Gomase VS
Impact in
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- vaccines and immunoinformatics approaches
- Metabolomics and Mass Spectrometry Studies
- Molecular Biology Techniques and Applications
- Biochemical and Structural Characterization
- Advanced Biosensing Techniques and Applications
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- Immunotherapy and Immune Responses
Papers in
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- vaccines and immunoinformatics approaches 24
- Biochemical and Structural Characterization 7
- Machine Learning in Bioinformatics 6
- Immunology 13
- Immunotherapy and Immune Responses 6
- Co-authors
- Somnath Tagore (13 shared papers)K. V. Kale (10 shared papers)Sunil A. Patil (2 shared papers)Smita Shankar (1 shared paper)Shravan Kumar Mishra (1 shared paper)Prashant K. Srivastava (1 shared paper)Rajat K. De (1 shared paper)Satish Sardana (4 shared papers)
- Journals
- Current Drug Metabolism (14 papers)Reviews on Recent Clinical Trials (6 papers)World Allergy Organization Journal (3 papers)International Journal of Microbiology Research (2 papers)Protein and Peptide Letters (4 papers)
- Partner nations
- IndiaUnited KingdomSingapore
In The Last Decade
Gomase VS
65 papers receiving 288 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 279
- Immunology 59
- Biotechnology 21
- Spectroscopy 39
- Cancer Research 31
Countries citing papers authored by Gomase VS
This map shows the geographic impact of Gomase VS'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 Gomase VS with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gomase VS more than expected).
Fields of papers citing papers by Gomase VS
This network shows the impact of papers produced by Gomase VS. 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 Gomase VS. The network helps show where Gomase VS may publish in the future.
Co-authors
The 20 scholars most cited alongside Gomase VS, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 46 | |
| 2 | 2009 | 25 | |
| 3 | 2007 | 25 | |
| 4 | 2008 | 20 | |
| 5 | 2008 | 15 | |
| 6 | 2008 | 14 | |
| 7 | 2008 | 13 | |
| 8 | 2013 | 12 | |
| 9 | 2006 | 12 | |
| 10 | 2008 | 11 | |
| 11 | 2008 | 10 | |
| 12 | 2010 | 10 | |
| 13 | 2008 | 9 | |
| 14 | 2009 | 7 | |
| 15 | 2008 | 7 | |
| 16 | 2009 | 7 | |
| 17 | 2008 | 6 | |
| 18 | 2008 | 6 | |
| 19 | 2008 | 6 | |
| 20 | 2008 | 6 |
About Gomase VS
Gomase VS is a scholar working on Molecular Biology, Immunology, Ecology, Genetics and Biotechnology, having authored 80 papers that have together received 362 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (24 papers), Biochemical and Structural Characterization (7 papers), Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Machine Learning in Bioinformatics (6 papers), Transgenic Plants and Applications (6 papers), Bacteriophages and microbial interactions (6 papers) and Healthcare and Venom Research (5 papers). The work is most often cited by research in Molecular Biology (279 citations), Immunology (59 citations), Biotechnology (21 citations), Spectroscopy (39 citations) and Cancer Research (31 citations). Gomase VS has collaborated with scholars based in India, United Kingdom and Singapore. Frequent co-authors include Somnath Tagore, K. V. Kale, Sunil A. Patil, Smita Shankar, Shravan Kumar Mishra, Prashant K. Srivastava, Rajat K. De, Satish Sardana, Sandeep Choubey and Deepak P. Patil. Their work appears in journals such as Current Drug Metabolism, Reviews on Recent Clinical Trials, World Allergy Organization Journal, International Journal of Microbiology Research and Protein and Peptide Letters.
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.