Murukarthick Jayakodi

3.1k total citations
46 papers, 970 citations indexed

About

Murukarthick Jayakodi is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Murukarthick Jayakodi has authored 46 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 27 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Murukarthick Jayakodi's work include Ginseng Biological Effects and Applications (13 papers), Genomics and Phylogenetic Studies (10 papers) and Plant Disease Resistance and Genetics (10 papers). Murukarthick Jayakodi is often cited by papers focused on Ginseng Biological Effects and Applications (13 papers), Genomics and Phylogenetic Studies (10 papers) and Plant Disease Resistance and Genetics (10 papers). Murukarthick Jayakodi collaborates with scholars based in South Korea, Germany and India. Murukarthick Jayakodi's co-authors include Tae‐Jin Yang, Martin Mascher, Nils Stein, Sang‐Choon Lee, Mona Schreiber, Woojong Jang, Jee Young Park, Yun Sun Lee, Sampath Perumal and N. Senthil and has published in prestigious journals such as Nature, PLoS ONE and Nature Reviews Genetics.

In The Last Decade

Murukarthick Jayakodi

43 papers receiving 949 citations

Peers

Murukarthick Jayakodi
Dongyan Zhao United States
Ting Shi China
Dean Lavelle United States
Jeong‐Hwan Mun South Korea
Tae‐Ho Lee South Korea
Dongyan Zhao United States
Murukarthick Jayakodi
Citations per year, relative to Murukarthick Jayakodi Murukarthick Jayakodi (= 1×) peers Dongyan Zhao

Countries citing papers authored by Murukarthick Jayakodi

Since Specialization
Citations

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

Fields of papers citing papers by Murukarthick Jayakodi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murukarthick Jayakodi

This figure shows the co-authorship network connecting the top 25 collaborators of Murukarthick Jayakodi. A scholar is included among the top collaborators of Murukarthick Jayakodi 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 Murukarthick Jayakodi. Murukarthick Jayakodi 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.
Thudi, Mahendar, Martin Mascher, & Murukarthick Jayakodi. (2025). Pangenome charts the genomic path for wheat improvement. Trends in Plant Science. 30(7). 687–689.
2.
Mascher, Martin, Nils Stein, Murukarthick Jayakodi, et al.. (2024). Capitalizing on genebank core collections for rare and novel disease resistance loci to enhance barley resilience. Journal of Experimental Botany. 75(18). 5940–5954. 3 indexed citations
3.
Govind, Geetha, Göetz Hensel, Sandip M. Kale, et al.. (2024). HOMEOBOX2, the paralog of SIX-ROWED SPIKE1/HOMEOBOX1, is dispensable for barley spikelet development. Journal of Experimental Botany. 75(10). 2900–2916. 2 indexed citations
4.
Maurer, Andreas, Ricardo Fabiano Hettwer Giehl, Shuangshuang Zhao, et al.. (2024). Dynamic Phytomeric Growth Contributes to Local Adaptation in Barley. Molecular Biology and Evolution. 41(2). 4 indexed citations
5.
Jang, Woojong, Jiseok Kim, Young‐Ju Oh, et al.. (2024). High-resolution genetic map and SNP chip for molecular breeding in Panax ginseng, a tetraploid medicinal plant. Horticulture Research. 11(12). uhae257–uhae257. 3 indexed citations
6.
Mascher, Martin, et al.. (2024). Promises and challenges of crop translational genomics. Nature. 636(8043). 585–593. 8 indexed citations
7.
Schreiber, Mona, Murukarthick Jayakodi, Nils Stein, & Martin Mascher. (2024). Plant pangenomes for crop improvement, biodiversity and evolution. Nature Reviews Genetics. 25(8). 563–577. 37 indexed citations
8.
Karthikeyan, Adhimoolam, Murukarthick Jayakodi, Manickam Dhasarathan, et al.. (2024). Consensus genetic linkage map and QTL mapping allow to capture the genomic regions associated with agronomic traits in pearl millet. Planta. 260(3). 57–57.
9.
Nguyen, Van Binh, Giang N. L. Vo, Yun Sun Lee, et al.. (2023). Improved biomass and metabolite production in hairy root culture in various genotypes of Panax ginseng through genetic transformation. Plant Cell Tissue and Organ Culture (PCTOC). 156(2). 2 indexed citations
10.
Jayakodi, Murukarthick, Jee Young Park, Byeong Cheol Moon, et al.. (2020). Mitochondrial plastid DNA can cause DNA barcoding paradox in plants. Scientific Reports. 10(1). 6112–6112. 33 indexed citations
11.
Muqaddasi, Quddoos H., Murukarthick Jayakodi, Andreas Börner, & Marion S. Röder. (2019). Identification of consistent QTL with large effect on anther extrusion in doubled haploid populations developed from spring wheat accessions in German Federal ex situ Genebank. Theoretical and Applied Genetics. 132(11). 3035–3045. 13 indexed citations
12.
Waminal, Nomar Espinosa, Nam‐Soo Kim, Murukarthick Jayakodi, et al.. (2018). Rapid and Efficient FISH using Pre-Labeled Oligomer Probes. Scientific Reports. 8(1). 8224–8224. 46 indexed citations
13.
Jayakodi, Murukarthick, Beom‐Soon Choi, Sang‐Choon Lee, et al.. (2018). Ginseng Genome Database: an open-access platform for genomics of Panax ginseng. BMC Plant Biology. 18(1). 62–62. 74 indexed citations
14.
Jang, Woojong, Nam‐Hoon Kim, Junki Lee, et al.. (2017). A Glimpse of Panax ginseng Genome Structure Revealed from Ten BAC Clone Sequences Obtained by SMRT Sequencing Platform. Plant Breeding and Biotechnology. 5(1). 25–35. 3 indexed citations
15.
Lee, Yun Sun, Ho Jun Joh, Murukarthick Jayakodi, et al.. (2017). The Complete Chloroplast Genome Sequence and Intra-Species Diversity of Rhus chinensis. Plant Breeding and Biotechnology. 5(3). 243–251. 6 indexed citations
16.
Joh, Ho Jun, Nam‐Hoon Kim, Murukarthick Jayakodi, et al.. (2017). Authentication of Golden-Berry P. ginseng Cultivar ‘Gumpoong’ from a Landrace ‘Hwangsook’ Based on Pooling Method Using Chloroplast-Derived Markers. Plant Breeding and Biotechnology. 5(1). 16–24. 1 indexed citations
17.
Lee, Yun Sun, Dong‐Kyu Lee, Murukarthick Jayakodi, et al.. (2016). Comparative analysis of the transcriptomes and primary metabolite profiles of adventitious roots of five Panax ginseng cultivars. Journal of Ginseng Research. 41(1). 60–68. 18 indexed citations
18.
Lee, Jonghoon, Nur Izzah, Murukarthick Jayakodi, et al.. (2015). Genome-wide SNP identification and QTL mapping for black rot resistance in cabbage. BMC Plant Biology. 15(1). 32–32. 59 indexed citations
19.
Izzah, Nur, Jonghoon Lee, Murukarthick Jayakodi, et al.. (2014). Transcriptome sequencing of two parental lines of cabbage (Brassica oleracea L. var. capitata L.) and construction of an EST-based genetic map. BMC Genomics. 15(1). 149–149. 44 indexed citations
20.
Jayakodi, Murukarthick, Sang‐Choon Lee, Hyun-Seung Park, et al.. (2014). Transcriptome profiling and comparative analysis of Panax ginseng adventitious roots. Journal of Ginseng Research. 38(4). 278–288. 47 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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