementary Phenotyping of Maize Root System Architecture by Root Pulling Force and X-Ray Imaging. Plant Phenomics. 2021. 9859254–9859254. 22 indexed citations
11.
Jiang, Ni, et al.. (2019). Three-Dimensional Time-Lapse Analysis Reveals Multiscale Relationships in Maize Root Systems with Contrasting Architectures. The Plant Cell. 31(8). 1708–1722. 35 indexed citations
12.
Li, Mao, Laura L. Klein, Keith E. Duncan, et al.. (2019). Characterizing 3D inflorescence architecture in grapevine using X-ray imaging and advanced morphometrics: implications for understanding cluster density. Journal of Experimental Botany. 70(21). 6261–6276. 23 indexed citations
13.
Li, Mao, Keith E. Duncan, Christopher N. Topp, & Daniel H. Chitwood. (2017). Persistent homology and the branching topologies of plants. American Journal of Botany. 104(3). 349–353. 32 indexed citations
14.
Pauli, Duke, Scott Chapman, Rebecca Bart, et al.. (2016). The quest for understanding phenotypic variation via integrated approaches in the field environment. PLANT PHYSIOLOGY. 172(2). pp.00592.2016–pp.00592.2016. 108 indexed citations
15.
Goggin, Fiona L., Argelia Lorence, & Christopher N. Topp. (2015). Applying high-throughput phenotyping to plant–insect interactions: picturing more resistant crops. Current Opinion in Insect Science. 9. 69–76. 61 indexed citations
16.
Topp, Christopher N., Anjali S. Iyer‐Pascuzzi, Jill T. Anderson, et al.. (2013). 3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture. Proceedings of the National Academy of Sciences. 110(18). E1695–704. 204 indexed citations
17.
Mileyko, Yuriy, Alexander Bucksch, Brad T. Moore, et al.. (2012). GiA Roots: software for the high throughput analysis of plant root system architecture. BMC Plant Biology. 12(1). 116–116. 260 indexed citations
18.
Deal, Roger B., Christopher N. Topp, Elizabeth C. McKinney, & Richard B. Meagher. (2007). Repression of Flowering in Arabidopsis Requires Activation of FLOWERING LOCUS C Expression by the Histone Variant H2A.Z. The Plant Cell. 19(1). 74–83. 247 indexed citations
19.
Topp, Christopher N. & R. Kelly Dawe. (2006). Reinterpreting pericentromeric heterochromatin. Current Opinion in Plant Biology. 9(6). 647–653. 28 indexed citations
20.
Topp, Christopher N., Cathy Xiaoyan Zhong, & R. Kelly Dawe. (2004). Centromere-encoded RNAs are integral components of the maize kinetochore. Proceedings of the National Academy of Sciences. 101(45). 15986–15991. 199 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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