Neda Haseeb Khan
- Clinical Psychology top 5%
- COVID-19 and Mental Health 5
- Applied Psychology top 10%
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 1
- Health top 10%
- Vaccine Coverage and Hesitancy 2
- Social Psychology top 10%
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- COVID-19 Pandemic Impacts 4
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- Long-Term Effects of COVID-19 2
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- SARS-CoV-2 and COVID-19 Research 1
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 1
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- Diabetes and associated disorders 1
- Co-authors
- Mohammad ShahnawazKaveri GuptaKorsi Dorene KharshiingRitika UniyalUsama RehmanAmer HussainDavid L. WallaceKrishna Savani
- Journals
- American Journal of Public Health (1 paper)Burns (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- IndiaUnited KingdomSingapore
In The Last Decade
Neda Haseeb Khan
11 papers receiving 535 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Clinical Psychology 348
- Applied Psychology 67
- Modeling and Simulation 51
- Health 67
- Social Psychology 117
Countries citing papers authored by Neda Haseeb Khan
This map shows the geographic impact of Neda Haseeb Khan'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 Neda Haseeb Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neda Haseeb Khan more than expected).
Fields of papers citing papers by Neda Haseeb Khan
This network shows the impact of papers produced by Neda Haseeb Khan. 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 Neda Haseeb Khan. The network helps show where Neda Haseeb Khan may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Neda Haseeb Khan, 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 | 2025 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 44 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 48 | |
| 9 | Depression, Anxiety and Stress Among Indians in Times of Covid-19 Lockdownbreakdown → | 2020 | 381 |
| 10 | 2011 | 53 | |
| 11 | A survey of glucose-6-phosphate dehydrogenase deficiency and some of its correlates in a Maharashtra village. | 1981 | 1 |
About Neda Haseeb Khan
Neda Haseeb Khan is a scholar working on Clinical Psychology, Health and Modeling and Simulation, having authored 11 papers that have together received 554 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (5 papers), COVID-19 Pandemic Impacts (4 papers), Vaccine Coverage and Hesitancy (2 papers), Long-Term Effects of COVID-19 (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper), COVID-19 epidemiological studies (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Clinical Psychology (348 citations), Applied Psychology (67 citations) and Modeling and Simulation (51 citations). Neda Haseeb Khan has collaborated with scholars based in India, United Kingdom and Singapore. Frequent co-authors include Mohammad Shahnawaz, Kaveri Gupta, Korsi Dorene Kharshiing, Ritika Uniyal, Usama Rehman, Amer Hussain, David L. Wallace, Krishna Savani, Ansha Patel and Maryam Afzal. Their work appears in journals such as American Journal of Public Health, Burns and Human Vaccines & Immunotherapeutics.
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.