Venkatasamy Manivel
- Immunology top 10%
- Immunotherapy and Immune Responses 12
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 2
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- Monoclonal and Polyclonal Antibodies Research 8
- Virology top 10%
- Hepatology top 10%
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology 3
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- vaccines and immunoinformatics approaches 7
- Glycosylation and Glycoproteins Research 2
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- Hepatitis B Virus Studies 7
Venkatasamy Manivel
24 papers receiving 656 citations
Peers
Comparison fields: 5 of 68
- Immunology 295
- Radiology, Nuclear Medicine and Imaging 262
- Virology 49
- Hepatology 56
- Infectious Diseases 119
Countries citing papers authored by Venkatasamy Manivel
This map shows the geographic impact of Venkatasamy Manivel'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 Venkatasamy Manivel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venkatasamy Manivel more than expected).
Fields of papers citing papers by Venkatasamy Manivel
This network shows the impact of papers produced by Venkatasamy Manivel. 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 Venkatasamy Manivel. The network helps show where Venkatasamy Manivel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Venkatasamy Manivel, 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 | Differential proteomics approach to identify putative protective antigens of Mycobacterium tuberculosis presented during early stages of macrophage infection and their evaluation as DNA vaccines. | 2015 | 3 |
| 2 | 2014 | 77 | |
| 3 | 2013 | 62 | |
| 4 | 2012 | 8 | |
| 5 | 2011 | 20 | |
| 6 | 2006 | 85 | |
| 7 | 2002 | 69 | |
| 8 | 2000 | 23 | |
| 9 | 2000 | 9 | |
| 10 | 2000 | 159 | |
| 11 | 1998 | 24 | |
| 12 | 1993 | 6 | |
| 13 | Design and synthesis of a self-assembling peptide derived from the envelope proteins of HIV type 1 | 1992 | 1 |
| 14 | 1992 | 19 | |
| 15 | 1992 | 7 | |
| 16 | 1992 | 6 | |
| 17 | 1992 | 11 | |
| 18 | 1992 | 9 | |
| 19 | 1992 | 8 | |
| 20 | 1991 | 8 |
About Venkatasamy Manivel
Venkatasamy Manivel is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 24 papers that have together received 666 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), vaccines and immunoinformatics approaches (7 papers), Hepatitis B Virus Studies (7 papers), T-cell and B-cell Immunology (5 papers), Tuberculosis Research and Epidemiology (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (295 citations), Radiology, Nuclear Medicine and Imaging (262 citations) and Virology (49 citations). Venkatasamy Manivel has collaborated with scholars based in India, Italy and Cuba. Frequent co-authors include Kanury V. S. Rao, Dinakar M. Salunke, Shilpa Jamwal, Zaved Siddiqui, Subrat Kumar Panda, Dhruv K. Sethi, Anupriya Agarwal, Mukul K. Midha, Fahri Bayıroğlu and Samrat Chatterjee. Their work appears in journals such as Immunity, The Journal of Immunology 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.