Kathryn M. Robinson

4.1k total citations · 1 hit paper
36 papers, 2.8k citations indexed

About

Kathryn M. Robinson is a scholar working on Molecular Biology, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, Kathryn M. Robinson has authored 36 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Plant Science and 13 papers in Agronomy and Crop Science. Recurrent topics in Kathryn M. Robinson's work include Bioenergy crop production and management (13 papers), Ecology and Vegetation Dynamics Studies (8 papers) and RNA Interference and Gene Delivery (5 papers). Kathryn M. Robinson is often cited by papers focused on Bioenergy crop production and management (13 papers), Ecology and Vegetation Dynamics Studies (8 papers) and RNA Interference and Gene Delivery (5 papers). Kathryn M. Robinson collaborates with scholars based in Sweden, United Kingdom and United States. Kathryn M. Robinson's co-authors include Jon Karpilow, William S. Marshall, Emily M. Anderson, Anastasia Khvorova, Yuriy Fedorov, Angela Reynolds, Devin Leake, Amanda Birmingham, Nathaniel R. Street and Gail Taylor and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kathryn M. Robinson

33 papers receiving 2.7k citations

Hit Papers

3′ UTR seed matches, but not overall identity, are associ... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathryn M. Robinson Sweden 20 1.9k 775 533 430 251 36 2.8k
Wanjun Gu China 25 2.5k 1.3× 645 0.8× 698 1.3× 616 1.4× 26 0.1× 60 3.1k
Sigrid A. Lehnert Australia 38 2.4k 1.3× 494 0.6× 309 0.6× 2.6k 6.1× 712 2.8× 114 5.1k
Nicolas Delhomme Sweden 25 1.8k 1.0× 156 0.2× 1.1k 2.1× 271 0.6× 64 0.3× 55 2.5k
Andre A. Eggen France 20 771 0.4× 278 0.4× 586 1.1× 1.7k 4.0× 196 0.8× 36 2.3k
Willy Beçak Brazil 27 589 0.3× 206 0.3× 709 1.3× 754 1.8× 164 0.7× 108 2.0k
Helena Persson Sweden 22 944 0.5× 671 0.9× 299 0.6× 174 0.4× 19 0.1× 44 1.7k
Peter Dovč Slovenia 27 1.0k 0.5× 456 0.6× 144 0.3× 1.2k 2.7× 326 1.3× 141 2.6k
Amy M. Brunner United States 36 4.2k 2.2× 163 0.2× 3.5k 6.6× 656 1.5× 425 1.7× 71 5.9k
Marc R. Friedländer Sweden 28 4.4k 2.3× 3.4k 4.3× 855 1.6× 389 0.9× 53 0.2× 60 6.1k

Countries citing papers authored by Kathryn M. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn M. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn M. Robinson. 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 Kathryn M. Robinson. The network helps show where Kathryn M. Robinson may publish in the future.

