Sunil Deochand
Impact in
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- Cancer Genomics and Diagnostics
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- Single-cell and spatial transcriptomics
- Genetics, Bioinformatics, and Biomedical Research
- Machine Learning in Bioinformatics
Papers in
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- Genomics and Phylogenetic Studies 1
- Gene expression and cancer classification 1
- Single-cell and spatial transcriptomics 1
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- Cancer Genomics and Diagnostics 1
- Co-authors
- Kevin Huang (1 shared paper)Nathaniel D. Omans (1 shared paper)Nicolas Robine (1 shared paper)Dan A. Landau (2 shared papers)Steven Kothen-Hill (1 shared paper)Rafael Schulman (1 shared paper)Federico Gaiti (2 shared papers)Asaf Zviran (1 shared paper)
- Journals
- Neuro-Oncology (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Sunil Deochand
1 paper receiving 8 citations
Peers
Comparison fields: 5 of 8
- Cancer Research 6
- Molecular Biology 7
- Radiology, Nuclear Medicine and Imaging 2
- Management Science and Operations Research 1
- Genetics 2
Countries citing papers authored by Sunil Deochand
This map shows the geographic impact of Sunil Deochand'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 Sunil Deochand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Deochand more than expected).
Fields of papers citing papers by Sunil Deochand
This network shows the impact of papers produced by Sunil Deochand. 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 Sunil Deochand. The network helps show where Sunil Deochand may publish in the future.
Co-authors
The 24 scholars most cited alongside Sunil Deochand, 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 | Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy | 2018 | 9 |
| 2 | 2020 | 0 |
About Sunil Deochand
Sunil Deochand is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 9 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (6 citations), Molecular Biology (7 citations), Radiology, Nuclear Medicine and Imaging (2 citations), Management Science and Operations Research (1 citation) and Genetics (2 citations). Sunil Deochand has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Kevin Huang, Nathaniel D. Omans, Nicolas Robine, Dan A. Landau, Steven Kothen-Hill, Rafael Schulman, Federico Gaiti, Asaf Zviran, Dillon Maloney and Christoph Muus. Their work appears in journals such as Neuro-Oncology and International Conference on Learning Representations.
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.