Anushya Muruganujan
- Molecular Biology top 0.5%
- Genetics top 0.5%
- Cancer Research top 1%
- Plant Science top 2%
- Immunology top 2%
- Co-authors
- Paul D. ThomasHuaiyu MiDustin EbertXiaosong HuangJohn T. CasagrandeLaurent‐Philippe AlbouAnish KejariwalApurva Narechania
- Topics
- Bioinformatics and Genomic Networks (13 papers)Genomics and Phylogenetic Studies (11 papers)Biomedical Text Mining and Ontologies (5 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Anushya Muruganujan
17 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 8.0k
- Genetics 2.1k
- Cancer Research 1.6k
- Plant Science 1.3k
- Immunology 1.3k
Countries citing papers authored by Anushya Muruganujan
This map shows the geographic impact of Anushya Muruganujan'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 Anushya Muruganujan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anushya Muruganujan more than expected).
Fields of papers citing papers by Anushya Muruganujan
This network shows the impact of papers produced by Anushya Muruganujan. 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 Anushya Muruganujan. The network helps show where Anushya Muruganujan may publish in the future.
Co-authorship network of co-authors of Anushya Muruganujan
This figure shows the co-authorship network connecting the top 25 collaborators of Anushya Muruganujan. A scholar is included among the top collaborators of Anushya Muruganujan 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 Anushya Muruganujan. Anushya Muruganujan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 896 | |
| 3 | 13 | |
| 4 | PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive APIbreakdown → | 862 |
| 5 | 26 | |
| 6 | Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v.14.0)breakdown → | 967 |
| 7 | 13 | |
| 8 | PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis toolsbreakdown → | 1928 |
| 9 | PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancementsbreakdown → | 1525 |
| 10 | PANTHER version 10: expanded protein families and functions, and analysis toolsbreakdown → | 644 |
| 11 | Large-scale gene function analysis with the PANTHER classification systembreakdown → | 1837 |
| 12 | 15 | |
| 13 | PANTHER in 2013: modeling the evolution of gene function, and other gene attributes, in the context of phylogenetic treesbreakdown → | 1339 |
| 14 | 13 | |
| 15 | 461 | |
| 16 | 1 | |
| 17 | PANTHER: A Library of Protein Families and Subfamilies Indexed by Functionbreakdown → | 2281 |
About Anushya Muruganujan
Anushya Muruganujan is a scholar working on Molecular Biology, Genetics and Plant Science, having authored 17 papers that have together received 12.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Genomics and Phylogenetic Studies (11 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Aging (219 citations), Molecular Biology (8.0k citations) and Cancer Research (1.6k citations). Anushya Muruganujan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Paul D. Thomas, Huaiyu Mi, Dustin Ebert, Xiaosong Huang, John T. Casagrande, Laurent‐Philippe Albou, Anish Kejariwal, Apurva Narechania, Michael J. Campbell and Haiming Tang. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.