Nicholas Morffy

1.3k total citations · 1 hit paper
17 papers, 928 citations indexed

About

Nicholas Morffy is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Nicholas Morffy has authored 17 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 12 papers in Molecular Biology and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Nicholas Morffy's work include Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (5 papers) and Plant Gene Expression Analysis (4 papers). Nicholas Morffy is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (5 papers) and Plant Gene Expression Analysis (4 papers). Nicholas Morffy collaborates with scholars based in United States, United Kingdom and Denmark. Nicholas Morffy's co-authors include David C. Nelson, John Stanga, Lucia C. Strader, Tom Bennett, Ottoline Leyser, Yueyang Liang, Amena Abbas, Lionel Faure, Maia Parsadanian and Mark P. Burns and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Nicholas Morffy

15 papers receiving 921 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SMAX1-LIKE/D53 Family Members Enable Distinct MAX2-Dependent Responses to Strigolactones and Karrikins in Arabidopsis

2015 309 citations Tom Bennett, Nicholas Morffy et al. The Plant Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Morffy United States	12	763	434	323	45	42	17	928
Yingxiu Xu China	11	741 1.0×	44 0.1×	502 1.6×	8 0.2×	11 0.3×	11	933
Giulia Russo Italy	12	264 0.3×	31 0.1×	174 0.5×	6 0.1×	24 0.6×	18	455
John R. Ellison United States	12	400 0.5×	127 0.3×	340 1.1×	4 0.1×	3 0.1×	14	642
Huyen Bui United States	9	129 0.2×	27 0.1×	429 1.3×	11 0.2×	48 1.1×	15	524
Yanna Gao China	9	208 0.3×	16 0.0×	201 0.6×	36 0.8×	29 0.7×	18	310
Quan Huu Nguyen Vietnam	11	160 0.2×	26 0.1×	221 0.7×	28 0.6×	6 0.1×	33	414
Ek Han Tan United States	14	587 0.8×	22 0.1×	476 1.5×	175 3.9×	5 0.1×	23	867
Yanzhong Li China	11	189 0.2×	53 0.1×	53 0.2×	3 0.1×	11 0.3×	45	316
Huan Yu China	11	75 0.1×	42 0.1×	329 1.0×	13 0.3×	10 0.2×	51	458

Countries citing papers authored by Nicholas Morffy

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Morffy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Morffy

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Morffy. A scholar is included among the top collaborators of Nicholas Morffy 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 Nicholas Morffy. Nicholas Morffy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Tendon, Valérie Dénervaud, et al.. (2025). Efficient, cell-type-specific production of flavonols by multiplexed CRISPR activation of a suite of metabolic enzymes. Nature Communications. 16(1). 6559–6559.

Prigge, Michael J., Nicholas Morffy, María Jazmín Abraham‐Juárez, et al.. (2025). Comparative mutant analyses reveal a novel mechanism of ARF regulation in land plants. Nature Plants. 11(4). 821–835. 1 indexed citations

Davey, Norman E., F. Emil Thomasen, Nicholas Morffy, et al.. (2025). Hierarchy in regulator interactions with distant transcriptional activation domains empowers rheostatic regulation. Protein Science. 34(6). e70142–e70142.

Prestel, Andreas, Nicholas Morffy, Lucia C. Strader, et al.. (2024). Molecular switching in transcription through splicing and proline-isomerization regulates stress responses in plants. Nature Communications. 15(1). 592–592. 11 indexed citations

Morffy, Nicholas, Lisa Van den Broeck, Ryan J. Emenecker, et al.. (2024). Identification of plant transcriptional activation domains. Nature. 632(8023). 166–173. 29 indexed citations

Broeck, Lisa Van den, et al.. (2023). Prediction and functional characterization of transcriptional activation domains. 1–6. 1 indexed citations

Jing, Hongwei, David A. Korasick, Ryan J. Emenecker, et al.. (2022). Regulation of AUXIN RESPONSE FACTOR condensation and nucleo-cytoplasmic partitioning. Nature Communications. 13(1). 4015–4015. 48 indexed citations

Strader, Lucia C., et al.. (2022). ARF19 Condensation in the Arabidopsis Stomatal Lineage. PubMed. 2023. 2 indexed citations

Yoo, Chan Yul, Jiangman He, Qing Sang, et al.. (2021). Direct photoresponsive inhibition of a p53-like transcription activation domain in PIF3 by Arabidopsis phytochrome B. Nature Communications. 12(1). 5614–5614. 25 indexed citations

10.

Morffy, Nicholas & Lucia C. Strader. (2021). Structural Aspects of Auxin Signaling. Cold Spring Harbor Perspectives in Biology. 14(1). a039883–a039883. 34 indexed citations

11.

Khosla, Aashima, Nicholas Morffy, Qingtian Li, et al.. (2020). Structure–Function Analysis of SMAX1 Reveals Domains That Mediate Its Karrikin-Induced Proteolysis and Interaction with the Receptor KAI2. The Plant Cell. 32(8). 2639–2659. 97 indexed citations

12.

Morffy, Nicholas & Lucia C. Strader. (2020). Old Town Roads: routes of auxin biosynthesis across kingdoms. Current Opinion in Plant Biology. 55. 21–27. 61 indexed citations

13.

Stanga, John, Nicholas Morffy, & David C. Nelson. (2016). Functional redundancy in the control of seedling growth by the karrikin signaling pathway. Planta. 243(6). 1397–1406. 105 indexed citations

14.

Morffy, Nicholas, Lionel Faure, & David C. Nelson. (2016). Smoke and Hormone Mirrors: Action and Evolution of Karrikin and Strigolactone Signaling. Trends in Genetics. 32(3). 176–188. 87 indexed citations

15.

Bennett, Tom, Nicholas Morffy, Yueyang Liang, et al.. (2015). SMAX1-LIKE/D53 Family Members Enable Distinct MAX2-Dependent Responses to Strigolactones and Karrikins in Arabidopsis. The Plant Cell. 27(11). 3143–3159. 309 indexed citations breakdown →

16.

Morffy, Nicholas, et al.. (2014). Inactivating UBE2M Impacts the DNA Damage Response and Genome Integrity Involving Multiple Cullin Ligases. PLoS ONE. 9(7). e101844–e101844. 32 indexed citations

17.

Washington, Patricia M., Nicholas Morffy, Maia Parsadanian, David N. Zapple, & Mark P. Burns. (2013). Experimental Traumatic Brain Injury Induces Rapid Aggregation and Oligomerization of Amyloid-Beta in an Alzheimer's Disease Mouse Model. Journal of Neurotrauma. 31(1). 125–134. 86 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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