Illimar Altosaar

5.3k total citations
155 papers, 3.9k citations indexed

About

Illimar Altosaar is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Illimar Altosaar has authored 155 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 75 papers in Plant Science and 49 papers in Biotechnology. Recurrent topics in Illimar Altosaar's work include Transgenic Plants and Applications (38 papers), Plant tissue culture and regeneration (35 papers) and Insect Resistance and Genetics (30 papers). Illimar Altosaar is often cited by papers focused on Transgenic Plants and Applications (38 papers), Plant tissue culture and regeneration (35 papers) and Insect Resistance and Genetics (30 papers). Illimar Altosaar collaborates with scholars based in Canada, China and United States. Illimar Altosaar's co-authors include Ravinder Sardana, Xiongying Cheng, Qingyao Shu, Steven F. Fabijanski, Laurian S. Robert, Harvey Kaplan, Paul G. Arnison, Tonya Ward, Diego Albani and Constance Nozzolillo and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Illimar Altosaar

153 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Illimar Altosaar Canada 34 2.5k 2.2k 903 504 412 155 3.9k
Gabriel Salcedo Spain 47 1.4k 0.6× 1.4k 0.6× 1.1k 1.2× 229 0.5× 171 0.4× 144 6.3k
Rosa Sánchez‐Monge Spain 41 1.3k 0.5× 1.2k 0.5× 920 1.0× 171 0.3× 178 0.4× 104 4.8k
Gary A. Bannon United States 43 1.2k 0.5× 790 0.4× 1.0k 1.2× 119 0.2× 116 0.3× 101 5.9k
D. Wade Abbott Canada 35 2.4k 0.9× 754 0.3× 683 0.8× 695 1.4× 51 0.1× 92 3.9k
Francisco Barro Spain 37 1.7k 0.7× 3.3k 1.5× 668 0.7× 712 1.4× 83 0.2× 126 4.5k
Michael E. Quigley United Kingdom 10 2.2k 0.9× 884 0.4× 240 0.3× 749 1.5× 76 0.2× 12 4.3k
Marco T. Rincón Israel 18 1.4k 0.5× 465 0.2× 639 0.7× 474 0.9× 54 0.1× 21 2.5k
H. Esteban Hopp Argentina 34 1.6k 0.7× 2.8k 1.3× 321 0.4× 91 0.2× 238 0.6× 133 3.9k
Susanne Jacobsen Denmark 29 1.1k 0.4× 963 0.4× 176 0.2× 250 0.5× 39 0.1× 65 2.5k
Di Fan China 31 2.0k 0.8× 1.9k 0.9× 144 0.2× 99 0.2× 109 0.3× 72 3.4k

Countries citing papers authored by Illimar Altosaar

Since Specialization
Citations

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

Fields of papers citing papers by Illimar Altosaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Illimar Altosaar

