Shivashankar H. Nagaraj

10.0k total citations · 1 hit paper
56 papers, 5.0k citations indexed

About

Shivashankar H. Nagaraj is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Shivashankar H. Nagaraj has authored 56 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Genetics. Recurrent topics in Shivashankar H. Nagaraj's work include Bioinformatics and Genomic Networks (8 papers), Genomics and Phylogenetic Studies (7 papers) and Cancer Cells and Metastasis (7 papers). Shivashankar H. Nagaraj is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Genomics and Phylogenetic Studies (7 papers) and Cancer Cells and Metastasis (7 papers). Shivashankar H. Nagaraj collaborates with scholars based in Australia, United States and India. Shivashankar H. Nagaraj's co-authors include Ana Conesa, Manuel Talón, Javier Terol, Montserrat Robles, Juan M. García‐Gómez, María José Nueda, Stefan Götz, Tim Williams, Joaquı́n Dopazo and Antônio Reverter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Shivashankar H. Nagaraj

54 papers receiving 4.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-throughput functional annotation and data mining with the Blast2GO suite

2008 3.3k citations Stefan Götz, Juan M. García‐Gómez et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shivashankar H. Nagaraj Australia	22	2.3k	1.3k	937	732	437	56	5.0k
François Chevenet France	14	2.7k 1.2×	1.4k 1.1×	502 0.5×	835 1.1×	416 1.0×	24	5.4k
María José Nueda Spain	13	2.6k 1.1×	1.6k 1.2×	653 0.7×	519 0.7×	451 1.0×	24	4.8k
Ian Longden United Kingdom	2	4.7k 2.0×	1.7k 1.3×	1.1k 1.1×	1.2k 1.7×	341 0.8×	2	7.3k
Lukas Wagner United States	9	3.4k 1.5×	1.2k 0.9×	697 0.7×	1.0k 1.4×	313 0.7×	11	6.1k
Nicola Buso United Kingdom	5	3.1k 1.3×	944 0.7×	594 0.6×	582 0.8×	243 0.6×	5	5.2k
Adrian R. Tivey United Kingdom	7	3.2k 1.4×	1.0k 0.7×	628 0.7×	677 0.9×	233 0.5×	7	5.5k
Chanjuan Zheng China	15	3.9k 1.7×	2.1k 1.5×	564 0.6×	816 1.1×	341 0.8×	30	6.5k
Paul Kersey United Kingdom	28	3.1k 1.3×	1.4k 1.0×	841 0.9×	527 0.7×	144 0.3×	55	4.9k
LaDeana Hillier United States	22	5.0k 2.1×	2.2k 1.6×	2.0k 2.1×	1.1k 1.6×	327 0.7×	32	8.4k

Countries citing papers authored by Shivashankar H. Nagaraj

Since Specialization

Citations

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

Fields of papers citing papers by Shivashankar H. Nagaraj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shivashankar H. Nagaraj. 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 Shivashankar H. Nagaraj. The network helps show where Shivashankar H. Nagaraj may publish in the future.

Co-authorship network of co-authors of Shivashankar H. Nagaraj

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

All Works

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20 of 20 papers shown

Gaedigk, Andrea, et al.. (2025). Long‐Read Sequencing Enhances Pharmacogenomic Profiling by Resolving Complex Haplotypes, Novel Star Alleles, and Structural Variants. Clinical Pharmacology & Therapeutics. 119(2). 536–545.

Dudley, Kevin J., et al.. (2024). VPBrowse: Genome‐based representation of MS/MS spectra to quantify 10,000 bovine proteins. PROTEOMICS. 24(14). e2300431–e2300431. 1 indexed citations

Corpas, Manuel, Heinner Guio, Miriam Dwek, et al.. (2024). Bridging genomics’ greatest challenge: The diversity gap. Cell Genomics. 5(1). 100724–100724. 6 indexed citations

Arunachalam, V., Rod A. Lea, Wendy E. Hoy, et al.. (2024). Novel genetic markers for chronic kidney disease in a geographically isolated population of Indigenous Australians: Individual and multiple phenotype genome-wide association study. Genome Medicine. 16(1). 29–29. 1 indexed citations

Nasir, Bushra, et al.. (2024). A Systematic Review Exploring Empirical Pharmacogenomics Research Within Global Indigenous Populations. Molecular Genetics & Genomic Medicine. 12(10). e70018–e70018.

