Sigal Savaldi‐Goldstein

3.0k total citations
29 papers, 2.2k citations indexed

About

Sigal Savaldi‐Goldstein is a scholar working on Plant Science, Molecular Biology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Sigal Savaldi‐Goldstein has authored 29 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 16 papers in Molecular Biology and 1 paper in Industrial and Manufacturing Engineering. Recurrent topics in Sigal Savaldi‐Goldstein's work include Plant Molecular Biology Research (22 papers), Plant Reproductive Biology (13 papers) and Plant nutrient uptake and metabolism (11 papers). Sigal Savaldi‐Goldstein is often cited by papers focused on Plant Molecular Biology Research (22 papers), Plant Reproductive Biology (13 papers) and Plant nutrient uptake and metabolism (11 papers). Sigal Savaldi‐Goldstein collaborates with scholars based in Israel, United States and United Kingdom. Sigal Savaldi‐Goldstein's co-authors include Joanne Chory, Charles A. Peto, Yulia Fridman, Robert Fluhr, Neta Holland, Amar Pal Singh, Yael Hacham, Cristina N. Butterfield, Ron Ophir and Hadas Ner‐Gaon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Sigal Savaldi‐Goldstein

28 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sigal Savaldi‐Goldstein Israel 19 1.9k 1.3k 47 45 41 29 2.2k
László Bakó Sweden 19 1.4k 0.8× 1.2k 0.9× 24 0.5× 44 1.0× 55 1.3× 27 1.7k
Sunchung Park United States 18 1.7k 0.9× 1.2k 0.9× 41 0.9× 45 1.0× 47 1.1× 46 1.9k
Kamil Růžička Czechia 15 2.3k 1.2× 1.9k 1.4× 22 0.5× 73 1.6× 46 1.1× 19 2.8k
Shunsuke Miyashima Japan 20 3.0k 1.6× 2.0k 1.5× 24 0.5× 63 1.4× 70 1.7× 28 3.1k
Hélène S. Robert Czechia 24 1.9k 1.0× 1.5k 1.1× 43 0.9× 78 1.7× 87 2.1× 39 2.1k
Ute Voß United Kingdom 23 2.0k 1.1× 1.4k 1.0× 27 0.6× 73 1.6× 121 3.0× 29 2.3k
Anne Vatén Finland 11 1.8k 1.0× 1.3k 0.9× 16 0.3× 59 1.3× 36 0.9× 13 2.0k
Jaimie Van Norman United States 19 1.7k 0.9× 1.4k 1.0× 23 0.5× 88 2.0× 81 2.0× 33 1.9k
Susana Úbeda-Tomás United Kingdom 12 1.5k 0.8× 923 0.7× 19 0.4× 45 1.0× 17 0.4× 14 1.6k
Elisabeth Truernit Switzerland 25 2.7k 1.5× 1.6k 1.2× 55 1.2× 119 2.6× 53 1.3× 37 3.0k

Countries citing papers authored by Sigal Savaldi‐Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Sigal Savaldi‐Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sigal Savaldi‐Goldstein. 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 Sigal Savaldi‐Goldstein. The network helps show where Sigal Savaldi‐Goldstein may publish in the future.

