C. Jake Harris

1.7k total citations
25 papers, 849 citations indexed

About

C. Jake Harris is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, C. Jake Harris has authored 25 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in C. Jake Harris's work include Plant Molecular Biology Research (12 papers), Plant nutrient uptake and metabolism (6 papers) and Epigenetics and DNA Methylation (4 papers). C. Jake Harris is often cited by papers focused on Plant Molecular Biology Research (12 papers), Plant nutrient uptake and metabolism (6 papers) and Epigenetics and DNA Methylation (4 papers). C. Jake Harris collaborates with scholars based in United States, United Kingdom and China. C. Jake Harris's co-authors include David C. Baulcombe, Steven E. Jacobsen, E.J. Slootweg, Aska Goverse, Olga N. Danilevskaya, Gina Zastrow‐Hayes, Shawn Thatcher, Mary Beatty, Xin Meng and Jeffrey E. Habben and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

C. Jake Harris

23 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Jake Harris United States 14 580 477 45 32 29 25 849
Liu Duan China 13 796 1.4× 486 1.0× 55 1.2× 26 0.8× 21 0.7× 29 1.1k
Yueyang Liang China 19 1.1k 1.9× 478 1.0× 74 1.6× 31 1.0× 33 1.1× 43 1.4k
Jiayou Liu China 13 373 0.6× 325 0.7× 36 0.8× 55 1.7× 29 1.0× 21 707
Simon Bressendorff Denmark 15 821 1.4× 695 1.5× 63 1.4× 57 1.8× 6 0.2× 21 1.3k
Geupil Jang South Korea 17 975 1.7× 707 1.5× 96 2.1× 15 0.5× 12 0.4× 33 1.4k
Abhishek Dass India 8 381 0.7× 497 1.0× 86 1.9× 10 0.3× 11 0.4× 11 713
Shuning Chen China 16 519 0.9× 223 0.5× 77 1.7× 31 1.0× 11 0.4× 49 831
Zhenping Liu China 14 336 0.6× 359 0.8× 45 1.0× 24 0.8× 8 0.3× 27 608
Shanshan Zhang China 14 272 0.5× 541 1.1× 30 0.7× 17 0.5× 12 0.4× 47 769
Daniel Uribe-Vélez Colombia 15 374 0.6× 504 1.1× 61 1.4× 7 0.2× 32 1.1× 39 937

Countries citing papers authored by C. Jake Harris

Since Specialization
Citations

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

Fields of papers citing papers by C. Jake Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Jake Harris

This figure shows the co-authorship network connecting the top 25 collaborators of C. Jake Harris. A scholar is included among the top collaborators of C. Jake Harris 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 C. Jake Harris. C. Jake Harris 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.
Binenbaum, Jenia, Hugh J.L. Fryer, Linhao Xu, et al.. (2025). CRISPR targeting of H3K4me3 activates gene expression and unlocks centromere-proximal crossover recombination in Arabidopsis. Nature Communications. 16(1). 9587–9587.
2.
Xu, Linhao, Yafei Wang, Qin Hu, et al.. (2025). H3K4me3 binding ALFIN-LIKE proteins recruit SWR1 for gene-body deposition of H2A.Z. Genome biology. 26(1). 137–137. 3 indexed citations
4.
Harris, C. Jake, et al.. (2023). H1 restricts euchromatin-associated methylation pathways from heterochromatic encroachment. eLife. 12. 6 indexed citations
5.
Lu, Xinyue, Huiru Yan, Huawei Zhang, et al.. (2023). DDT-RELATED PROTEIN4–IMITATION SWITCH alters nucleosome distribution to relieve transcriptional silencing in Arabidopsis. The Plant Cell. 35(8). 3109–3126. 6 indexed citations
6.
Harris, C. Jake, Anna Amtmann, & Jurriaan Ton. (2023). Epigenetic processes in plant stress priming: Open questions and new approaches. Current Opinion in Plant Biology. 75. 102432–102432. 46 indexed citations
7.
Garg, Vanika, Aamir W. Khan, Kevin Fengler, et al.. (2023). Near‐gapless genome assemblies of Williams 82 and Lee cultivars for accelerating global soybean research. The Plant Genome. 16(4). e20382–e20382. 11 indexed citations
8.
Zhong, Zhenhui, Yan Xue, C. Jake Harris, et al.. (2023). MORC proteins regulate transcription factor binding by mediating chromatin compaction in active chromatin regions. Genome biology. 24(1). 96–96. 17 indexed citations
9.
Kumar, Sandeep, Zhan-Bin Liu, Brian Lenderts, et al.. (2022). Efficient gene targeting in soybean using Ochrobactrum haywardense-mediated delivery of a marker-free donor template. PLANT PHYSIOLOGY. 189(2). 585–594. 11 indexed citations
10.
Xue, Yan, Zhenhui Zhong, C. Jake Harris, et al.. (2021). Arabidopsis MORC proteins function in the efficient establishment of RNA directed DNA methylation. Nature Communications. 12(1). 4292–4292. 34 indexed citations
11.
Xue, Yan, Laixing Zhang, Zhenhui Zhong, et al.. (2021). Mechanism of siRNA production by a plant Dicer-RNA complex in dicing-competent conformation. Science. 374(6571). 1152–1157. 67 indexed citations
12.
Harris, C. Jake, Gundeep Kaur, Suhua Feng, et al.. (2021). MBD5 and MBD6 couple DNA methylation to gene silencing through the J-domain protein SILENZIO. Science. 372(6549). 1434–1439. 55 indexed citations
13.
Liu, Qikun, Sylvain Bischof, C. Jake Harris, et al.. (2020). The characterization of Mediator 12 and 13 as conditional positive gene regulators in Arabidopsis. Nature Communications. 11(1). 2798–2798. 23 indexed citations
14.
Harris, C. Jake, David C. Baulcombe, & Attila Molnár. (2017). Improved Denaturation of Small RNA Duplexes and Its Application for Northern Blotting. Methods in molecular biology. 1580. 1–6. 3 indexed citations
15.
Harris, C. Jake, Dylan Husmann, Wanlu Liu, et al.. (2016). Arabidopsis AtMORC4 and AtMORC7 Form Nuclear Bodies and Repress a Large Number of Protein-Coding Genes. PLoS Genetics. 12(5). e1005998–e1005998. 40 indexed citations
16.
Thatcher, Shawn, Olga N. Danilevskaya, Xin Meng, et al.. (2015). Genome-Wide Analysis of Alternative Splicing during Development and Drought Stress in Maize. PLANT PHYSIOLOGY. 170(1). 586–599. 188 indexed citations
17.
18.
Harris, C. Jake, Attila Molnár, Sebastian Müller, & David C. Baulcombe. (2015). FDF-PAGE: a powerful technique revealing previously undetected small RNAs sequestered by complementary transcripts. Nucleic Acids Research. 43(15). 7590–7599. 25 indexed citations
19.
Smith, Mathew W., Jonathan W. N. Smith, C. Jake Harris, et al.. (2007). Phage display identification of functional binding peptides against 4-acetamidophenol (Paracetamol): An exemplified approach to target low molecular weight organic molecules. Biochemical and Biophysical Research Communications. 358(1). 285–291. 8 indexed citations
20.
Harris, C. Jake, et al.. (1981). Binding of Fibronectin to Clq; Inhibition of Binding by Aggregated IgG. Immunological Communications. 10(7). 601–609. 13 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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