N. A. Uvais
Impact in
- Clinical Psychology top 10%
- COVID-19 and Mental Health
Papers in
-
- COVID-19 and Mental Health 22
- Body Image and Dysmorphia Studies 5
-
- Schizophrenia research and treatment 7
- Epilepsy research and treatment 4
- Co-authors
- Vanteemar S. Sreeraj (13 shared papers)Sudhir Kumar (1 shared paper)Mohammad Zia Ul Haq Katshu (3 shared papers)Samir Kumar Praharaj (1 shared paper)Basudeb Das (2 shared papers)Sayantanava Mitra (2 shared papers)Mohammad Jafferany (3 shared papers)Indu Dubey (1 shared paper)
- Journals
- The Primary Care Companion For CNS Disorders (30 papers)Dermatologic Therapy (2 papers)Asian Journal of Psychiatry (2 papers)Kidney International Reports (1 paper)Brain Behavior & Immunity - Health (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
N. A. Uvais
76 papers receiving 351 citations
Peers
Comparison fields: 5 of 92
- Clinical Psychology 116
- Biological Psychiatry 10
- Psychiatry and Mental health 45
- Neurology 45
- Health 23
Countries citing papers authored by N. A. Uvais
This map shows the geographic impact of N. A. Uvais'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 N. A. Uvais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. A. Uvais more than expected).
Fields of papers citing papers by N. A. Uvais
This network shows the impact of papers produced by N. A. Uvais. 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 N. A. Uvais. The network helps show where N. A. Uvais may publish in the future.
Co-authors
The 14 scholars most cited alongside N. A. Uvais, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 36 | |
| 2 | 2021 | 33 | |
| 3 | 2020 | 23 | |
| 4 | 2017 | 22 | |
| 5 | 2012 | 17 | |
| 6 | 2013 | 16 | |
| 7 | 2016 | 14 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2021 | 5 |
About N. A. Uvais
N. A. Uvais is a scholar working on Clinical Psychology, Psychiatry and Mental health, Neurology, Social Psychology and Epidemiology, having authored 103 papers that have together received 368 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (22 papers), Long-Term Effects of COVID-19 (12 papers), Mental Health Treatment and Access (9 papers), Schizophrenia research and treatment (7 papers), Dialysis and Renal Disease Management (5 papers), Body Image and Dysmorphia Studies (5 papers), COVID-19 Pandemic Impacts (5 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Clinical Psychology (116 citations), Biological Psychiatry (10 citations), Psychiatry and Mental health (45 citations), Neurology (45 citations) and Health (23 citations). N. A. Uvais has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Vanteemar S. Sreeraj, Sudhir Kumar, Mohammad Zia Ul Haq Katshu, Samir Kumar Praharaj, Basudeb Das, Sayantanava Mitra, Mohammad Jafferany, Indu Dubey, Shahul Hameed and P Manoj. Their work appears in journals such as The Primary Care Companion For CNS Disorders, Dermatologic Therapy, Asian Journal of Psychiatry, Kidney International Reports and Brain Behavior & Immunity - Health.
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.