Udaykumar Ranga
- Molecular Biology top 5%
- Virology top 0.5%
- Infectious Diseases top 2%
- Epidemiology top 10%
- Immunology top 10%
- Co-authors
- Nagadenahalli B. SiddappaTapas K. KunduSwaminathan VenkateshKaranam BalasubramanyamRadhika A. VarierMohammad AltafSwaminathan SethuramanLakshmi Narashimhan Ramana
- Topics
- HIV Research and Treatment (61 papers)HIV/AIDS drug development and treatment (28 papers)Immune Cell Function and Interaction (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Udaykumar Ranga
72 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.4k
- Virology 1.2k
- Infectious Diseases 657
- Epidemiology 425
- Immunology 382
Countries citing papers authored by Udaykumar Ranga
This map shows the geographic impact of Udaykumar Ranga'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 Udaykumar Ranga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udaykumar Ranga more than expected).
Fields of papers citing papers by Udaykumar Ranga
This network shows the impact of papers produced by Udaykumar Ranga. 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 Udaykumar Ranga. The network helps show where Udaykumar Ranga may publish in the future.
Co-authorship network of co-authors of Udaykumar Ranga
This figure shows the co-authorship network connecting the top 25 collaborators of Udaykumar Ranga. A scholar is included among the top collaborators of Udaykumar Ranga 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 Udaykumar Ranga. Udaykumar Ranga 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 | 0 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 75 | |
| 9 | 52 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 46 | |
| 13 | HIV/AIDS research in India: past, present and future. | 4 |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 24 | |
| 17 | 114 | |
| 18 | 161 | |
| 19 | 25 | |
| 20 | Curcumin, a Novel p300/CREB-binding Protein-specific Inhibitor of Acetyltransferase, Represses the Acetylation of Histone/Nonhistone Proteins and Histone Acetyltransferase-dependent Chromatin Transcriptionbreakdown → | 651 |
About Udaykumar Ranga
Udaykumar Ranga is a scholar working on Virology, Infectious Diseases and Immunology, having authored 79 papers that have together received 2.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (61 papers), HIV/AIDS drug development and treatment (28 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (657 citations) and Molecular Medicine (152 citations). Udaykumar Ranga has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Nagadenahalli B. Siddappa, Tapas K. Kundu, Swaminathan Venkatesh, Karanam Balasubramanyam, Radhika A. Varier, Mohammad Altaf, Swaminathan Sethuraman, Lakshmi Narashimhan Ramana, Clive Woffendin and Gary J. Nabel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.