Igor Kardailsky

3.4k total citations · 2 hit papers
18 papers, 2.6k citations indexed

About

Igor Kardailsky is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Igor Kardailsky has authored 18 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 6 papers in Molecular Biology and 2 papers in Agronomy and Crop Science. Recurrent topics in Igor Kardailsky's work include Legume Nitrogen Fixing Symbiosis (8 papers), Plant Molecular Biology Research (5 papers) and Plant Reproductive Biology (4 papers). Igor Kardailsky is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (8 papers), Plant Molecular Biology Research (5 papers) and Plant Reproductive Biology (4 papers). Igor Kardailsky collaborates with scholars based in United Kingdom, United States and Australia. Igor Kardailsky's co-authors include Detlef Weigel, Ji Hoon Ahn, Maria Harrison, S. Christensen, Joanne Chory, Jasmine Nguyen, Vipula K. Shukla, N. J. Brewin, Shusei Sato and Cristina Ferrándiz and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Igor Kardailsky

16 papers receiving 2.5k citations

Hit Papers

Activation Tagging of the Floral Inducer FT 1999 2026 2008 2017 1999 2000 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Kardailsky United Kingdom 13 2.4k 1.9k 144 115 106 18 2.6k
Yoo‐Sun Noh South Korea 26 3.2k 1.3× 2.6k 1.4× 105 0.7× 103 0.9× 63 0.6× 39 3.5k
Peter P. Repetti United States 11 2.4k 1.0× 1.5k 0.8× 144 1.0× 105 0.9× 40 0.4× 11 2.6k
Seong‐Ryong Kim South Korea 23 2.0k 0.8× 1.5k 0.8× 251 1.7× 98 0.9× 100 0.9× 47 2.3k
Robert J. Bensen United States 12 1.4k 0.6× 840 0.4× 173 1.2× 71 0.6× 58 0.5× 16 1.7k
Nanae Ueda Japan 11 1.9k 0.8× 1.3k 0.7× 138 1.0× 95 0.8× 30 0.3× 13 2.2k
Xiaoping Gou China 27 2.7k 1.1× 1.9k 1.0× 91 0.6× 125 1.1× 40 0.4× 70 2.9k
Roderick W. Kumimoto United States 15 2.4k 1.0× 1.8k 0.9× 160 1.1× 49 0.4× 39 0.4× 17 2.6k
Lucia F. Primavesi United Kingdom 15 2.5k 1.1× 1.2k 0.6× 121 0.8× 72 0.6× 42 0.4× 20 2.8k
Rongzhi Chen China 25 2.3k 1.0× 1.2k 0.7× 305 2.1× 142 1.2× 49 0.5× 40 2.8k
Jack K. Okamuro United States 12 2.7k 1.1× 2.0k 1.1× 162 1.1× 135 1.2× 79 0.7× 14 2.9k

Countries citing papers authored by Igor Kardailsky

Since Specialization
Citations

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

Fields of papers citing papers by Igor Kardailsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Kardailsky

