Sonam Gupta
Impact in
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- Temporomandibular Joint Disorders
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- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Software Engineering Research 7
- Blockchain Technology Applications and Security 4
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- Sentiment Analysis and Opinion Mining 6
- Topic Modeling 5
- Co-authors
- Joyshree Biswas (8 shared papers)Sarika Singh (5 shared papers)Poonam Goswami (4 shared papers)Chandishwar Nath (2 shared papers)Vikas Pruthi (3 shared papers)Dinesh Verma (5 shared papers)Supriya Swarnkar (2 shared papers)Neeraj Joshi (3 shared papers)
- Journals
- Cellular Signalling (2 papers)Molecular Neurobiology (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)Scientia Horticulturae (1 paper)Rhizosphere (1 paper)
- Partner nations
- IndiaUnited StatesRussia
In The Last Decade
Sonam Gupta
44 papers receiving 526 citations
Peers
Comparison fields: 5 of 128
- Complementary and Manual Therapy 37
- Neurology 86
- Cell Biology 83
- Neurology 40
- Biological Psychiatry 12
Countries citing papers authored by Sonam Gupta
This map shows the geographic impact of Sonam 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 Sonam Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonam Gupta more than expected).
Fields of papers citing papers by Sonam Gupta
This network shows the impact of papers produced by Sonam 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 Sonam Gupta. The network helps show where Sonam Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonam 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
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 56 | |
| 2 | 2012 | 46 | |
| 3 | 2018 | 45 | |
| 4 | 2015 | 40 | |
| 5 | 2018 | 38 | |
| 6 | 2015 | 37 | |
| 7 | 2015 | 34 | |
| 8 | 2017 | 34 | |
| 9 | 2022 | 20 | |
| 10 | 2018 | 18 | |
| 11 | 2017 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2019 | 14 | |
| 14 | 2024 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2023 | 6 | |
| 20 | 2014 | 6 |
About Sonam Gupta
Sonam Gupta is a scholar working on Information Systems, Artificial Intelligence, Molecular Biology, Cell Biology and Software, having authored 56 papers that have together received 545 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Topic Modeling (5 papers), Advanced Malware Detection Techniques (4 papers), Software Testing and Debugging Techniques (4 papers), Software Reliability and Analysis Research (4 papers) and Blockchain Technology Applications and Security (4 papers). The work is most often cited by research in Complementary and Manual Therapy (37 citations), Neurology (86 citations), Cell Biology (83 citations), Neurology (40 citations) and Biological Psychiatry (12 citations). Sonam Gupta has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Joyshree Biswas, Sarika Singh, Poonam Goswami, Chandishwar Nath, Vikas Pruthi, Dinesh Verma, Sarika Singh, Supriya Swarnkar, Neeraj Joshi and Abhishek Singh. Their work appears in journals such as Cellular Signalling, Molecular Neurobiology, International Journal of Machine Learning and Cybernetics, Scientia Horticulturae and Rhizosphere.
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.