Stephen Jackson

4.1k total citations
52 papers, 2.2k citations indexed

About

Stephen Jackson is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Stephen Jackson has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 32 papers in Molecular Biology and 7 papers in Food Science. Recurrent topics in Stephen Jackson's work include Plant Molecular Biology Research (24 papers), Light effects on plants (16 papers) and Plant Reproductive Biology (13 papers). Stephen Jackson is often cited by papers focused on Plant Molecular Biology Research (24 papers), Light effects on plants (16 papers) and Plant Reproductive Biology (13 papers). Stephen Jackson collaborates with scholars based in United Kingdom, China and United States. Stephen Jackson's co-authors include Salomé Prat, Yiguo Hong, Brian Thomas, Esther Carrera, Isabelle A. Carré, Karl Morris, Arnd G. Heyer, Chunyang Li, Lothar Willmitzer and Nongnong Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and The Plant Cell.

In The Last Decade

Stephen Jackson

51 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Jackson United Kingdom 24 1.8k 1.1k 368 121 110 52 2.2k
Michael F. Covington United States 20 3.0k 1.6× 1.9k 1.8× 64 0.2× 222 1.8× 107 1.0× 25 3.4k
Hernán E. Boccalandro Argentina 16 1.2k 0.6× 658 0.6× 59 0.2× 147 1.2× 53 0.5× 19 1.3k
Marcel Quint Germany 31 2.7k 1.5× 2.0k 1.8× 50 0.1× 139 1.1× 84 0.8× 56 3.2k
José M. Jiménez‐Gómez France 27 2.1k 1.1× 1.5k 1.3× 91 0.2× 131 1.1× 51 0.5× 50 2.5k
Joel A. Kreps United States 14 3.8k 2.0× 2.7k 2.4× 59 0.2× 99 0.8× 75 0.7× 17 4.3k
Steven Penfield United Kingdom 27 2.8k 1.5× 1.7k 1.6× 47 0.1× 128 1.1× 46 0.4× 39 3.2k
Maria E. Eriksson Sweden 23 1.9k 1.0× 1.4k 1.3× 51 0.1× 129 1.1× 91 0.8× 37 2.3k
Keara A. Franklin United Kingdom 29 5.1k 2.8× 3.2k 2.9× 55 0.1× 311 2.6× 107 1.0× 42 5.5k
Daniel G. Zarka United States 14 3.6k 2.0× 2.4k 2.2× 94 0.3× 82 0.7× 109 1.0× 20 4.0k
Sarah Fowler United States 9 4.3k 2.3× 2.9k 2.6× 49 0.1× 88 0.7× 68 0.6× 9 4.6k

Countries citing papers authored by Stephen Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Jackson. A scholar is included among the top collaborators of Stephen Jackson 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 Stephen Jackson. Stephen Jackson 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.
Li, Jie, Pengcheng Zhang, Mahmut Tör, et al.. (2024). Antiviral defense in plant stem cells. Trends in Plant Science. 29(9). 955–957. 2 indexed citations
2.
Yu, Zhiming, Yue Wang, Pengcheng Zhang, et al.. (2022). Spinach-based RNA mimicking GFP in plant cells. Functional & Integrative Genomics. 22(3). 423–428. 1 indexed citations
4.
Zhang, Xian, Lihua Kang, Qi Zhang, et al.. (2019). An RNAi suppressor activates in planta virus–mediated gene editing. Functional & Integrative Genomics. 20(4). 471–477. 23 indexed citations
5.
Cheng, Qin, Ke Zhang, Yuan Chen, et al.. (2017). A Virus-Induced Assay for Functional Dissection and Analysis of Monocot and Dicot Flowering Time Genes. PLANT PHYSIOLOGY. 174(2). 875–885. 9 indexed citations
6.
Massiah, Andrea, et al.. (2017). FLC expression is down-regulated by cold treatment in Diplotaxis tenuifolia (wild rocket), but flowering time is unaffected. Journal of Plant Physiology. 214. 7–15. 4 indexed citations
7.
Cheng, Qin, Bin Li, Xian Zhang, et al.. (2017). Roles of Dicer-Like Proteins 2 and 4 in Intra- and Intercellular Antiviral Silencing. PLANT PHYSIOLOGY. 174(2). 1067–1081. 53 indexed citations
8.
Jackson, Stephen, et al.. (2014). The role of microRNAs in the control of flowering time. Journal of Experimental Botany. 65(2). 365–380. 159 indexed citations
9.
Zhang, Hang, Tongfei Lai, Qin Cheng, et al.. (2012). Virus-induced gene complementation reveals a transcription factor network in modulation of tomato fruit ripening. Scientific Reports. 2(1). 836–836. 31 indexed citations
10.
Jackson, Stephen & Yiguo Hong. (2012). Systemic movement of FT mRNA and a possible role in floral induction. Frontiers in Plant Science. 3. 127–127. 23 indexed citations
11.
Li, Chunyang, Mei Gu, Nongnong Shi, et al.. (2011). Mobile FT mRNA contributes to the systemic florigen signalling in floral induction. Scientific Reports. 1(1). 73–73. 78 indexed citations
12.
Morris, Karl, et al.. (2010). DAY NEUTRAL FLOWERING Represses CONSTANS to Prevent Arabidopsis Flowering Early in Short Days . The Plant Cell. 22(4). 1118–1128. 48 indexed citations
13.
Li, Chunyang, Ke Zhang, Xianwu Zeng, et al.. (2009). A cis Element within Flowering Locus T mRNA Determines Its Mobility and Facilitates Trafficking of Heterologous Viral RNA. Journal of Virology. 83(8). 3540–3548. 90 indexed citations
14.
Jackson, Stephen. (2008). Plant responses to photoperiod. New Phytologist. 181(3). 517–531. 257 indexed citations
15.
Franklin, Keara A., Philip J. Linley, Beronda L. Montgomery, et al.. (2003). Misregulation of tetrapyrrole biosynthesis in transgenic tobacco seedlings expressing mammalian biliverdin reductase. The Plant Journal. 35(6). 717–728. 12 indexed citations
16.
Adams, Sally, et al.. (2003). Using Flowering Times and Leaf Numbers to Model the Phases of Photoperiod Sensitivity in Antirrhinum majus L.. Annals of Botany. 92(5). 689–696. 17 indexed citations
17.
Jackson, Stephen, Jordi Gascón, Esther Carrera, Elena Monte, & Salomé Prat. (1997). Cloning and expression analysis of a gene that shows developmental regulation upon tuberization in potato. Plant Molecular Biology. 33(1). 169–174. 4 indexed citations
18.
Jackson, Stephen & Lothar Willmitzer. (1994). Jasmonic acid spraying does not induce tuberisation in short-day-requiring potato species kept in non-inducing conditions. Planta. 194(2). 155–159. 29 indexed citations
19.
Jackson, Stephen, Uwe Sonnewald, & Lothar Willmitzer. (1993). Cloning and expression analysis of β-isopropylmalate dehydrogenase from potato. Molecular and General Genetics MGG. 236-236(2-3). 309–314. 21 indexed citations
20.
Jackson, Stephen & R. B. Flavell. (1992). Protein-binding to reiterated motifs within the wheat rRNA gene promoter and upstream repeats. Plant Molecular Biology. 20(5). 911–919. 12 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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