Kiran Kalia
- Molecular Biology top 2%
- Biomedical Engineering top 2%
- Biomaterials top 0.5%
- Cancer Research top 2%
- Materials Chemistry top 10%
- Co-authors
- Rakesh Kumar TekadeDnyaneshwar KalyaneNidhi RavalRahul MaheshwariPiyush GondaliyaVishakha TambePallab BhattacharyaDilip Kumar Sharma
- Topics
- MicroRNA in disease regulation (15 papers)Neuroinflammation and Neurodegeneration Mechanisms (14 papers)Nanoparticle-Based Drug Delivery (14 papers)
- Journals
- PLoS ONENeurologyScientific Reports
- Partner nations
- IndiaUnited StatesSri Lanka
In The Last Decade
Kiran Kalia
134 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Molecular Biology 2.5k
- Biomedical Engineering 1.5k
- Biomaterials 1.2k
- Cancer Research 708
- Materials Chemistry 677
Countries citing papers authored by Kiran Kalia
This map shows the geographic impact of Kiran Kalia'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 Kiran Kalia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiran Kalia more than expected).
Fields of papers citing papers by Kiran Kalia
This network shows the impact of papers produced by Kiran Kalia. 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 Kiran Kalia. The network helps show where Kiran Kalia may publish in the future.
Co-authorship network of co-authors of Kiran Kalia
This figure shows the co-authorship network connecting the top 25 collaborators of Kiran Kalia. A scholar is included among the top collaborators of Kiran Kalia 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 Kiran Kalia. Kiran Kalia 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 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 26 | |
| 6 | 0 | |
| 7 | 30 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | Overview of oral cavity squamous cell carcinoma: Risk factors, mechanisms, and diagnosticsbreakdown → | 291 |
| 11 | 37 | |
| 12 | 15 | |
| 13 | 14 | |
| 14 | 34 | |
| 15 | 94 | |
| 16 | 42 | |
| 17 | 79 | |
| 18 | Piezoelectric smart biomaterials for bone and cartilage tissue engineeringbreakdown → | 337 |
| 19 | 75 | |
| 20 | Efficacy of urinary n-acetyl β- D-Glucosaminidase in detecting renal tubular damage: An early consequence in Type 2 diabetes mellitus leading to Diabetic nephropathy | 1 |
About Kiran Kalia
Kiran Kalia is a scholar working on Drug Discovery, Neurology and Nephrology, having authored 136 papers that have together received 6.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers) and Nanoparticle-Based Drug Delivery (14 papers). The work is most often cited by research in Health Informatics (155 citations), Biomaterials (1.2k citations) and Neurology (438 citations). Kiran Kalia has collaborated with scholars based in India, United States and Sri Lanka. Frequent co-authors include Rakesh Kumar Tekade, Dnyaneshwar Kalyane, Nidhi Raval, Rahul Maheshwari, Piyush Gondaliya, Vishakha Tambe, Pallab Bhattacharya, Dilip Kumar Sharma, Govinda Kapusetti and Vinod Tiwari. Their work appears in journals such as PLoS ONE, Neurology and Scientific Reports.
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.