Dipika Bansal
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Neurology top 5%
- Molecular Biology
- Co-authors
- Kapil GudalaAnil BhansaliFabrizio SchifanoKrishna UndelaBabita GhaiSanjay D’CruzDebasish HotaPinaki Dutta
- Topics
- Musculoskeletal pain and rehabilitation (20 papers)Pain Mechanisms and Treatments (15 papers)Epilepsy research and treatment (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Dipika Bansal
94 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Physiology 717
- Endocrinology, Diabetes and Metabolism 401
- Surgery 397
- Neurology 396
- Molecular Biology 392
Countries citing papers authored by Dipika Bansal
This map shows the geographic impact of Dipika 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 Dipika Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipika Bansal more than expected).
Fields of papers citing papers by Dipika Bansal
This network shows the impact of papers produced by Dipika 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 Dipika Bansal. The network helps show where Dipika Bansal may publish in the future.
Co-authorship network of co-authors of Dipika Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Dipika Bansal. A scholar is included among the top collaborators of Dipika 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 Dipika Bansal. Dipika 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 23 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | Hypothalamic Pituitary Adrenocortical Axis Suppression following a Single Epidural Injection of Methylprednisolone Acetate. | 29 |
| 13 | High Prevalence of Hypovitaminosis D in Indian Chronic Low Back Patients. | 20 |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | TRABECTEDIN-RELATED MUSCULAR AND OTHER ADVERSE EFFECTS; DATA FROM PUBLIC VERSION OF THE FDA ADVERSE EVENT REPORTING SYSTEM | 1 |
| 20 | EFFECT OF DIETARY ZINC DEFICIENCY ON THE SKELETAL MUSCLES OF MOSQUITO FISH, GAMBUSIA AFFINIS | 1 |
About Dipika Bansal
Dipika Bansal is a scholar working on Applied Microbiology and Biotechnology, Pharmacology and Anesthesiology and Pain Medicine, having authored 106 papers that have together received 2.4k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (20 papers), Pain Mechanisms and Treatments (15 papers) and Epilepsy research and treatment (13 papers). The work is most often cited by research in Physiology (717 citations), Neurology (396 citations) and Endocrinology, Diabetes and Metabolism (401 citations). Dipika Bansal has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Kapil Gudala, Anil Bhansali, Fabrizio Schifano, Krishna Undela, Babita Ghai, Sanjay D’Cruz, Debasish Hota, Pinaki Dutta, Amitava Chakrabarti and Pramil Tiwari. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.