This figure shows the co-authorship network connecting the top 25 collaborators of Illimar Altosaar. A scholar is included among the top collaborators of Illimar Altosaar 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 Illimar Altosaar. Illimar Altosaar 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.
Altosaar, Illimar, Ardeshir Ariana, Joe Jabbour, et al.. (2024). Human milk extracellular vesicles modulate inflammation and cell survival in intestinal and immune cells. Pediatric Research. 98(1). 314–326. 8 indexed citations
2.
Möll, Kaidi, et al.. (2023). The influence of cropping system, weather conditions and genotype on arabinoxylan content in wheat and barley grains. Journal of Cereal Science. 110. 103650–103650. 6 indexed citations
3.
Altosaar, Illimar, Éric Tremblay, David Gagné, et al.. (2023). Gestational age at birth influences protein and RNA content in human milk extracellular vesicles. SHILAP Revista de lepidopterología. 3(1). e128–e128. 2 indexed citations
4.
Lu, Haiping, Jian‐Pu Han, Xiaohao Guo, et al.. (2022). An ABA‐serotonin module regulates root suberization and salinity tolerance. New Phytologist. 236(3). 958–973. 26 indexed citations
5.
Kraft, Jamie, et al.. (2021). Review of Methodological Approaches to Human Milk Small Extracellular Vesicle Proteomics. Biomolecules. 11(6). 833–833. 10 indexed citations
6.
Wan, Shen, et al.. (2018). New Breeding Techniques for Greenhouse Gas (GHG) Mitigation: Plants May Express Nitrous Oxide Reductase. Climate. 6(4). 80–80. 5 indexed citations
7.
Floris, Ilaria, Jamie Kraft, & Illimar Altosaar. (2016). Roles of MicroRNA across Prenatal and Postnatal Periods. International Journal of Molecular Sciences. 17(12). 1994–1994. 40 indexed citations
8.
Altosaar, Illimar, et al.. (2012). OPTIMIZACIÓN DE LOS PARÁMETROS DE TRANSFORMACIÓN GENÉTICA DE CAFÉ MEDIANTE BIOBALÍSTICA CON EL GEN REPORTERO GUS. 30. 23–34. 1 indexed citations
9.
Smith, Jeffrey C., et al.. (2010). Mass Spectrometric Analysis Reveals Remnants of Host–Pathogen Molecular Interactions at the Starch Granule Surface in Wheat Endosperm. Phytopathology. 100(9). 848–854. 13 indexed citations
10.
Altosaar, Illimar, et al.. (2010). Transformation of coffee (Coffea Arabica L. cv. Catimor) with the cry1ac gene by biolistic, without the use of markers. Brazilian Journal of Biology. 70(2). 387–393. 8 indexed citations
11.
Sardana, Ravinder, et al.. (2007). Biologically active human GM-CSF produced in the seeds of transgenic rice plants. Transgenic Research. 16(6). 713–721. 31 indexed citations
12.
Blais, David R., JoAnn Harrold, & Illimar Altosaar. (2006). Killing the Messenger in the Nick of Time: Persistence of Breast Milk sCD14 in the Neonatal Gastrointestinal Tract. Pediatric Research. 59(3). 371–376. 33 indexed citations
13.
Sardana, Ravinder, Sandra Postel, R. J. Johns, et al.. (2006). Optimizing tissue culture media for efficient transformation of different indica rice genotypes. Agronomy Research. 4(2). 563–575. 51 indexed citations
14.
Tackaberry, E., Margaret Bell, Peter R. Ganz, et al.. (2003). Increased yield of heterologous viral glycoprotein in the seeds of homozygous transgenic tobacco plants cultivated underground. Genome. 46(3). 521–526. 19 indexed citations
15.
Leroy, Thierry, et al.. (2000). Genetically modified coffee plants expressing the Bacillus thuringiensis cry 1Ac gene for resistance to leaf miner. Plant Cell Reports. 19(4). 382–385. 70 indexed citations
16.
Li, Aimin, Illimar Altosaar, Michéle C. Heath, & Paul A. Horgen. (1993). Transient expression of the beta-glucuronidase gene delivered into urediniospores of Uromyces appendiculatus by particle bombardment. Canadian Journal of Plant Pathology. 15(1). 1–6. 18 indexed citations
17.
Abou‐Zaid, Mamdouh M., et al.. (1991). The flavonoids of Psiadia Punctulata. Bulletin of the Chemical Society of Ethiopia. 5(1). 6 indexed citations
18.
Miller, S. Shea, et al.. (1984). Preliminary Evaluation of Lectins as Fluorescent Probes of Seed Structure and Composition. Digital Commons - USU (Utah State University). 3(2). 5. 6 indexed citations
19.
Altosaar, Illimar, et al.. (1983). The Effects of Commercial Processing on the Structure and Microchemical Organization of Rapeseed. Digital Commons - USU (Utah State University). 2(2). 7. 44 indexed citations
20.
Fulcher, R. Gary, et al.. (1982). The Microscopic Structure and Chemistry of Rapeseed and its Products. Digital Commons - USU (Utah State University). 1(2). 4. 14 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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