Co-authorship network of co-authors of Sigal Savaldi‐Goldstein

This figure shows the co-authorship network connecting the top 25 collaborators of Sigal Savaldi‐Goldstein. A scholar is included among the top collaborators of Sigal Savaldi‐Goldstein 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 Sigal Savaldi‐Goldstein. Sigal Savaldi‐Goldstein 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.
Sha, M. Ameen, et al.. (2025). Utilization of vivianite as a slow-release phosphorus fertilizer: efficiency and mechanisms. Chemical and Biological Technologies in Agriculture. 12(1).
2.
Khandal, Hitaishi, Guy Horev, Yoram Soroka, et al.. (2025). Root growth and branching are enabled by brassinosteroid-regulated growth anisotropy and carbon allocation. Nature Communications. 16(1). 3985–3985. 3 indexed citations
3.
Fridman, Yulia, et al.. (2024). Widespread horizontal gene transfer between plants and bacteria. ISME Communications. 4(1). ycae073–ycae073. 10 indexed citations
4.
Khandal, Hitaishi, et al.. (2024). The whole and its parts: cell-specific functions of brassinosteroids. Trends in Plant Science. 30(4). 389–408. 4 indexed citations
5.
Demirer, Gözde S., Xiaoyan Yue, Hitaishi Khandal, et al.. (2023). Phosphate deprivation‐induced changes in tomato are mediated by an interaction between brassinosteroid signaling and zinc. New Phytologist. 239(4). 1368–1383. 17 indexed citations
6.
Avital, Aviram, Yulia Fridman, Jeny Shklover, et al.. (2021). Foliar Delivery of siRNA Particles for Treating Viral Infections in Agricultural Grapevines. Advanced Functional Materials. 31(44). 20 indexed citations
7.
Fridman, Yulia, et al.. (2021). Optimal BR signalling is required for adequate cell wall orientation in the Arabidopsis root meristem. Development. 148(21). 13 indexed citations
8.
Savaldi‐Goldstein, Sigal, et al.. (2019). Growth models from a brassinosteroid perspective. Current Opinion in Plant Biology. 53. 90–97. 40 indexed citations
9.
Singh, Amar Pal, Yulia Fridman, Neta Holland, et al.. (2018). Interdependent Nutrient Availability and Steroid Hormone Signals Facilitate Root Growth Plasticity. Developmental Cell. 46(1). 59–72.e4. 62 indexed citations
10.
Bartom, Elizabeth T., et al.. (2017). Quantitation of Cell Type-Specific Responses to Brassinosteroid by Deep Sequencing of Polysome-Associated Polyadenylated RNA. Methods in molecular biology. 1564. 81–102. 1 indexed citations
11.
Singh, Amar Pal & Sigal Savaldi‐Goldstein. (2015). Growth control: brassinosteroid activity gets context. Journal of Experimental Botany. 66(4). 1123–1132. 96 indexed citations
12.
Fridman, Yulia, et al.. (2014). Root growth is modulated by differential hormonal sensitivity in neighboring cells. Genes & Development. 28(8). 912–920. 74 indexed citations
13.
Fridman, Yulia & Sigal Savaldi‐Goldstein. (2013). Brassinosteroids in growth control: How, when and where. Plant Science. 209. 24–31. 102 indexed citations
14.
Hacham, Yael, et al.. (2012). BRI1 activity in the root meristem involves post-transcriptional regulation of PIN auxin efflux carriers. Plant Signaling & Behavior. 7(1). 68–70. 30 indexed citations
15.
Hacham, Yael, Neta Holland, Cristina N. Butterfield, et al.. (2011). Brassinosteroid perception in the epidermis controls root meristem size. Development. 138(5). 839–848. 283 indexed citations
16.
Savaldi‐Goldstein, Sigal, T.J. Baiga, Florence Pojer, et al.. (2008). New auxin analogs with growth-promoting effects in intact plants reveal a chemical strategy to improve hormone delivery. Proceedings of the National Academy of Sciences. 105(39). 15190–15195. 87 indexed citations
17.
Savaldi‐Goldstein, Sigal & Joanne Chory. (2007). Growth coordination and the shoot epidermis. Current Opinion in Plant Biology. 11(1). 42–48. 69 indexed citations
18.
Savaldi‐Goldstein, Sigal, Charles A. Peto, & Joanne Chory. (2007). The epidermis both drives and restricts plant shoot growth. Nature. 446(7132). 199–202. 348 indexed citations
19.
Savaldi‐Goldstein, Sigal, Dvora Aviv, Olga Davydov, & Robert Fluhr. (2003). Alternative Splicing Modulation by a LAMMER Kinase Impinges on Developmental and Transcriptome Expression. The Plant Cell. 15(4). 926–938. 61 indexed citations
20.
Savaldi‐Goldstein, Sigal, Guido Sessa, & Robert Fluhr. (2000). The ethylene‐inducible PK12 kinase mediates the phosphorylation of SR splicing factors. The Plant Journal. 21(1). 91–96. 55 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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