Raj Pasam

6.1k total citations
16 papers, 747 citations indexed

About

Raj Pasam is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Raj Pasam has authored 16 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 12 papers in Genetics and 1 paper in Molecular Biology. Recurrent topics in Raj Pasam's work include Wheat and Barley Genetics and Pathology (11 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetics and Plant Breeding (10 papers). Raj Pasam is often cited by papers focused on Wheat and Barley Genetics and Pathology (11 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Genetics and Plant Breeding (10 papers). Raj Pasam collaborates with scholars based in Australia, Germany and United Kingdom. Raj Pasam's co-authors include Rajiv Sharma, Andreas Graner, Benjamin Kilian, Marcos Malosetti, Fred A. van Eeuwijk, Grit Haseneyer, Matthew Hayden, Josquin Tibbits, Ahmad M. Alqudah and Thorsten Schnurbusch and has published in prestigious journals such as PLoS ONE, Journal of Experimental Botany and PLoS Genetics.

In The Last Decade

Raj Pasam

16 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raj Pasam Australia	13	688	381	107	76	34	16	747
Sundeep Kumar India	13	754 1.1×	242 0.6×	129 1.2×	95 1.3×	18 0.5×	30	833
Hildrun Walter Austria	4	696 1.0×	562 1.5×	51 0.5×	118 1.6×	45 1.3×	6	799
Daniel Mullan Australia	12	584 0.8×	236 0.6×	122 1.1×	65 0.9×	42 1.2×	21	621
Sandeep Marla United States	13	509 0.7×	316 0.8×	184 1.7×	126 1.7×	53 1.6×	21	650
Delfina Barabaschi Italy	11	580 0.8×	205 0.5×	73 0.7×	114 1.5×	25 0.7×	18	633
Claude Lebreton France	8	536 0.8×	431 1.1×	73 0.7×	54 0.7×	18 0.5×	9	628
Т. А. Пшеничникова Russia	16	615 0.9×	166 0.4×	162 1.5×	151 2.0×	16 0.5×	68	667
Abdulqader Jighly Australia	17	776 1.1×	402 1.1×	114 1.1×	75 1.0×	13 0.4×	40	823
Malachy T. Campbell United States	16	701 1.0×	371 1.0×	61 0.6×	126 1.7×	91 2.7×	29	826
Joseph L. Gage United States	11	494 0.7×	332 0.9×	52 0.5×	123 1.6×	64 1.9×	14	579

Countries citing papers authored by Raj Pasam

Since Specialization

Citations

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

Fields of papers citing papers by Raj Pasam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raj Pasam

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

All Works

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16 of 16 papers shown

Pasam, Raj, Surya Kant, Sameer Joshi, et al.. (2023). Haplotype-Based Genome-Wide Association Analysis Using Exome Capture Assay and Digital Phenotyping Identifies Genetic Loci Underlying Salt Tolerance Mechanisms in Wheat. Plants. 12(12). 2367–2367. 3 indexed citations

Tavares, Hugo, Anne Readshaw, Urszula Kania, et al.. (2023). Artificial selection reveals complex genetic architecture of shoot branching and its response to nitrate supply in Arabidopsis. PLoS Genetics. 19(8). e1010863–e1010863. 1 indexed citations

Keeble‐Gagnère, Gabriel, Raj Pasam, Kerrie Forrest, et al.. (2021). Novel Design of Imputation-Enabled SNP Arrays for Breeding and Research Applications Supporting Multi-Species Hybridization. Frontiers in Plant Science. 12. 756877–756877. 15 indexed citations

Davies, Philip, et al.. (2021). Relationship between resistance and tolerance of crown rot in bread wheat. Field Crops Research. 265. 108106–108106. 18 indexed citations

Davies, Philip, et al.. (2020). Marker-assisted recurrent selection improves the crown rot resistance of bread wheat. Molecular Breeding. 40(3). 25 indexed citations

Joukhadar, Reem, Grant J. Hollaway, Fan Shi, et al.. (2020). Genome-wide association reveals a complex architecture for rust resistance in 2300 worldwide bread wheat accessions screened under various Australian conditions. Theoretical and Applied Genetics. 133(9). 2695–2712. 25 indexed citations

Banerjee, Bikram Pratap, Sameer Joshi, Raj Pasam, et al.. (2020). High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response. Journal of Experimental Botany. 71(15). 4604–4615. 55 indexed citations

Bariana, Harbans, J. A. Kolmer, Raj Pasam, et al.. (2020). Genomic Prediction of Rust Resistance in Tetraploid Wheat under Field and Controlled Environment Conditions. Agronomy. 10(11). 1843–1843. 7 indexed citations

Jong, Maaike de, Hugo Tavares, Raj Pasam, et al.. (2019). Natural variation in Arabidopsis shoot branching plasticity in response to nitrate supply affects fitness. PLoS Genetics. 15(9). e1008366–e1008366. 31 indexed citations

10.

Voss‐Fels, Kai P., Gabriel Keeble‐Gagnère, Lee T. Hickey, et al.. (2019). High-resolution mapping of rachis nodes per rachis, a critical determinant of grain yield components in wheat. Theoretical and Applied Genetics. 132(9). 2707–2719. 45 indexed citations

11.

Pasam, Raj, Urmil Bansal, Hans D. Daetwyler, et al.. (2017). Detection and validation of genomic regions associated with resistance to rust diseases in a worldwide hexaploid wheat landrace collection using BayesR and mixed linear model approaches. Theoretical and Applied Genetics. 130(4). 777–793. 33 indexed citations

12.

Shi, Fan, Josquin Tibbits, Raj Pasam, et al.. (2017). Exome sequence genotype imputation in globally diverse hexaploid wheat accessions. Theoretical and Applied Genetics. 130(7). 1393–1404. 15 indexed citations

13.

Pasam, Raj, Rajiv Sharma, Alexander Walther, et al.. (2014). Genetic Diversity and Population Structure in a Legacy Collection of Spring Barley Landraces Adapted to a Wide Range of Climates. PLoS ONE. 9(12). e116164–e116164. 50 indexed citations

14.

Alqudah, Ahmad M., Rajiv Sharma, Raj Pasam, et al.. (2014). Genetic Dissection of Photoperiod Response Based on GWAS of Pre-Anthesis Phase Duration in Spring Barley. PLoS ONE. 9(11). e113120–e113120. 85 indexed citations

15.

Pasam, Raj, Rajiv Sharma, Marcos Malosetti, et al.. (2012). Genome-wide association studies for agronomical traits in a world wide spring barley collection. BMC Plant Biology. 12(1). 16–16. 287 indexed citations

16.

Stich, Benjamin, Bettina I. G. Haussmann, Raj Pasam, et al.. (2010). Patterns of molecular and phenotypic diversity in pearl millet [Pennisetum glaucum (L.) R. Br.] from West and Central Africa and their relation to geographical and environmental parameters. BMC Plant Biology. 10(1). 216–216. 52 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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