Jeffrey C. Berry

1.5k total citations
25 papers, 792 citations indexed

About

Jeffrey C. Berry is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Jeffrey C. Berry has authored 25 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Jeffrey C. Berry's work include Plant-Microbe Interactions and Immunity (7 papers), Plant Pathogenic Bacteria Studies (7 papers) and Banana Cultivation and Research (4 papers). Jeffrey C. Berry is often cited by papers focused on Plant-Microbe Interactions and Immunity (7 papers), Plant Pathogenic Bacteria Studies (7 papers) and Banana Cultivation and Research (4 papers). Jeffrey C. Berry collaborates with scholars based in United States, Netherlands and South Korea. Jeffrey C. Berry's co-authors include Rebecca Bart, Noah Fahlgren, Kira M. Veley, Arash Abbasi, Kerrigan B. Gilbert, Mark C. Wilson, Andrew M. Mutka, Malia Gehan, Leonardo Chavez and Argelia Lorence and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jeffrey C. Berry

24 papers receiving 780 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey C. Berry United States 17 530 191 127 69 63 25 792
Yu Xu China 18 675 1.3× 399 2.1× 88 0.7× 39 0.6× 143 2.3× 60 1.1k
Tian Tang China 13 267 0.5× 319 1.7× 65 0.5× 78 1.1× 232 3.7× 29 741
Md. Matiur Rahaman Bangladesh 8 234 0.4× 209 1.1× 100 0.8× 30 0.4× 52 0.8× 15 498
Д. А. Афонников Russia 20 617 1.2× 483 2.5× 127 1.0× 11 0.2× 158 2.5× 113 1.1k
Zheng Zheng China 22 1.5k 2.8× 330 1.7× 141 1.1× 22 0.3× 62 1.0× 76 1.6k
Caroline Le Gall France 7 107 0.2× 666 3.5× 75 0.6× 99 1.4× 98 1.6× 10 1.0k
Mario Drungowski Germany 11 132 0.2× 467 2.4× 112 0.9× 36 0.5× 81 1.3× 16 709
Étienne Lord Canada 14 182 0.3× 171 0.9× 37 0.3× 43 0.6× 58 0.9× 26 638
Sylvaine Renault France 20 412 0.8× 473 2.5× 74 0.6× 51 0.7× 167 2.7× 49 974
Jeffrey Chu Canada 14 199 0.4× 560 2.9× 65 0.5× 41 0.6× 220 3.5× 32 1.1k

Countries citing papers authored by Jeffrey C. Berry

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey C. Berry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey C. Berry. 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 Jeffrey C. Berry. The network helps show where Jeffrey C. Berry may publish in the future.

