Shivashankar H. Nagaraj
- Parasitology top 1%
- Parasites and Host Interactions 6
- Plant Science top 2%
- Insect Science top 1%
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 8
- Genomics and Phylogenetic Studies 7
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals 5
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- Cancer Cells and Metastasis 7
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- Pharmacogenetics and Drug Metabolism 6
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- Cancer Genomics and Diagnostics 6
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- Erythrocyte Function and Pathophysiology 5
- Co-authors
- Manuel TalónTim WilliamsMontserrat RoblesJavier TerolMaría José NuedaJuan M. García‐GómezJoaquı́n DopazoStefan Götz
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (2 papers)Bioinformatics (1 paper)
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
Shivashankar H. Nagaraj
54 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Parasitology 399
- Plant Science 1.3k
- Insect Science 437
- Molecular Biology 2.3k
- Genetics 937
Countries citing papers authored by Shivashankar H. Nagaraj
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
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
The 25 scholars most cited alongside Shivashankar H. Nagaraj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 6 | |
| 12 | 2012 | 2 | |
| 13 | 2012 | 24 | |
| 14 | 2011 | 18 | |
| 15 | 2011 | 93 | |
| 16 | A New Method for Exploring Genome-wide Associations Applied to Cattle Puberty | 2010 | 2 |
| 17 | High-throughput functional annotation and data mining with the Blast2GO suitebreakdown → | 2008 | 3347 |
| 18 | 2008 | 149 | |
| 19 | 2007 | 35 | |
| 20 | 2006 | 195 |
About Shivashankar H. Nagaraj
Shivashankar H. Nagaraj is a scholar working on Aging, Parasitology and Pharmacology, having authored 56 papers that have together received 5.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Genomics and Phylogenetic Studies (7 papers), Cancer Cells and Metastasis (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Cancer Genomics and Diagnostics (6 papers), Parasites and Host Interactions (6 papers), Erythrocyte Function and Pathophysiology (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Parasitology (399 citations), Plant Science (1.3k citations) and Insect Science (437 citations). Shivashankar H. Nagaraj has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Manuel Talón, Tim Williams, Montserrat Robles, Javier Terol, María José Nueda, Juan M. García‐Gómez, Joaquı́n Dopazo, Stefan Götz, Ana Conesa and Antônio Reverter. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.
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.