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

All Works

18 of 18 papers shown
1.
Simmons, Aaron, et al.. (2025). Managed grazing incrementally increased soil organic carbon amid larger temporal trends in a temperate pasture system. Agriculture Ecosystems & Environment. 396. 110010–110010.
2.
Kardailsky, Igor, et al.. (2022). Understanding sheep baa‐haviour: Investigating the relationship between pasture and animal grazing patterns. SHILAP Revista de lepidopterología. 1(3). 143–156. 5 indexed citations
3.
Greenwood, P. L., Igor Kardailsky, Warwick Badgery, & Greg Bishop-Hurley. (2020). 381 Smart Farming for Extensive Grazing Ruminant Production Systems. Journal of Animal Science. 98(Supplement_4). 139–140. 4 indexed citations
4.
Zohren, Jasmin, Nian Wang, Igor Kardailsky, et al.. (2016). Unidirectional diploid–tetraploid introgression among British birch trees with shifting ranges shown by restriction site‐associated markers. Molecular Ecology. 25(11). 2413–2426. 63 indexed citations
5.
Faville, Marty J., et al.. (2014). Comparative Genomics and Functional Characterisation of the GIGANTEA Gene from the Temperate Forage Perennial Ryegrass Lolium perenne. Plant Molecular Biology Reporter. 33(4). 1098–1106. 9 indexed citations
6.
Kardailsky, Igor. (2009). Semiquantitative Analysis of Arabidopsis RNA by Reverse Transcription Followed by PCR Using Mimics. Cold Spring Harbor Protocols. 2009(9). pdb.prot5297–pdb.prot5297. 2 indexed citations
7.
King, Rod W., Thomas Möritz, Lloyd T. Evans, et al.. (2006). Regulation of Flowering in the Long-Day Grass Lolium temulentum by Gibberellins and the FLOWERING LOCUS T Gene. PLANT PHYSIOLOGY. 141(2). 498–507. 91 indexed citations
8.
Yoo, So Yeon, Igor Kardailsky, Jong Seob Lee, Detlef Weigel, & Ji Hoon Ahn. (2004). Acceleration of Flowering by Overexpression of MFT (MOTHER OF FT AND TFL1). Molecules and Cells. 17(1). 95–101. 144 indexed citations
9.
Burleigh, Stephen, Igor Kardailsky, Ignacio E. Maldonado‐Mendoza, et al.. (2000). Transformation of Medicago truncatula via infiltration of seedlings or flowering plants with Agrobacterium. The Plant Journal. 22(6). 531–541. 170 indexed citations
10.
Weigel, Detlef, Ji Hoon Ahn, Miguel Á. Blázquez, et al.. (2000). Activation Tagging in Arabidopsis. PLANT PHYSIOLOGY. 122(4). 1003–1014. 744 indexed citations breakdown →
11.
Kardailsky, Igor, Vipula K. Shukla, Ji Hoon Ahn, et al.. (1999). Activation Tagging of the Floral Inducer FT. Science. 286(5446). 1962–1965. 1176 indexed citations breakdown →
12.
Dahiya, Preeti, D. Janine Sherrier, Igor Kardailsky, A. Y. Borisov, & N. J. Brewin. (1998). Symbiotic GeneSym31Controls the Presence of a Lectinlike Glycoprotein in the Symbiosome Compartment of Nitrogen-Fixing Pea Nodules. Molecular Plant-Microbe Interactions. 11(9). 915–923. 21 indexed citations
13.
Brewin, N. J. & Igor Kardailsky. (1997). Legume lectins and nodulation by Rhizobium. Trends in Plant Science. 2(3). 92–98. 38 indexed citations
14.
Dahiya, Preeti, Igor Kardailsky, & N. J. Brewin. (1997). Immunolocalization of PsNLEC-1, a Lectin-Like Glycoprotein Expressed in Developing Pea Nodules. PLANT PHYSIOLOGY. 115(4). 1431–1442. 20 indexed citations
15.
Kardailsky, Igor. (1996). Expression of Cysteine Protease Genes in Pea Nodule Development and Senescence. Molecular Plant-Microbe Interactions. 9(8). 689–689. 55 indexed citations
16.
Kardailsky, Igor, D. Janine Sherrier, & N. J. Brewin. (1996). Identification of a New Pea Gene, PsNlec1, Encoding a Lectin-like Glycoprotein Isolated from the Symbiosomes of Root Nodules. PLANT PHYSIOLOGY. 111(1). 49–60. 34 indexed citations
17.
Vijn, Irma, Henning Christiansen, Igor Kardailsky, et al.. (1995). A 200 bp region of the pea ENOD12 promoter is sufficient for nodule-specific and Nod factor induced expression. Plant Molecular Biology. 28(6). 1103–1110. 24 indexed citations
18.
Kardailsky, Igor, Wei‐Cai Yang, Andrei O. Zalensky, A. van Kammen, & Ton Bisseling. (1993). The pea late nodulin gene PsNOD6 is homologous to the early nodulin genes PsENOD3/14 and is expressed after the leghaemoglobin genes. Plant Molecular Biology. 23(5). 1029–1037. 23 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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