Giovanni Sena

2.9k total citations · 2 hit papers
23 papers, 2.1k citations indexed

About

Giovanni Sena is a scholar working on Plant Science, Molecular Biology and Physiology. According to data from OpenAlex, Giovanni Sena has authored 23 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 12 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Giovanni Sena's work include Plant Molecular Biology Research (9 papers), Plant and Biological Electrophysiology Studies (6 papers) and Plant Reproductive Biology (6 papers). Giovanni Sena is often cited by papers focused on Plant Molecular Biology Research (9 papers), Plant and Biological Electrophysiology Studies (6 papers) and Plant Reproductive Biology (6 papers). Giovanni Sena collaborates with scholars based in United Kingdom, United States and Italy. Giovanni Sena's co-authors include Philip N. Benfey, Keiji Nakajima, Tal Nawy, Jee Jung, Marie‐Theres Hauser, Ykä Helariutta, Hidehiro Fukaki, Joanna Wysocka‐Diller, Kenneth D. Birnbaum and Xiao‐Ning Wang and has published in prestigious journals such as Nature, Cell and Journal of Clinical Oncology.

In The Last Decade

Giovanni Sena

22 papers receiving 2.1k 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.

The SHORT-ROOT Gene Controls Radial Patterning of the Arabidopsis Root through Radial Signaling

2000 869 citations Ykä Helariutta, Hidehiro Fukaki et al. Cell profile →
Intercellular movement of the putative transcription factor SHR in root patterning

2001 635 citations Keiji Nakajima, Giovanni Sena et al. Nature profile →

Peers

Giovanni Sena

PS

MB

BE

BIOPH

CB

Heather Cartwright United States

Pawel Krupinski Sweden

Patrik Sahlin Sweden

Tal Nawy United States

Pascale Milani France

Elizabeth Faris Crowell France

Daniel von Wangenheim Germany

Barbara Möller Netherlands

Daisuke Kurihara Japan

Valérie Gaudin France

Heather Cartwright United States

Giovanni Sena

1000 ×0.5

PS

1.0k ×0.7

MB

76 ×1.0

BE

46 ×0.8

BIOPH

234 ×5.0

CB

Citations per year, relative to Giovanni Sena Giovanni Sena (= 1×) peers Heather Cartwright

Countries citing papers authored by Giovanni Sena

Since Specialization

Citations

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

Fields of papers citing papers by Giovanni Sena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Sena

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

All Works

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20 of 20 papers shown

1.

Moratto, Eleonora, et al.. (2024). Reduction of Phytophthora palmivora plant root infection in weak electric fields. Scientific Reports. 14(1). 19993–19993. 2 indexed citations

2.

Fallesen, Todd, et al.. (2024). Intermittent cell division dynamics in regenerating Arabidopsis roots reveals complex long-range interactions. SHILAP Revista de lepidopterología. 5. e7–e7.

3.

Moratto, Eleonora & Giovanni Sena. (2023). The Bioelectricity of Plant–Biotic Interactions. Spiral (Imperial College London). 5(1). 47–54. 4 indexed citations

4.

Moratto, Eleonora, Stephen Rothery, Tolga O. Bozkurt, & Giovanni Sena. (2023). Enhanced germination and electrotactic behaviour of Phytophthora palmivora zoospores in weak electric fields. Physical Biology. 20(5). 56005–56005. 3 indexed citations

5.

Sena, Giovanni, et al.. (2023). Long-term root electrotropism reveals habituation and hysteresis. PLANT PHYSIOLOGY. 194(4). 2697–2708. 2 indexed citations

6.

Oliver, Nicholas H.S., et al.. (2021). Root electrotropism in Arabidopsis does not depend on auxin distribution but requires cytokinin biosynthesis. PLANT PHYSIOLOGY. 188(3). 1604–1616. 10 indexed citations

7.

Fallesen, Todd, et al.. (2021). A random-sampling approach to track cell divisions in time-lapse fluorescence microscopy. Plant Methods. 17(1). 25–25. 1 indexed citations

8.

Meloni, Gabriel N., Peter Tran, Christian Zerfaß, et al.. (2020). Bioelectrical understanding and engineering of cell biology. Journal of The Royal Society Interface. 17(166). 20200013–20200013. 56 indexed citations

9.

Baesso, P., et al.. (2018). Light Sheet Fluorescence Microscopy Optimized for Long-Term Imaging of Arabidopsis Root Development. Methods in molecular biology. 1761. 145–163. 10 indexed citations

10.

Sena, Giovanni, et al.. (2016). Externally imposed electric field enhances plant root tip regeneration. PubMed. 3(3). 156–167. 24 indexed citations

11.

Sena, Giovanni. (2014). Stem Cells and Regeneration in Plants. Nephron Experimental Nephrology. 126(2). 35–39. 8 indexed citations

12.

Sena, Giovanni, et al.. (2011). Quantitation of Cellular Dynamics in Growing Arabidopsis Roots with Light Sheet Microscopy. PLoS ONE. 6(6). e21303–e21303. 62 indexed citations

13.

Sena, Giovanni & Kenneth D. Birnbaum. (2010). Built to rebuild: in search of organizing principles in plant regeneration. Current Opinion in Genetics & Development. 20(4). 460–465. 24 indexed citations

14.

Sena, Giovanni, et al.. (2009). Organ regeneration does not require a functional stem cell niche in plants. Nature. 457(7233). 1150–1153. 198 indexed citations

15.

Sena, Giovanni, Jee Jung, & Philip N. Benfey. (2004). A broad competence to respond to SHORT ROOT revealed by tissue-specific ectopic expression. Development. 131(12). 2817–2826. 97 indexed citations

16.

Nakajima, Keiji, Giovanni Sena, Tal Nawy, & Philip N. Benfey. (2001). Intercellular movement of the putative transcription factor SHR in root patterning. Nature. 413(6853). 307–311. 635 indexed citations breakdown →

17.

Helariutta, Ykä, Hidehiro Fukaki, Joanna Wysocka‐Diller, et al.. (2000). The SHORT-ROOT Gene Controls Radial Patterning of the Arabidopsis Root through Radial Signaling. Cell. 101(5). 555–567. 869 indexed citations breakdown →

18.

Sena, Giovanni, et al.. (1999). Measuring the complexity of cell cycle arrest and killing of drugs: Kinetics of phase-specific effects induced by Taxol. Cytometry. 37(2). 113–124. 40 indexed citations

19.

Sena, Giovanni, et al.. (1999). Measuring the complexity of cell cycle arrest and killing of drugs: Kinetics of phase‐specific effects induced by Taxol. Cytometry. 37(2). 113–124. 1 indexed citations

20.

Montalenti, Francesco, Giovanni Sena, Paolo Cappella, & Paolo Ubezio. (1998). Simulating cancer-cell kinetics after drug treatment: Application to cisplatin on ovarian carcinoma. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 57(5). 5877–5887. 40 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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