Erik J. Sacks

3.4k total citations
79 papers, 1.6k citations indexed

About

Erik J. Sacks is a scholar working on Plant Science, Agronomy and Crop Science and Biomedical Engineering. According to data from OpenAlex, Erik J. Sacks has authored 79 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Plant Science, 42 papers in Agronomy and Crop Science and 33 papers in Biomedical Engineering. Recurrent topics in Erik J. Sacks's work include Bioenergy crop production and management (42 papers), Biofuel production and bioconversion (33 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Erik J. Sacks is often cited by papers focused on Bioenergy crop production and management (42 papers), Biofuel production and bioconversion (33 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Erik J. Sacks collaborates with scholars based in United States, Japan and China. Erik J. Sacks's co-authors include Lindsay V. Clark, Toshihiko Yamada, Chang Yeon Yu, Xiaoli Jin, Junhua Peng, David M. Francis, Alexander E. Lipka, Chunhai Shi, Douglas V. Shaw and John A. Juvik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Erik J. Sacks

78 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
Erik J. Sacks United States 24 1.0k 535 497 248 232 79 1.6k
J. F. Pedersen United States 16 652 0.6× 837 1.6× 422 0.8× 356 1.4× 151 0.7× 30 1.5k
Leonardo Lopes Bhering Brazil 22 1.5k 1.5× 172 0.3× 183 0.4× 186 0.8× 440 1.9× 158 1.9k
Hai‐Chun Jing China 26 1.8k 1.8× 448 0.8× 206 0.4× 956 3.9× 442 1.9× 58 2.3k
R. Sanderson United Kingdom 21 627 0.6× 469 0.9× 175 0.4× 128 0.5× 197 0.8× 70 1.5k
Amaresh Chandra India 21 1.4k 1.4× 130 0.2× 249 0.5× 381 1.5× 111 0.5× 135 1.8k
Vanessa Martos Spain 24 1.1k 1.1× 359 0.7× 144 0.3× 157 0.6× 127 0.5× 35 1.5k
Luíz Antônio dos Santos Dias Brazil 25 1.7k 1.7× 124 0.2× 212 0.4× 331 1.3× 215 0.9× 161 2.1k
Chunyan Li China 23 1.1k 1.1× 402 0.8× 105 0.2× 158 0.6× 56 0.2× 80 1.5k
Karen Koefoed Petersen Denmark 19 730 0.7× 266 0.5× 231 0.5× 339 1.4× 46 0.2× 45 1.0k
David Pot France 30 1.1k 1.1× 223 0.4× 109 0.2× 591 2.4× 450 1.9× 67 2.1k

Countries citing papers authored by Erik J. Sacks

Since Specialization
Citations

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

Fields of papers citing papers by Erik J. Sacks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik J. Sacks

This figure shows the co-authorship network connecting the top 25 collaborators of Erik J. Sacks. A scholar is included among the top collaborators of Erik J. Sacks 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 J. Sacks. Erik J. Sacks 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.
Varela, Sebastián, et al.. (2025). Breaking the barrier of human-annotated training data for machine learning-aided plant research using aerial imagery. PLANT PHYSIOLOGY. 197(4). 2 indexed citations
2.
3.
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
4.
Ji, Niu‐Niu, Di Liang, Lindsay V. Clark, Erik J. Sacks, & Angela D. Kent. (2023). Host genetic variation drives the differentiation in the ecological role of the native Miscanthus root-associated microbiome. Microbiome. 11(1). 216–216. 16 indexed citations
5.
6.
Li, Shuai, et al.. (2022). Testing unified theories for ozone response in C 4 species. Global Change Biology. 28(10). 3379–3393. 12 indexed citations
7.
Varela, Sebastián, et al.. (2022). Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to Phenotype Key Traits in Miscanthus. Remote Sensing. 14(21). 5333–5333. 4 indexed citations
8.
Li, Shuai, Christopher A. Moller, Erik J. Sacks, et al.. (2022). The leaf economics spectrum of triploid and tetraploid C4 grass Miscanthus x giganteus. Plant Cell & Environment. 45(12). 3462–3475. 8 indexed citations
9.
Trieu, Anthony, Rebecca L. Billingsley, Erik J. Sacks, et al.. (2022). Transformation and gene editing in the bioenergy grass Miscanthus. SHILAP Revista de lepidopterología. 15(1). 148–148. 7 indexed citations
10.
Dong, Hongxu, Lindsay V. Clark, Xiaoli Jin, et al.. (2021). Managing flowering time in Miscanthus and sugarcane to facilitate intra- and intergeneric crosses. PLoS ONE. 16(1). e0240390–e0240390. 10 indexed citations
11.
Nagano, Hironori, Lindsay V. Clark, Hua Zhao, et al.. (2015). Contrasting allelic distribution ofCO/Hd1homologues inMiscanthus sinensisfrom the East Asian mainland and the Japanese archipelago. Journal of Experimental Botany. 66(14). 4227–4237. 3 indexed citations
12.
Clark, Lindsay V., J. Ryan Stewart, Aya Nishiwaki, et al.. (2015). Genetic structure ofMiscanthus sinensisandMiscanthus sacchariflorusin Japan indicates a gradient of bidirectional but asymmetric introgression. Journal of Experimental Botany. 66(14). 4213–4225. 55 indexed citations
13.
Chae, Won Byoung, et al.. (2014). Plant morphology, genome size, and SSR markers differentiate five distinct taxonomic groups among accessions in the genus Miscanthus. GCB Bioenergy. 6(6). 646–660. 48 indexed citations
14.
Seong, Eun Soo, Ji Hye Yoo, Jae Geun Lee, et al.. (2013). Transient overexpression of the 'Miscanthus sinensis' glucose-6-phosphate isomerase gene ('MsGPI') in 'Nicotiana benthamiana' enhances expression of genes related to antioxidant metabolism. Plant Omics. 6(6). 408–414. 3 indexed citations
15.
Ding, Zaisong, et al.. (2010). Photosynthetic characteristics in Oryza species. Photosynthetica. 48(2). 234–240. 23 indexed citations
16.
17.
Sacks, Erik J. & A. F. Robinson. (2007). Development of trispecies backcross populations using a 2(ADD) hexaploid bridging line to introgress genes from A-genome diploids in upland cotton.. 4 indexed citations
18.
Sacks, Erik J. & Dina A. St. Clair. (1996). Cryogenic Storage of Tomato Pollen: Effect on Fecundity. HortScience. 31(3). 447–448. 15 indexed citations
19.
Sacks, Erik J. & Douglas V. Shaw. (1993). Color Change in Fresh Strawberry Fruit of Seven Genotypes Stored at 0C. HortScience. 28(3). 209–210. 27 indexed citations
20.
Sacks, Erik J. & Douglas V. Shaw. (1992). OPTIMUM ALLOCATION OF OBJECTIVE COLOR MEASUREMENTS FOR EVALUATING FRESH STRAWBERRY FRUIT. HortScience. 27(6). 601b–601. 1 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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