Sunit Maity
Impact in
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Protein purification and stability
- Machine Learning in Bioinformatics
- Biomedical Text Mining and Ontologies
- Genetics top 10%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
Papers in
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- Protein purification and stability 3
- Viral Infectious Diseases and Gene Expression in Insects 1
- Gene expression and cancer classification 1
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Peter Carmeliet (2 shared papers)Diether Lambrechts (2 shared papers)Bart De Moor (1 shared paper)Stein Aerts (1 shared paper)Yves Moreau (1 shared paper)Peter Marynen (1 shared paper)Bert Coessens (1 shared paper)Léon-Charles Tranchevent (1 shared paper)
- Journals
- Biologicals (3 papers)Nature Biotechnology (1 paper)Blood (1 paper)Journal of Clinical Oncology (1 paper)Current Protein and Peptide Science (1 paper)
- Partner nations
- IndiaBelgiumUnited States
In The Last Decade
Sunit Maity
9 papers receiving 846 citations
Sunit Maity's Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 640
- Genetics 183
- Cancer Research 54
- Radiology, Nuclear Medicine and Imaging 65
- Computational Theory and Mathematics 42
Countries citing papers authored by Sunit Maity
This map shows the geographic impact of Sunit Maity'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 Sunit Maity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunit Maity more than expected).
Fields of papers citing papers by Sunit Maity
This network shows the impact of papers produced by Sunit Maity. 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 Sunit Maity. The network helps show where Sunit Maity may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunit Maity, 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 | Gene prioritization through genomic data fusion Hit paper breakdown → | 2006 | 700 |
| 2 | 2018 | 50 | |
| 3 | 2008 | 47 | |
| 4 | 2017 | 44 | |
| 5 | 2011 | 14 | |
| 6 | 2016 | 10 | |
| 7 | 2019 | 2 | |
| 8 | Pathology of lymph nodes in cattle. | 2000 | 1 |
| 9 | 2018 | 1 | |
| 10 | 2017 | 1 |
About Sunit Maity
Sunit Maity is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Infectious Diseases and Surgery, having authored 10 papers that have together received 870 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (3 papers), Genomics and Rare Diseases (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Gene expression and cancer classification (1 paper), Immunotherapy and Immune Responses (1 paper), Lymphatic Disorders and Treatments (1 paper) and Vascular Malformations and Hemangiomas (1 paper). The work is most often cited by research in Molecular Biology (640 citations), Genetics (183 citations), Cancer Research (54 citations), Radiology, Nuclear Medicine and Imaging (65 citations) and Computational Theory and Mathematics (42 citations). Sunit Maity has collaborated with scholars based in India, Belgium and United States. Frequent co-authors include Peter Carmeliet, Diether Lambrechts, Bart De Moor, Stein Aerts, Yves Moreau, Peter Marynen, Bert Coessens, Léon-Charles Tranchevent, Frederik De Smet and Bassem A. Hassan. Their work appears in journals such as Biologicals, Nature Biotechnology, Blood, Journal of Clinical Oncology and Current Protein and Peptide Science.
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.