Karen Halliday

8.2k total citations · 2 hit papers
77 papers, 6.0k citations indexed

About

Karen Halliday is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Karen Halliday has authored 77 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 49 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Karen Halliday's work include Plant Molecular Biology Research (54 papers), Light effects on plants (49 papers) and Photosynthetic Processes and Mechanisms (40 papers). Karen Halliday is often cited by papers focused on Plant Molecular Biology Research (54 papers), Light effects on plants (49 papers) and Photosynthetic Processes and Mechanisms (40 papers). Karen Halliday collaborates with scholars based in United Kingdom, United States and Germany. Karen Halliday's co-authors include Garry C. Whitelam, Eve‐Marie Josse, Andrew J. Millar, Keara A. Franklin, Steven Penfield, Gabriela Toledo‐Ortiz, Ian A. Graham, Alison D. Gilday, Martijn van Zanten and Philip A. Wigge and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Karen Halliday

74 papers receiving 5.9k citations

Hit Papers

Molecular and genetic control of plant thermomorphogenesis 2014 2026 2018 2022 2016 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Halliday United Kingdom 43 5.2k 3.7k 257 224 169 77 6.0k
Hur‐Song Chang United States 22 5.5k 1.1× 3.7k 1.0× 211 0.8× 234 1.0× 81 0.5× 24 6.9k
Hongwei Guo China 47 9.7k 1.9× 5.8k 1.6× 158 0.6× 295 1.3× 182 1.1× 92 10.4k
José A. Jarillo Spain 34 4.6k 0.9× 3.6k 1.0× 268 1.0× 136 0.6× 398 2.4× 61 5.3k
Fatma Kaplan United States 27 3.5k 0.7× 2.1k 0.6× 165 0.6× 244 1.1× 66 0.4× 39 4.9k
Alex Webb United Kingdom 41 6.3k 1.2× 3.6k 1.0× 635 2.5× 233 1.0× 263 1.6× 97 7.2k
Antony N. Dodd United Kingdom 32 4.1k 0.8× 2.5k 0.7× 523 2.0× 302 1.3× 232 1.4× 65 5.0k
Stacey L. Harmer United States 38 7.2k 1.4× 5.2k 1.4× 884 3.4× 295 1.3× 227 1.3× 59 8.5k
Elaine M. Tobin United States 46 5.7k 1.1× 5.2k 1.4× 544 2.1× 145 0.6× 306 1.8× 87 6.9k
Enamul Huq United States 46 8.6k 1.7× 7.0k 1.9× 132 0.5× 435 1.9× 414 2.4× 96 9.7k
Joel A. Kreps United States 14 3.8k 0.7× 2.7k 0.7× 361 1.4× 99 0.4× 81 0.5× 17 4.3k

Countries citing papers authored by Karen Halliday

Since Specialization
Citations

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

Fields of papers citing papers by Karen Halliday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Halliday

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Halliday. A scholar is included among the top collaborators of Karen Halliday 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 Karen Halliday. Karen Halliday 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.
Molina, Nacho, et al.. (2025). Abundant clock proteins point to missing molecular regulation in the plant circadian clock. Molecular Systems Biology. 21(4). 361–389. 1 indexed citations
3.
Ochoa-Villarreal, Marisol, Elisabeth Moyano, Lorena Betancor, et al.. (2023). Increased paclitaxel recovery from Taxus baccata vascular stem cells using novel in situ product recovery approaches. Bioresources and Bioprocessing. 10(1). 68–68. 7 indexed citations
4.
Hussain, Ejaz, Andrés Romanowski, & Karen Halliday. (2022). PIF7 controls leaf cell proliferation through an AN3 substitution repression mechanism. Proceedings of the National Academy of Sciences. 119(5). 13 indexed citations
5.
Romanowski, Andrés, James Furniss, Ejaz Hussain, & Karen Halliday. (2021). Phytochrome regulates cellular response plasticity and the basic molecular machinery of leaf development. PLANT PHYSIOLOGY. 186(2). 1220–1239. 31 indexed citations
6.
Krahmer, Johanna, Virginie Mengin, Hirofumi Ishihara, et al.. (2021). Phytochromes control metabolic flux, and their action at the seedling stage determines adult plant biomass. Journal of Experimental Botany. 72(8). 3263–3278. 6 indexed citations
7.
8.
Seaton, Daniel D., et al.. (2018). Dawn and photoperiod sensing by phytochrome A. Proceedings of the National Academy of Sciences. 115(41). 10523–10528. 34 indexed citations
9.
Krahmer, Johanna, et al.. (2017). Phytochrome, Carbon Sensing, Metabolism, and Plant Growth Plasticity. PLANT PHYSIOLOGY. 176(2). 1039–1048. 53 indexed citations
10.
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
11.
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
12.
Pokhilko, Alexandra, Aurora Piñas Fernández, Kieron D. Edwards, et al.. (2012). The clock gene circuit in Arabidopsis includes a repressilator with additional feedback loops. Molecular Systems Biology. 8(1). 574–574. 319 indexed citations
13.
Josse, Eve‐Marie, Yinbo Gan, Jordi Bou‐Torrent, et al.. (2011). A DELLA in Disguise: SPATULA Restrains the Growth of the Developing Arabidopsis Seedling  . The Plant Cell. 23(4). 1337–1351. 66 indexed citations
14.
Griffiths, Jayne & Karen Halliday. (2011). Plant Development: Light Exposure Directs Meristem Fate. Current Biology. 21(19). R817–R819. 4 indexed citations
15.
Sidaway‐Lee, Kate, Eve‐Marie Josse, Yinbo Gan, et al.. (2010). SPATULA Links Daytime Temperature and Plant Growth Rate. Current Biology. 20(16). 1493–1497. 41 indexed citations
16.
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
17.
Penfield, Steven, Eve‐Marie Josse, & Karen Halliday. (2009). A role for an alternative splice variant of PIF6 in the control of Arabidopsis primary seed dormancy. Plant Molecular Biology. 73(1-2). 89–95. 95 indexed citations
18.
Josse, Eve‐Marie & Karen Halliday. (2008). Skotomorphogenesis: The Dark Side of Light Signalling. Current Biology. 18(24). R1144–R1146. 80 indexed citations
19.
Penfield, Steven, Eve‐Marie Josse, Rubini Kannangara, et al.. (2005). Cold and Light Control Seed Germination through the bHLH Transcription Factor SPATULA. Current Biology. 15(22). 1998–2006. 308 indexed citations
20.
Halliday, Karen & Garry C. Whitelam. (2003). Changes in Photoperiod or Temperature Alter the Functional Relationships between Phytochromes and Reveal Roles for phyD and phyE. PLANT PHYSIOLOGY. 131(4). 1913–1920. 99 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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