Simone Gupta
Impact in
- Biological Psychiatry top 10%
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
Papers in
-
- Biomedical Text Mining and Ontologies 2
- Gene expression and cancer classification 1
- Genetics 6
- Genetics and Neurodevelopmental Disorders 3
- Genetic Associations and Epidemiology 2
- Co-authors
- Dan E. Arking (5 shared papers)Andrew B. West (5 shared papers)Shannon Ellis (3 shared papers)Anna Moes (2 shared papers)Joel S. Bader (2 shared papers)Foram N. Ashar (2 shared papers)Jianan Zhan (1 shared paper)Samir K. Brahmachari (5 shared papers)
- Journals
- Pharmacogenomics (4 papers)PLoS ONE (3 papers)BMC Genomics (2 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesIndiaNorway
In The Last Decade
Simone Gupta
19 papers receiving 919 citations
Peers
Comparison fields: 5 of 106
- Biological Psychiatry 38
- Cognitive Neuroscience 254
- Genetics 297
- Developmental Neuroscience 33
- Neurology 61
Countries citing papers authored by Simone Gupta
This map shows the geographic impact of Simone Gupta'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 Simone Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Gupta more than expected).
Fields of papers citing papers by Simone Gupta
This network shows the impact of papers produced by Simone Gupta. 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 Simone Gupta. The network helps show where Simone Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Gupta, 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 | 2014 | 385 | |
| 2 | 2015 | 71 | |
| 3 | 2006 | 69 | |
| 4 | 2018 | 49 | |
| 5 | 2018 | 46 | |
| 6 | 2005 | 46 | |
| 7 | 2009 | 45 | |
| 8 | 2017 | 34 | |
| 9 | 2005 | 33 | |
| 10 | 2012 | 32 | |
| 11 | 2013 | 31 | |
| 12 | 2005 | 30 | |
| 13 | 2011 | 27 | |
| 14 | 2013 | 18 | |
| 15 | 2005 | 10 | |
| 16 | 2013 | 2 | |
| 17 | 2018 | 2 | |
| 18 | Using Similarity Metrics on Real World Data and Patient Treatment Pathways to Recommend the Next Treatment. | 2019 | 2 |
| 19 | 2018 | 1 |
About Simone Gupta
Simone Gupta is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Artificial Intelligence and Surgery, having authored 19 papers that have together received 933 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Machine Learning in Healthcare (2 papers), Biomedical Text Mining and Ontologies (2 papers), Genetic Associations and Epidemiology (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), AI in cancer detection (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Biological Psychiatry (38 citations), Cognitive Neuroscience (254 citations), Genetics (297 citations), Developmental Neuroscience (33 citations) and Neurology (61 citations). Simone Gupta has collaborated with scholars based in United States, India and Norway. Frequent co-authors include Dan E. Arking, Andrew B. West, Shannon Ellis, Anna Moes, Joel S. Bader, Foram N. Ashar, Jianan Zhan, Samir K. Brahmachari, Sanjeev Jain and Ritushree Kukreti. Their work appears in journals such as Pharmacogenomics, PLoS ONE, BMC Genomics, Nature Communications and Clinical Cancer Research.
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.