Co-authorship network of co-authors of Jeffrey C. Berry

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey C. Berry. A scholar is included among the top collaborators of Jeffrey C. Berry 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 Jeffrey C. Berry. Jeffrey C. Berry 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.
Wang, Qi, Kira M. Veley, Gijs van Erven, et al.. (2025). Three Xanthomonas Cell Wall Degrading Enzymes and Sorghum Brown midrib12 Contribute to Virulence and Resistance in the Bacterial Leaf Streak Pathosystem. Molecular Plant-Microbe Interactions. 38(3). 400–410.
2.
Nagy, É., Ian Davis, Shanshan Song, et al.. (2025). Computationally derived RNA polymerase III promoters enable maize genome editing. Frontiers in Plant Science. 16. 1540425–1540425. 3 indexed citations
3.
Veley, Kira M., Zhenhui Zhong, Suhua Feng, et al.. (2023). Improving cassava bacterial blight resistance by editing the epigenome. Nature Communications. 14(1). 85–85. 53 indexed citations
4.
Berry, Jeffrey C., et al.. (2023). Natural variation in Brachypodium distachyon responses to combined abiotic stresses. The Plant Journal. 117(6). 1676–1701. 5 indexed citations
5.
Qi, Mingsheng, Jeffrey C. Berry, Kira M. Veley, et al.. (2022). Identification of beneficial and detrimental bacteria impacting sorghum responses to drought using multi-scale and multi-system microbiome comparisons. The ISME Journal. 16(8). 1957–1969. 59 indexed citations
6.
Berry, Jeffrey C., Mingsheng Qi, Balasaheb V. Sonawane, et al.. (2022). Increased signal-to-noise ratios within experimental field trials by regressing spatially distributed soil properties as principal components. eLife. 11. 4 indexed citations
7.
Berry, Jeffrey C., et al.. (2022). A comparison of ImageJ and machine learning based image analysis methods to measure cassava bacterial blight disease severity. Plant Methods. 18(1). 86–86. 16 indexed citations
8.
Tovar, José C., et al.. (2022). Heat stress changes mineral nutrient concentrations inChenopodium quinoaseed. Plant Direct. 6(2). e384–e384. 10 indexed citations
9.
Mansfeld, Ben N., Jeffrey C. Berry, Mark C. Wilson, et al.. (2021). Large structural variations in the haplotype‐resolved African cassava genome. The Plant Journal. 108(6). 1830–1848. 19 indexed citations
10.
Wortel, Inge M. N., et al.. (2021). CelltrackR: An R package for fast and flexible analysis of immune cell migration data. SHILAP Revista de lepidopterología. 1-2. 100003–100003. 33 indexed citations
11.
Lyons, Jessica B., Jessen V. Bredeson, Ben N. Mansfeld, et al.. (2021). Current status and impending progress for cassava structural genomics. Plant Molecular Biology. 109(3). 177–191. 19 indexed citations
12.
Fahlgren, Noah, et al.. (2019). Antiviral ARGONAUTEs Against Turnip Crinkle Virus Revealed by Image-Based Trait Analysis. PLANT PHYSIOLOGY. 180(3). 1418–1435. 18 indexed citations
13.
Kabir, Ashraf Ul, Tae‐Jin Lee, Hua Pan, et al.. (2018). Requisite endothelial reactivation and effective siRNA nanoparticle targeting of Etv2/Er71 in tumor angiogenesis. JCI Insight. 3(8). 18 indexed citations
14.
Berry, Jeffrey C., et al.. (2018). An automated, high-throughput method for standardizing image color profiles to improve image-based plant phenotyping. PeerJ. 6. e5727–e5727. 29 indexed citations
15.
Wilson, Mark C., Andrew M. Mutka, Aaron W. Hummel, et al.. (2017). Gene expression atlas for the food security crop cassava. New Phytologist. 213(4). 1632–1641. 82 indexed citations
16.
Nishi, Hiroshi, Kazuhiro Furuhashi, Xavier Culleré, et al.. (2017). Neutrophil FcγRIIA promotes IgG-mediated glomerular neutrophil capture via Abl/Src kinases. Journal of Clinical Investigation. 127(10). 3810–3826. 50 indexed citations
17.
Berry, Jeffrey C., et al.. (2017). Genomics-enabled analysis of the emergent disease cotton bacterial blight. PLoS Genetics. 13(9). e1007003–e1007003. 33 indexed citations
18.
Mutka, Andrew M., Sarah J. Fentress, Joel W. Sher, et al.. (2016). Quantitative, image-based phenotyping methods provide insight into spatial and temporal dimensions of plant disease. PLANT PHYSIOLOGY. 172(2). pp.00984.2016–pp.00984.2016. 31 indexed citations
19.
Glickman, Randolph D., et al.. (2013). Effect of Storage Temperature and Antioxidant Concentration on Catecholamine Stability. Investigative Ophthalmology & Visual Science. 54(15). 6332–6332. 1 indexed citations
20.
Huang, Man, et al.. (2002). Mast Cell Deficient W/WvMice Lack Stress-Induced Increase in Serum IL-6 Levels, as Well as in Peripheral CRH and Vascular Permeability, a Model of Rheumatoid Arthritis. International Journal of Immunopathology and Pharmacology. 15(3). 249–254. 37 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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