Julia Foreman

4.3k total citations · 1 hit paper
24 papers, 3.1k citations indexed

About

Julia Foreman is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Julia Foreman has authored 24 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Plant Science and 7 papers in Genetics. Recurrent topics in Julia Foreman's work include Plant Molecular Biology Research (11 papers), Photosynthetic Processes and Mechanisms (8 papers) and Light effects on plants (8 papers). Julia Foreman is often cited by papers focused on Plant Molecular Biology Research (11 papers), Photosynthetic Processes and Mechanisms (8 papers) and Light effects on plants (8 papers). Julia Foreman collaborates with scholars based in United Kingdom, United States and Canada. Julia Foreman's co-authors include Liam Dolan, Paul Linstead, Silvia Costa, Colin Brownlee, Vadim Demidchik, Julia M. Davies, Jonathan D. G. Jones, John H. Bothwell, Panagiota Mylona and Miguel Ángel Medina Torres and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Julia Foreman

23 papers receiving 3.0k citations

Hit Papers

Reactive oxygen species produced by NADPH oxidase regulat... 2003 2026 2010 2018 2003 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Foreman United Kingdom 15 2.5k 1.8k 137 82 75 24 3.1k
Anja T. Fuglsang Denmark 31 3.6k 1.4× 2.4k 1.4× 183 1.3× 63 0.8× 83 1.1× 66 4.8k
Yi Tao China 20 2.8k 1.1× 1.8k 1.0× 91 0.7× 104 1.3× 139 1.9× 35 3.5k
Shintaro Munemasa Japan 37 5.6k 2.2× 2.5k 1.4× 138 1.0× 50 0.6× 184 2.5× 102 6.5k
Alex Costa Italy 43 4.6k 1.8× 2.6k 1.5× 184 1.3× 110 1.3× 114 1.5× 121 5.9k
José Mulet Spain 28 1.8k 0.7× 1.8k 1.0× 226 1.6× 51 0.6× 85 1.1× 97 3.1k
Antoine Danon France 17 1.9k 0.8× 1.9k 1.1× 94 0.7× 28 0.3× 77 1.0× 22 2.8k
Fang‐Qing Guo China 25 2.9k 1.1× 1.6k 0.9× 82 0.6× 72 0.9× 75 1.0× 32 3.6k
Markus Teige Austria 40 4.2k 1.7× 3.3k 1.8× 221 1.6× 97 1.2× 88 1.2× 67 5.3k
Hirokazu Kobayashi Japan 22 2.0k 0.8× 2.5k 1.4× 191 1.4× 122 1.5× 97 1.3× 70 3.3k
Rainer Waadt Germany 28 4.3k 1.7× 2.3k 1.3× 177 1.3× 80 1.0× 145 1.9× 39 5.1k

Countries citing papers authored by Julia Foreman

Since Specialization
Citations

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

Fields of papers citing papers by Julia Foreman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Foreman

