Sukhjiwan Kaur

2.4k total citations
53 papers, 1.4k citations indexed

About

Sukhjiwan Kaur is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Sukhjiwan Kaur has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 7 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Genetics. Recurrent topics in Sukhjiwan Kaur's work include Genetic and Environmental Crop Studies (39 papers), Agricultural pest management studies (31 papers) and Legume Nitrogen Fixing Symbiosis (21 papers). Sukhjiwan Kaur is often cited by papers focused on Genetic and Environmental Crop Studies (39 papers), Agricultural pest management studies (31 papers) and Legume Nitrogen Fixing Symbiosis (21 papers). Sukhjiwan Kaur collaborates with scholars based in Australia, United States and Spain. Sukhjiwan Kaur's co-authors include John W. Forster, Noel O. I. Cogan, Michael Materne, Shimna Sudheesh, Jeffrey G. Paull, Luke W. Pembleton, Keith W. Savin, Anthony T. Slater, Maria Stella Lombardi and Antonio Leonforte and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sukhjiwan Kaur

52 papers receiving 1.4k citations

Peers

Sukhjiwan Kaur

GENET

EEBS

ACS

Michaël Abrouk Czechia

Yonghong Zhou China

Reza Talebı Iran

Arnaud Bellec France

Jung‐Kyung Moon South Korea

Deepa Jaganathan India

Ursula K. Frei United States

Bernd Hackauf Germany

Rouf Mian United States

K. B. Saxena India

Michaël Abrouk Czechia

Sukhjiwan Kaur

1.0k ×0.8

378 ×1.7

316 ×1.8

GENET

121 ×0.8

EEBS

92 ×1.4

ACS

Citations per year, relative to Sukhjiwan Kaur Sukhjiwan Kaur (= 1×) peers Michaël Abrouk

Countries citing papers authored by Sukhjiwan Kaur

Since Specialization

Citations

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

Fields of papers citing papers by Sukhjiwan Kaur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukhjiwan Kaur

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lin, Zhaomiao, Yongjun Li, Adnan Riaz, et al.. (2025). Assessing the utility of genomic selection to breed for durable Ascochyta blight resistance in chickpea. The Plant Genome. 18(2). e70023–e70023.

MacLeod, Iona M., Gabriel Keeble‐Gagnère, Denise M. Barbulescu, et al.. (2025). Using genotype imputation to integrate Canola populations for genome-wide association and genomic prediction of blackleg resistance. BMC Genomics. 26(1). 215–215. 1 indexed citations

Kaur, Sukhjiwan, et al.. (2024). Mapping and quantifying unique branching structures in lentil (Lens culinaris Medik.). Plant Methods. 20(1). 95–95. 2 indexed citations

Gebremedhin, Alem, Yongjun Li, Shimna Sudheesh, et al.. (2024). Genomic selection for target traits in the Australian lentil breeding program. Frontiers in Plant Science. 14. 1284781–1284781. 4 indexed citations

Akparov, Zeynal, Mehraj Abbasov, Sukhjiwan Kaur, et al.. (2023). Two major chromosome evolution events with unrivaled conserved gene content in pomegranate. Frontiers in Plant Science. 14. 1039211–1039211. 1 indexed citations

Khansefid, Majid, Shimna Sudheesh, Sameer Joshi, et al.. (2022). Combining NDVI and Bacterial Blight Score to Predict Grain Yield in Field Pea. Frontiers in Plant Science. 13. 923381–923381. 4 indexed citations

Li, Yongjun, et al.. (2022). Strategies of preserving genetic diversity while maximizing genetic response from implementing genomic selection in pulse breeding programs. Theoretical and Applied Genetics. 135(6). 1813–1828. 11 indexed citations

Rosewarne, Garry M., et al.. (2022). Advances in lentil production through heterosis: Evaluating generations and breeding systems. PLoS ONE. 17(2). e0262857–e0262857. 3 indexed citations

Cogan, Noel O. I., et al.. (2020). Characterization of Genetic and Allelic Diversity Amongst Cultivated and Wild Lentil Accessions for Germplasm Enhancement. Frontiers in Genetics. 11. 546–546. 16 indexed citations

10.

Rodda, Matthew S., J.A. Davidson, Muhammad Javid, et al.. (2017). Molecular Breeding for Ascochyta Blight Resistance in Lentil: Current Progress and Future Directions. Frontiers in Plant Science. 8. 1136–1136. 20 indexed citations

11.

Barbulescu, Denise M., Sally Norton, Bob Redden, et al.. (2017). A multiplex PCR for rapid identification of Brassica species in the triangle of U. Plant Methods. 13(1). 49–49. 23 indexed citations

12.

Sudheesh, Shimna, Matthew S. Rodda, J. A. Davidson, et al.. (2016). SNP-Based Linkage Mapping for Validation of QTLs for Resistance to Ascochyta Blight in Lentil. Frontiers in Plant Science. 7. 1604–1604. 33 indexed citations

13.

Sudheesh, Shimna, Preeti Verma, John W. Forster, Noel O. I. Cogan, & Sukhjiwan Kaur. (2016). Generation and Characterisation of a Reference Transcriptome for Lentil (Lens culinaris Medik.). International Journal of Molecular Sciences. 17(11). 1887–1887. 38 indexed citations

14.

Javid, Muhammad, Garry M. Rosewarne, Shimna Sudheesh, et al.. (2015). Validation of molecular markers associated with boron tolerance, powdery mildew resistance and salinity tolerance in field peas. Frontiers in Plant Science. 6. 917–917. 25 indexed citations

15.

Giordano, Andrea, Noel O. I. Cogan, Sukhjiwan Kaur, et al.. (2014). Gene Discovery and Molecular Marker Development, Based on High-Throughput Transcript Sequencing of Paspalum dilatatum Poir. PLoS ONE. 9(2). e85050–e85050. 13 indexed citations

16.

Lombardi, Maria Stella, Michael Materne, Noel O. I. Cogan, et al.. (2014). Assessment of genetic variation within a global collection of lentil (Lens culinarisMedik.) cultivars and landraces using SNP markers. BMC Genetics. 15(1). 150–150. 49 indexed citations

17.

Kaur, Sukhjiwan, R. B. E. Kimber, Noel O. I. Cogan, et al.. (2013). SNP discovery and high-density genetic mapping in faba bean (Vicia faba L.) permits identification of QTLs for ascochyta blight resistance. Plant Science. 217-218. 47–55. 85 indexed citations

18.

Kaur, Sukhjiwan, et al.. (2013). EST-SNP discovery and dense genetic mapping in lentil (Lens culinaris Medik.) enable candidate gene selection for boron tolerance. Theoretical and Applied Genetics. 127(3). 703–713. 59 indexed citations

19.

Leonforte, Antonio, Shimna Sudheesh, Noel O. I. Cogan, et al.. (2013). SNP marker discovery, linkage map construction and identification of QTLs for enhanced salinity tolerance in field pea (Pisum sativumL.). BMC Plant Biology. 13(1). 161–161. 93 indexed citations

20.

Kaur, Sukhjiwan, Noel O. I. Cogan, Luke W. Pembleton, et al.. (2011). Transcriptome sequencing of lentil based on second-generation technology permits large-scale unigene assembly and SSR marker discovery. BMC Genomics. 12(1). 265–265. 149 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.

Explore authors with similar magnitude of impact