Ramesh Akkina
- Virology top 0.2%
- HIV Research and Treatment 65
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment 12
- Immunology top 2%
- Immune Cell Function and Interaction 29
- T-cell and B-cell Immunology 13
- Genetics top 2%
- Virus-based gene therapy research 32
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 28
- Advanced biosensing and bioanalysis techniques 11
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- Animal Disease Management and Epidemiology 10
- Co-authors
- Joseph S. AndersonJohn J. RossiC. Preston NeffAkhil C. BanerjeaJiehua ZhouHaitang LiVicente PlanellesPiotr Swiderski
- Journals
- Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)
- Partner nations
- United StatesPhilippinesGermany
In The Last Decade
Ramesh Akkina
100 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 102
- Virology 1.8k
- Infectious Diseases 1.1k
- Immunology 1.3k
- Genetics 1.1k
- Molecular Biology 2.3k
Countries citing papers authored by Ramesh Akkina
This map shows the geographic impact of Ramesh Akkina'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 Ramesh Akkina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Akkina more than expected).
Fields of papers citing papers by Ramesh Akkina
This network shows the impact of papers produced by Ramesh Akkina. 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 Ramesh Akkina. The network helps show where Ramesh Akkina may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ramesh Akkina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2018 | 19 | |
| 4 | 2017 | 18 | |
| 5 | 2017 | 35 | |
| 6 | 2015 | 52 | |
| 7 | 2015 | 18 | |
| 8 | 2012 | 184 | |
| 9 | 2012 | 134 | |
| 10 | 2010 | 90 | |
| 11 | 2009 | 16 | |
| 12 | 2009 | 50 | |
| 13 | 2006 | 47 | |
| 14 | 2003 | 66 | |
| 15 | 2002 | 36 | |
| 16 | 2001 | 33 | |
| 17 | 1998 | 15 | |
| 18 | 1997 | 17 | |
| 19 | 1997 | 33 | |
| 20 | 1995 | 71 |
About Ramesh Akkina
Ramesh Akkina is a scholar working on Virology, Immunology and Infectious Diseases, having authored 102 papers that have together received 4.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (65 papers), Virus-based gene therapy research (32 papers), Immune Cell Function and Interaction (29 papers), RNA Interference and Gene Delivery (28 papers), T-cell and B-cell Immunology (13 papers), HIV/AIDS drug development and treatment (12 papers), Advanced biosensing and bioanalysis techniques (11 papers) and Animal Disease Management and Epidemiology (10 papers). The work is most often cited by research in Virology (1.8k citations), Infectious Diseases (1.1k citations) and Immunology (1.3k citations). Ramesh Akkina has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Joseph S. Anderson, John J. Rossi, C. Preston Neff, Akhil C. Banerjea, Jiehua Zhou, Haitang Li, Vicente Planelles, Piotr Swiderski, Thomas M. Chambers and Bradford K. Berges. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.
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.