Harbans Bariana

9.8k total citations · 2 hit papers
124 papers, 5.8k citations indexed

About

Harbans Bariana is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Harbans Bariana has authored 124 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Plant Science, 41 papers in Molecular Biology and 22 papers in Genetics. Recurrent topics in Harbans Bariana's work include Wheat and Barley Genetics and Pathology (113 papers), Plant Disease Resistance and Genetics (69 papers) and Genetics and Plant Breeding (55 papers). Harbans Bariana is often cited by papers focused on Wheat and Barley Genetics and Pathology (113 papers), Plant Disease Resistance and Genetics (69 papers) and Genetics and Plant Breeding (55 papers). Harbans Bariana collaborates with scholars based in Australia, United States and India. Harbans Bariana's co-authors include Urmil Bansal, R. A. McIntosh, Evans Lagudah, Matthew Hayden, Ravi P. Singh, Wolfgang Spielmeyer, Julio Huerta‐Espino, Rohit Mago, Sambasivam Periyannan and Hanif Miah and has published in prestigious journals such as Science, Nature Genetics and Nature Biotechnology.

In The Last Decade

Harbans Bariana

121 papers receiving 5.6k citations

Hit Papers

A recently evolved hexose transporter variant confers res... 2015 2026 2018 2022 2015 2016 100 200 300 400 500

Peers

Harbans Bariana
R. A. McIntosh Australia
M. D. Gale United Kingdom
Peter G. Isaac United Kingdom
C. Wellings Australia
Steven S. Xu United States
R.E. Niks Netherlands
Harbans Bariana
Citations per year, relative to Harbans Bariana Harbans Bariana (= 1×) peers Marcelo Helguera

Countries citing papers authored by Harbans Bariana

Since Specialization
Citations

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

Fields of papers citing papers by Harbans Bariana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harbans Bariana

This figure shows the co-authorship network connecting the top 25 collaborators of Harbans Bariana. A scholar is included among the top collaborators of Harbans Bariana 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 Harbans Bariana. Harbans Bariana 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.
Joukhadar, Reem, Richard Trethowan, Urmil Bansal, et al.. (2025). Genomic exploration of durable wheat rust resistance by integrating data from multiple worldwide populations. The Plant Genome. 18(3). e70093–e70093. 1 indexed citations
2.
McGee, Rebecca J., Barry L. Tillman, Owen Wally, et al.. (2025). Breeding for quantitative disease resistance: Case studies, emerging approaches, and exploiting pathogen variation. Crop Science. 65(6).
3.
Sharma, R. K., Chunhong Chen, Peng Zhang, et al.. (2025). Genomic analysis of two all-stage stripe rust resistance genes in the Vavilov wheat landrace AGG40807WHEA1. Theoretical and Applied Genetics. 138(8). 180–180.
4.
Chen, Chunhong, Hanif Miah, Mehran Patpour, et al.. (2023). Sr65: a widely effective gene for stem rust resistance in wheat. Theoretical and Applied Genetics. 137(1). 1–1. 5 indexed citations
5.
Bariana, Harbans, et al.. (2023). The Keys to Controlling Wheat Rusts: Identification and Deployment of Genetic Resistance. Phytopathology. 113(4). 667–677. 7 indexed citations
6.
Qureshi, Naeela, Jianbo Li, M. S. Randhawa, et al.. (2023). Relocation of Sr48 to Chromosome 2D Using an Alternative Mapping Population and Development of a Closely Linked Marker Using Diverse Molecular Technologies. Plants. 12(8). 1601–1601. 1 indexed citations
7.
Mago, Rohit, Chunhong Chen, Xiaodi Xia, et al.. (2022). Adult plant stem rust resistance in durum wheat Glossy Huguenot: mapping, marker development and validation. Theoretical and Applied Genetics. 135(5). 1541–1550. 15 indexed citations
8.
Ijaz, Usman, Kedar Adhikari, R. B. E. Kimber, et al.. (2020). Pathogenic Specialization in Uromyces viciae-fabae in Australia and Rust Resistance in Faba Bean. Plant Disease. 105(3). 636–642. 5 indexed citations
9.
Qureshi, Naeela, Pippa Kay, Kerrie Forrest, et al.. (2020). Fine Mapping of Lr49 Using 90K SNP Chip Array and Flow-Sorted Chromosome Sequencing in Wheat. Frontiers in Plant Science. 10. 1787–1787. 17 indexed citations
10.
Qureshi, Naeela, Harbans Bariana, Kerrie Forrest, et al.. (2016). Fine mapping of the chromosome 5B region carrying closely linked rust resistance genes Yr47 and Lr52 in wheat. Theoretical and Applied Genetics. 130(3). 495–504. 33 indexed citations
11.
Steuernagel, Burkhard, Sambasivam Periyannan, Inmaculada Hernández‐Pinzón, et al.. (2016). Rapid cloning of disease-resistance genes in plants using mutagenesis and sequence capture. Nature Biotechnology. 34(6). 652–655. 280 indexed citations breakdown →
12.
Bansal, Urmil, et al.. (2016). Tight repulsion linkage between Sr36 and Sr39 was revealed by genetic, cytogenetic and molecular analyses. Theoretical and Applied Genetics. 130(3). 587–595. 15 indexed citations
13.
Bansal, Urmil, Sher Muhammad, Kerrie Forrest, Matthew Hayden, & Harbans Bariana. (2015). Mapping of a new stem rust resistance gene Sr49 in chromosome 5B of wheat. Theoretical and Applied Genetics. 128(10). 2113–2119. 19 indexed citations
14.
Bansal, Urmil, et al.. (2014). Identification of a co-dominant eSTS marker linked with leaf rust resistance gene 'Lr28' in wheat ('Triticum aestivum' L.). Australian Journal of Crop Science. 8(8). 1210–1215. 2 indexed citations
15.
Singh, Baljit, et al.. (2014). Postulation of resistance genes and assessment of adult plant response variation for stripe rust in three international wheat nurseries. Indian Journal of Genetics and Plant Breeding (The). 74(1). 1–1. 2 indexed citations
16.
Daetwyler, Hans D., Urmil Bansal, Harbans Bariana, Matthew Hayden, & Ben J. Hayes. (2014). Genomic prediction for rust resistance in diverse wheat landraces. Theoretical and Applied Genetics. 127(8). 1795–1803. 83 indexed citations
17.
Periyannan, Sambasivam, John Moore, Michael Ayliffe, et al.. (2013). The Gene Sr33, an Ortholog of Barley Mla Genes, Encodes Resistance to Wheat Stem Rust Race Ug99. Science. 341(6147). 786–788. 266 indexed citations
18.
Palombo, Enzo A., et al.. (2013). Stability of puroindoline peptides and effects on wheat rust. World Journal of Microbiology and Biotechnology. 29(8). 1409–1419. 15 indexed citations
19.
Herrera-Foessel, S. A., Evans Lagudah, Julio Huerta‐Espino, et al.. (2010). New slow-rusting leaf rust and stripe rust resistance genes Lr67 and Yr46 in wheat are pleiotropic or closely linked. Theoretical and Applied Genetics. 122(1). 239–249. 213 indexed citations
20.
Mago, Rohit, Harbans Bariana, Ian Dundas, et al.. (2005). Development of PCR markers for the selection of wheat stem rust resistance genes Sr24 and Sr26 in diverse wheat germplasm. Theoretical and Applied Genetics. 111(3). 496–504. 185 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

Rankless by CCL
2026