Co-authorship network of co-authors of Kathryn M. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn M. Robinson. A scholar is included among the top collaborators of Kathryn M. Robinson 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 Kathryn M. Robinson. Kathryn M. Robinson 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.
Choudhary, Shruti, Maxime Chantreau, Carolin Seyfferth, et al.. (2025). Unraveling nitrogen uptake and metabolism: gene families, expression dynamics and functional insights in aspen ( Populus tremula ). Tree Physiology. 45(13). 100–113.
3.
Robinson, Kathryn M., Naoki Takata, Iwanka Kozarewa, et al.. (2025). Nature’s Master of Ceremony: The Populus Circadian Clock as Orchestrator of Tree Growth and Phenology. PubMed. 2(1). 16–16.
4.
Choudhary, Shruti, et al.. (2024). Systems genetic analysis of lignin biosynthesis in Populus tremula. New Phytologist. 243(6). 2157–2174. 2 indexed citations
5.
Lihavainen, Jenna, Jan Šimura, Pushan Bag, et al.. (2023). Salicylic acid metabolism and signalling coordinate senescence initiation in aspen in nature. Nature Communications. 14(1). 4288–4288. 22 indexed citations
6.
Escamez, Sacha, Kathryn M. Robinson, Madhavi Latha Gandla, et al.. (2023). Genetic markers and tree properties predicting wood biorefining potential in aspen (Populus tremula) bioenergy feedstock. SHILAP Revista de lepidopterología. 16(1). 65–65. 7 indexed citations
7.
Bag, Pushan, et al.. (2021). An atlas of the Norway spruce needle seasonal transcriptome. The Plant Journal. 108(6). 1815–1829. 7 indexed citations
8.
Robinson, Kathryn M., et al.. (2021). Variation in non-target traits in genetically modified hybrid aspens does not exceed natural variation. New Biotechnology. 64. 27–36. 2 indexed citations
9.
Rendón‐Anaya, Martha, Sæmundur Sveinsson, Joan Cottrell, et al.. (2021). Adaptive Introgression Facilitates Adaptation to High Latitudes in European Aspen (Populus tremula L.). Molecular Biology and Evolution. 38(11). 5034–5050. 28 indexed citations
10.
Albrectsen, Benedicte Riber, et al.. (2021). European aspen with high compared to low constitutive tannin defenses grow taller in response to anthropogenic nitrogen enrichment. Forest Ecology and Management. 487. 118985–118985. 8 indexed citations
11.
Müller, Niels A., Birgit Kersten, Ana Paula Leite Montalvão, et al.. (2020). A single gene underlies the dynamic evolution of poplar sex determination. Nature Plants. 6(6). 630–637. 149 indexed citations
12.
Mähler, Niklas, Bastian Schiffthaler, Kathryn M. Robinson, et al.. (2020). Leaf shape in Populus tremula is a complex, omnigenic trait. Ecology and Evolution. 10(21). 11922–11940. 24 indexed citations
13.
Lihavainen, Jenna, et al.. (2020). Stem girdling affects the onset of autumn senescence in aspen in interaction with metabolic signals. Physiologia Plantarum. 172(1). 201–217. 13 indexed citations
14.
Bernhardsson, Carolina, Bastian Schiffthaler, Kathryn M. Robinson, et al.. (2019). Inferring the Genomic Landscape of Recombination Rate Variation in European Aspen (Populus tremula). G3 Genes Genomes Genetics. 10(1). 299–309. 17 indexed citations
15.
Grimberg, Åsa, Ida Lager, Nathaniel R. Street, et al.. (2018). Storage lipid accumulation is controlled by photoperiodic signal acting via regulators of growth cessation and dormancy in hybrid aspen. New Phytologist. 219(2). 619–630. 19 indexed citations
16.
Wang, Jing, Jihua Ding, Biyue Tan, et al.. (2018). A major locus controls local adaptation and adaptive life history variation in a perennial plant. Genome biology. 19(1). 72–72. 72 indexed citations
17.
Montgomery, Rusty L., Guoying Yu, Christianna Stack, et al.. (2014). Micro RNA mimicry blocks pulmonary fibrosis. EMBO Molecular Medicine. 6(10). 1347–1356. 184 indexed citations
18.
Hullinger, Thomas G., Rusty L. Montgomery, Anita G. Seto, et al.. (2011). Inhibition of miR-15 Protects Against Cardiac Ischemic Injury. Circulation Research. 110(1). 71–81. 386 indexed citations
19.
Ferris, Rachel, Lê Thành Long, Kathryn M. Robinson, et al.. (2002). Leaf stomatal and epidermal cell development: identification of putative quantitative trait loci in relation to elevated carbon dioxide concentration in poplar. Tree Physiology. 22(9). 633–640. 70 indexed citations
20.
Taylor, Gail, et al.. (2001). Identifying QTL for yield in UK biomass poplar.. ePrints Soton (University of Southampton). 173–182. 15 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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