Aruna T. Bansal
- Genetics top 5%
- Molecular Biology
- Pharmacology top 5%
- Rheumatology top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- John YoungAnita SainsburyIan J. PurvisJohn RileyLouise K. HoskingChun‐Fang XuKaren LewisLinda McCarthy
- Topics
- Genetic Associations and Epidemiology (7 papers)Asthma and respiratory diseases (7 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetSHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Aruna T. Bansal
39 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 128
- Genetics 478
- Molecular Biology 475
- Pharmacology 216
- Rheumatology 187
- Pathology and Forensic Medicine 181
Countries citing papers authored by Aruna T. Bansal
This map shows the geographic impact of Aruna T. Bansal'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 Aruna T. Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aruna T. Bansal more than expected).
Fields of papers citing papers by Aruna T. Bansal
This network shows the impact of papers produced by Aruna T. Bansal. 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 Aruna T. Bansal. The network helps show where Aruna T. Bansal may publish in the future.
Co-authorship network of co-authors of Aruna T. Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Aruna T. Bansal. A scholar is included among the top collaborators of Aruna T. Bansal 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 Aruna T. Bansal. Aruna T. Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 44 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 22 | |
| 7 | 15 | |
| 8 | 39 | |
| 9 | 88 | |
| 10 | Genetic Markers in Relation to Bevacizumab-induced Hypertension | 1 |
| 11 | 16 | |
| 12 | 20 | |
| 13 | 96 | |
| 14 | 185 | |
| 15 | 119 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 13 | |
| 20 | 23 |
About Aruna T. Bansal
Aruna T. Bansal is a scholar working on Health Informatics, Genetics and Orthopedics and Sports Medicine, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Asthma and respiratory diseases (7 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Geriatrics and Gerontology (97 citations), Genetics (478 citations) and Pharmacology (216 citations). Aruna T. Bansal has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include John Young, Anita Sainsbury, Ian J. Purvis, John Riley, Louise K. Hosking, Chun‐Fang Xu, Karen Lewis, Linda McCarthy, Astrid Yeo and Alun Thomas. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.
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.