Nikil Wale
Impact in
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- Computational Drug Discovery Methods
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- Complex Network Analysis Techniques
Papers in
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- Computational Drug Discovery Methods 6
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- Bioinformatics and Genomic Networks 2
- Chemical Synthesis and Analysis 1
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- George Karypis (5 shared papers)Ian A. Watson (2 shared papers)Kevin J. McConnell (1 shared paper)Eric Gifford (1 shared paper)David Wild (1 shared paper)Bin Chen (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Bioinformatics (1 paper)Drug Development Research (1 paper)PubMed (1 paper)University of Minnesota Digital Conservancy (University of Minnesota) (1 paper)
- Partner nations
- United States
In The Last Decade
Nikil Wale
7 papers receiving 264 citations
Peers
Comparison fields: 5 of 59
- Computational Theory and Mathematics 129
- Statistical and Nonlinear Physics 45
- Artificial Intelligence 113
- Computer Vision and Pattern Recognition 61
- Molecular Biology 109
Countries citing papers authored by Nikil Wale
This map shows the geographic impact of Nikil Wale'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 Nikil Wale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikil Wale more than expected).
Fields of papers citing papers by Nikil Wale
This network shows the impact of papers produced by Nikil Wale. 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 Nikil Wale. The network helps show where Nikil Wale may publish in the future.
Co-authors
The 6 scholars most cited alongside Nikil Wale, 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 | 2006 | 159 | |
| 2 | 2009 | 55 | |
| 3 | 2010 | 19 | |
| 4 | 2008 | 18 | |
| 5 | 2011 | 12 | |
| 6 | 2007 | 4 | |
| 7 | Target Identification for Chemical Compounds using Target-Ligand Activity data and Ranking based Methods | 2008 | 1 |
About Nikil Wale
Nikil Wale is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Pharmacology and Pharmacology, having authored 7 papers that have together received 268 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (2 papers), Bioinformatics and Genomic Networks (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Machine Learning in Materials Science (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Chemical Synthesis and Analysis (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (129 citations), Statistical and Nonlinear Physics (45 citations), Artificial Intelligence (113 citations), Computer Vision and Pattern Recognition (61 citations) and Molecular Biology (109 citations). Nikil Wale has collaborated with scholars based in United States. Frequent co-authors include George Karypis, Ian A. Watson, Kevin J. McConnell, Eric Gifford, David Wild and Bin Chen. Their work appears in journals such as Journal of Chemical Information and Modeling, Bioinformatics, Drug Development Research, PubMed and University of Minnesota Digital Conservancy (University of Minnesota).
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.