Muller, Kristen E., et al.. (2023). Machine Learning-Based Prediction of Distant Recurrence in Invasive Breast Carcinoma Using Clinicopathological Data: A Cross-Institutional Study. Cancers. 15(15). 3960–3960. 3 indexed citations

Venkataraman, Vivek, et al.. (2022). ImaGene: a web-based software platform for tumor radiogenomic evaluation and reporting. Bioinformatics Advances. 2(1). vbac079–vbac079. 6 indexed citations

Roulis, Eileen, Simon J. Craddock Lee, Paul Lacaze, et al.. (2022). Using whole-genome sequencing to characterize clinically significant blood groups among healthy older Australians. Blood Advances. 6(15). 4593–4604. 2 indexed citations

Roulis, Eileen, Simon J. Craddock Lee, Natalie M. Pecheniuk, et al.. (2022). RBCeq: A robust and scalable algorithm for accurate genetic blood typing. EBioMedicine. 76. 103759–103759. 6 indexed citations

10.

Rophina, Mercy, et al.. (2021). BGvar : A comprehensive resource for blood group immunogenetics. Transfusion Medicine. 32(3). 229–236. 2 indexed citations

11.

Logan, Jayden, Mark S. Pearson, Srikanth S. Manda, et al.. (2020). Comprehensive analysis of the secreted proteome of adult Necator americanus hookworms. PLoS neglected tropical diseases. 14(5). e0008237–e0008237. 30 indexed citations

12.

Nagaraj, Shivashankar H., Harsha Gowda, Antônio Reverter, et al.. (2012). Proteomic analysis of the abomasal mucosal response following infection by the nematode, Haemonchus contortus, in genetically resistant and susceptible sheep. Journal of Proteomics. 75(7). 2141–2152. 24 indexed citations

13.

Nagaraj, Shivashankar H., et al.. (2012). Molecular cloning and characterisation of ovine dual oxidase 2. Gene. 500(1). 40–46. 2 indexed citations

14.

Jager, Nadia de, Nicholas J. Hudson, Antônio Reverter, et al.. (2011). Chronic exposure to anabolic steroids induces the muscle expression of oxytocin and a more than fiftyfold increase in circulating oxytocin in cattle. Physiological Genomics. 43(9). 467–478. 42 indexed citations

15.

Gu, Quan, Shivashankar H. Nagaraj, Nicholas J. Hudson, Brian P. Dalrymple, & Antônio Reverter. (2011). Genome-wide patterns of promoter sharing and co-expression in bovine skeletal muscle. BMC Genomics. 12(1). 23–23. 18 indexed citations

16.

Fortes, Marina R. S., Antônio Reverter, Yuandan Zhang, et al.. (2010). A New Method for Exploring Genome-wide Associations Applied to Cattle Puberty. RUNE (Research UNE). 185. 2 indexed citations

17.

Götz, Stefan, Juan M. García‐Gómez, Javier Terol, et al.. (2008). High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic Acids Research. 36(10). 3420–3435. 3347 indexed citations breakdown →

18.

Nagaraj, Shivashankar H., Robin B. Gasser, & Shoba Ranganathan. (2008). Needles in the EST Haystack: Large-Scale Identification and Analysis of Excretory-Secretory (ES) Proteins in Parasitic Nematodes Using Expressed Sequence Tags (ESTs). PLoS neglected tropical diseases. 2(9). e301–e301. 39 indexed citations

19.

Campbell, Bronwyn E., Shivashankar H. Nagaraj, Min Hu, et al.. (2007). Gender-enriched transcripts in Haemonchus contortus – predicted functions and genetic interactions based on comparative analyses with Caenorhabditis elegans. International Journal for Parasitology. 38(1). 65–83. 35 indexed citations

20.

Nagaraj, Shivashankar H., Robin B. Gasser, & Shoba Ranganathan. (2006). A hitchhiker's guide to expressed sequence tag (EST) analysis. Briefings in Bioinformatics. 8(1). 6–21. 195 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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