Vanathi Gopalakrishnan
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Health Informatics top 10%
Papers in
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- Machine Learning in Bioinformatics 16
- Gene expression and cancer classification 13
- Protein Structure and Dynamics 7
- Biomedical Text Mining and Ontologies 7
- Bioinformatics and Genomic Networks 5
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- Machine Learning and Data Classification 6
- Co-authors
- Jonathan L. Lustgarten (9 shared papers)Shyam Visweswaran (13 shared papers)Robert Bowser (4 shared papers)David Lacomis (2 shared papers)Merit Cudkowicz (2 shared papers)Himanshu Grover (6 shared papers)Gregory F. Cooper (4 shared papers)William L. Bigbee (5 shared papers)
- Journals
- BMC Bioinformatics (4 papers)Bioinformatics (2 papers)Journal of Thoracic Oncology (2 papers)Journal of Computational Biology (2 papers)Journal of Biomedical Informatics (2 papers)
- Partner nations
- United StatesNetherlandsMexico
In The Last Decade
Vanathi Gopalakrishnan
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 146
- Neurology 171
- Health Informatics 11
- Molecular Biology 451
- Artificial Intelligence 224
- Health Information Management 24
Countries citing papers authored by Vanathi Gopalakrishnan
This map shows the geographic impact of Vanathi Gopalakrishnan'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 Vanathi Gopalakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanathi Gopalakrishnan more than expected).
Fields of papers citing papers by Vanathi Gopalakrishnan
This network shows the impact of papers produced by Vanathi Gopalakrishnan. 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 Vanathi Gopalakrishnan. The network helps show where Vanathi Gopalakrishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Vanathi Gopalakrishnan, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 181 | |
| 2 | 2010 | 96 | |
| 3 | Improving classification performance with discretization on biomedical datasets. | 2008 | 71 |
| 4 | 2011 | 70 | |
| 5 | 2012 | 68 | |
| 6 | Measuring stability of feature selection in biomedical datasets. | 2009 | 57 |
| 7 | 2017 | 55 | |
| 8 | 2011 | 43 | |
| 9 | 2014 | 35 | |
| 10 | 2010 | 34 | |
| 11 | 2011 | 31 | |
| 12 | 2018 | 29 | |
| 13 | 2015 | 29 | |
| 14 | 2004 | 26 | |
| 15 | 2004 | 26 | |
| 16 | 2011 | 22 | |
| 17 | 2006 | 22 | |
| 18 | 2005 | 20 | |
| 19 | 2014 | 19 | |
| 20 | Induction of rules for biological macromolecule crystallization. | 1994 | 19 |
About Vanathi Gopalakrishnan
Vanathi Gopalakrishnan is a scholar working on Molecular Biology, Artificial Intelligence, Spectroscopy, Cardiology and Cardiovascular Medicine and Information Systems, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (16 papers), Gene expression and cancer classification (13 papers), Protein Structure and Dynamics (7 papers), Biomedical Text Mining and Ontologies (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Machine Learning and Data Classification (6 papers), Bioinformatics and Genomic Networks (5 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Neurology (171 citations), Health Informatics (11 citations), Molecular Biology (451 citations), Artificial Intelligence (224 citations) and Health Information Management (24 citations). Vanathi Gopalakrishnan has collaborated with scholars based in United States, Netherlands and Mexico. Frequent co-authors include Jonathan L. Lustgarten, Shyam Visweswaran, Robert Bowser, David Lacomis, Merit Cudkowicz, Himanshu Grover, Gregory F. Cooper, William L. Bigbee, Yan Liu and Srikanth Ranganathan. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Journal of Thoracic Oncology, Journal of Computational Biology and Journal of Biomedical Informatics.
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.