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Foreman. A scholar is included among the top collaborators of Julia Foreman 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 Julia Foreman. Julia Foreman 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.
Low, Karen, Julia Foreman, Berta Almoguera, et al.. (2025). The LMSz method - an automatable scalable approach to constructing gene-specific growth charts in rare disorders. European Journal of Human Genetics. 34(3). 348–356.
2.
Livesey, Benjamin, Mafalda Dias, Jonathan Frazer, et al.. (2025). Guidelines for releasing a variant effect predictor. Genome biology. 26(1). 97–97. 4 indexed citations
3.
Low, Karen, Peter S Blair, John Powell, et al.. (2024). Improving the care of children with GENetic Rare disease: Observational Cohort study (GenROC)—a study protocol. BMJ Open. 14(5). e085237–e085237. 4 indexed citations
4.
Garrett, Alice, Lara A. Muffley, Shawn Fayer, et al.. (2024). Workshop report: the clinical application of data from multiplex assays of variant effect (MAVEs), 12 July 2023. European Journal of Human Genetics. 32(5). 593–600. 8 indexed citations
5.
Foreman, Julia, Simon Brent, Daniel Perrett, et al.. (2022). DECIPHER: Supporting the interpretation and sharing of rare disease phenotype‐linked variant data to advance diagnosis and research. Human Mutation. 43(6). 682–697. 13 indexed citations
6.
Sobreira, Nara, Harindra Arachchi, Orion J. Buske, et al.. (2017). Matchmaker Exchange. Current Protocols in Human Genetics. 95(1). 9.31.1–9.31.15. 32 indexed citations
7.
Weimer, Annika K., Hirofumi Harashima, Farshad Roodbarkelari, et al.. (2016). The plant‐specific CDKB 1‐ CYCB 1 complex mediates homologous recombination repair in Arabidopsis. The EMBO Journal. 35(19). 2068–2086. 101 indexed citations
8.
Seaton, Daniel D., Robert W. Smith, Young Hun Song, et al.. (2015). Linked circadian outputs control elongation growth and flowering in response to photoperiod and temperature. Molecular Systems Biology. 11(1). 776–776. 84 indexed citations
9.
Johansson, Henrik, et al.. (2014). Arabidopsis cell expansion is controlled by a photothermal switch. Nature Communications. 5(1). 4848–4848. 62 indexed citations
10.
Gould, Peter, Mirela Domijan, Maria Manuela Ribeiro Costa, et al.. (2013). Network balance via CRY signalling controls the Arabidopsis circadian clock over ambient temperatures. Molecular Systems Biology. 9(1). 650–650. 75 indexed citations
11.
MacGregor, Dana R., Peter Gould, Julia Foreman, et al.. (2013). HIGH EXPRESSION OF OSMOTICALLY RESPONSIVE GENES1 Is Required for Circadian Periodicity through the Promotion of Nucleo-Cytoplasmic mRNA Export in Arabidopsis. The Plant Cell. 25(11). 4391–4404. 58 indexed citations
12.
Foreman, Julia, James C. White, Ian A. Graham, Karen Halliday, & Eve‐Marie Josse. (2011). Shedding light on flower development. Plant Signaling & Behavior. 6(4). 471–476. 8 indexed citations
13.
Foreman, Julia, et al.. (2010). Light receptor action is critical for maintaining plant biomass at warm ambient temperatures. The Plant Journal. 65(3). 441–452. 111 indexed citations
14.
Saithong, Treenut, Paul E. Brown, Julia Foreman, et al.. (2009). Prediction of Photoperiodic Regulators from Quantitative Gene Circuit Models. Cell. 139(6). 1170–1179. 89 indexed citations
15.
Foreman, Julia, et al.. (2008). MATHEMATICAL MODEL OF THE EPIGENETIC CONTROL OF VERNALISATION IN ARABIDOPSIS THALIANA. Acta Horticulturae. 187–192. 1 indexed citations
16.
Josse, Eve‐Marie, Julia Foreman, & Karen Halliday. (2008). Paths through the phytochrome network. Plant Cell & Environment. 31(5). 667–678. 25 indexed citations
17.
Culligan, Kevin M., et al.. (2006). ATR and ATM play both distinct and additive roles in response to ionizing radiation. The Plant Journal. 48(6). 947–961. 264 indexed citations
18.
Foreman, Julia, Vadim Demidchik, John H. Bothwell, et al.. (2003). Reactive oxygen species produced by NADPH oxidase regulate plant cell growth. Nature. 422(6930). 442–446. 1730 indexed citations breakdown →
19.
Jouannic, Stéfan, et al.. (2002). Cell specification in theArabidopsisroot epidermis requires the activity ofECTOPIC ROOT HAIR 3– a katanin-p60 protein. Development. 129(1). 123–131. 98 indexed citations
20.
Favery, Bruno, Eoin G. Ryan, Julia Foreman, et al.. (2001). KOJAK encodes a cellulose synthase-like protein required for root hair cell morphogenesis in Arabidopsis. Genes & Development. 15(1). 79–89. 179 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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