Daya S. Gupta
- Biological Psychiatry top 10%
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 15
- Neuroscience and Music Perception 13
- Neural and Behavioral Psychology Studies 11
- EEG and Brain-Computer Interfaces 7
- Motor Control and Adaptation 5
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- Neuropeptides and Animal Physiology 5
- Developmental Neuroscience top 10%
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- Pain Mechanisms and Treatments 7
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- Tuberculosis Research and Epidemiology 5
- Co-authors
- Robert E. McCullumsmithJames H. Meador‐WoodruffS K JindalRitesh AgarwalFrancisco MagalhãesSilmar TeixeiraVictor MarinhoAlan R. Gintzler
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- United StatesIndiaBrazil
In The Last Decade
Daya S. Gupta
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 132
- Biological Psychiatry 55
- Cognitive Neuroscience 313
- Cellular and Molecular Neuroscience 292
- Developmental Neuroscience 41
- Neurology 61
Countries citing papers authored by Daya S. Gupta
This map shows the geographic impact of Daya S. 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 Daya S. Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daya S. Gupta more than expected).
Fields of papers citing papers by Daya S. Gupta
This network shows the impact of papers produced by Daya S. 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 Daya S. Gupta. The network helps show where Daya S. Gupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daya S. 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 | 2024 | 1 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 5 | |
| 9 | 2018 | 10 | |
| 10 | Screen Out Anaemia Among Adolescent Boys as Well! | 2013 | 1 |
| 11 | 2013 | 14 | |
| 12 | 2010 | 22 | |
| 13 | 2009 | 16 | |
| 14 | 2008 | 24 | |
| 15 | 2008 | 86 | |
| 16 | 2005 | 2 | |
| 17 | 2003 | 8 | |
| 18 | Radiographic patterns in lung cancer. | 2002 | 15 |
| 19 | Tuberculosis in patients receiving prolonged treatment with oral corticosteroids for respiratory disorders. | 2002 | 10 |
| 20 | 2001 | 19 |
About Daya S. Gupta
Daya S. Gupta is a scholar working on Cognitive Neuroscience, Microbiology and Neurology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Neuroscience and Music Perception (13 papers), Neural and Behavioral Psychology Studies (11 papers), Pain Mechanisms and Treatments (7 papers), EEG and Brain-Computer Interfaces (7 papers), Neuropeptides and Animal Physiology (5 papers), Motor Control and Adaptation (5 papers) and Tuberculosis Research and Epidemiology (5 papers). The work is most often cited by research in Biological Psychiatry (55 citations), Cognitive Neuroscience (313 citations) and Cellular and Molecular Neuroscience (292 citations). Daya S. Gupta has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Robert E. McCullumsmith, James H. Meador‐Woodruff, S K Jindal, Ritesh Agarwal, Francisco Magalhães, Silmar Teixeira, Victor Marinho, Alan R. Gintzler, Charles H. Hubscher and Mónica Beneyto. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.
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.