Naveen Vankadari
- Infectious Diseases top 2%
- Molecular Biology
- Neurology top 10%
- Computational Theory and Mathematics top 5%
- Immunology
- Co-authors
- Matthew C. J. WilceChwan‐Deng HsiaoChin-Hsiang ChienYi‐Wei ChangMitnala SasikalaDebnath GhosalHariprasad VenugopalD. Nageshwar Reddy
- Topics
- SARS-CoV-2 and COVID-19 Research (7 papers)RNA and protein synthesis mechanisms (3 papers)Bacterial Genetics and Biotechnology (3 papers)
- Partner nations
- AustraliaUnited StatesTaiwan
In The Last Decade
Naveen Vankadari
21 papers receiving 942 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Infectious Diseases 651
- Molecular Biology 278
- Neurology 122
- Computational Theory and Mathematics 119
- Immunology 96
Countries citing papers authored by Naveen Vankadari
This map shows the geographic impact of Naveen Vankadari'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 Naveen Vankadari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naveen Vankadari more than expected).
Fields of papers citing papers by Naveen Vankadari
This network shows the impact of papers produced by Naveen Vankadari. 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 Naveen Vankadari. The network helps show where Naveen Vankadari may publish in the future.
Co-authorship network of co-authors of Naveen Vankadari
This figure shows the co-authorship network connecting the top 25 collaborators of Naveen Vankadari. A scholar is included among the top collaborators of Naveen Vankadari 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 Naveen Vankadari. Naveen Vankadari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 16 | |
| 7 | 4 | |
| 8 | 27 | |
| 9 | 200 | |
| 10 | 50 | |
| 11 | Emerging COVID-19 coronavirus: glycan shield and structure prediction of spike glycoprotein and its interaction with human CD26breakdown → | 451 |
| 12 | 56 | |
| 13 | 36 | |
| 14 | 0 | |
| 15 | 7 | |
| 16 | 14 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 38 |
About Naveen Vankadari
Naveen Vankadari is a scholar working on Infectious Diseases, Molecular Medicine and Endocrinology, having authored 22 papers that have together received 958 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), RNA and protein synthesis mechanisms (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Infectious Diseases (651 citations), Neurology (122 citations) and Computational Theory and Mathematics (119 citations). Naveen Vankadari has collaborated with scholars based in Australia, United States and Taiwan. Frequent co-authors include Matthew C. J. Wilce, Chwan‐Deng Hsiao, Chin-Hsiang Chien, Yi‐Wei Chang, Mitnala Sasikala, Debnath Ghosal, Hariprasad Venugopal, D. Nageshwar Reddy, Simone A. Beckham and Neelam Shah. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry 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.