Drashtti Vasant
Impact in
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- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
Papers in
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- Biomedical Text Mining and Ontologies 5
- Bioinformatics and Genomic Networks 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Genomics and Phylogenetic Studies 1
- Gene expression and cancer classification 1
- Genetics 3
- Genomics and Rare Diseases 3
- Co-authors
- Helen Parkinson (4 shared papers)Chris Mungall (2 shared papers)Lynn M. Schriml (2 shared papers)Warren A. Kibbe (2 shared papers)James Malone (3 shared papers)Gang Fu (1 shared paper)Elvira Mitraka (1 shared paper)Cesar Arze (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)The American Journal of Human Genetics (1 paper)Journal of Biomedical Semantics (1 paper)PLoS Computational Biology (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Drashtti Vasant
6 papers receiving 708 citations
Drashtti Vasant's Hit Papers
Peers
Comparison fields: 5 of 105
- Information Systems and Management 57
- Molecular Biology 553
- Cancer Research 95
- Genetics 168
- Health Informatics 6
Countries citing papers authored by Drashtti Vasant
This map shows the geographic impact of Drashtti Vasant'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 Drashtti Vasant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drashtti Vasant more than expected).
Fields of papers citing papers by Drashtti Vasant
This network shows the impact of papers produced by Drashtti Vasant. 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 Drashtti Vasant. The network helps show where Drashtti Vasant may publish in the future.
Co-authors
The 25 scholars most cited alongside Drashtti Vasant, 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 | Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data Hit paper breakdown → | 2014 | 430 |
| 2 | 2015 | 150 | |
| 3 | 2019 | 90 | |
| 4 | 2016 | 25 | |
| 5 | 2019 | 22 | |
| 6 | 2013 | 19 |
About Drashtti Vasant
Drashtti Vasant is a scholar working on Molecular Biology, Genetics, Information Systems, Information Systems and Management and Artificial Intelligence, having authored 6 papers that have together received 736 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Rare Diseases (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Scientific Computing and Data Management (1 paper), Genomics and Phylogenetic Studies (1 paper), Gene expression and cancer classification (1 paper) and Research Data Management Practices (1 paper). The work is most often cited by research in Information Systems and Management (57 citations), Molecular Biology (553 citations), Cancer Research (95 citations), Genetics (168 citations) and Health Informatics (6 citations). Drashtti Vasant has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Helen Parkinson, Chris Mungall, Lynn M. Schriml, Warren A. Kibbe, James Malone, Gang Fu, Elvira Mitraka, Cesar Arze, Evan Bolton and Janos X. Binder. Their work appears in journals such as Nucleic Acids Research, The American Journal of Human Genetics, Journal of Biomedical Semantics, PLoS Computational Biology and Drug Discovery Today.
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.