Nushrat Khan
Impact in
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- Scientific Computing and Data Management
Papers in
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- Research Data Management Practices 7
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- Scientific Computing and Data Management 7
- Co-authors
- Mike Thelwall (6 shared papers)Kayvan Kousha (5 shared papers)Shashi Prabha Dubey (1 shared paper)Deepak Jain (1 shared paper)Marco Del Riccio (1 shared paper)Amitava Banerjee (8 shared papers)Claudia Cosma (1 shared paper)Carla Maia (1 shared paper)
- Journals
- Journal of Medical Internet Research (3 papers)Online Information Review (2 papers)BMJ Open (2 papers)European Journal of Epidemiology (1 paper)Serials Review (1 paper)
- Partner nations
- United KingdomZimbabweUnited States
In The Last Decade
Nushrat Khan
28 papers receiving 221 citations
Peers
Comparison fields: 5 of 87
- Information Systems and Management 48
- Drug Discovery 1
- Information Systems 60
- Management Science and Operations Research 33
- Complementary and alternative medicine 18
Countries citing papers authored by Nushrat Khan
This map shows the geographic impact of Nushrat 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 Nushrat Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nushrat Khan more than expected).
Fields of papers citing papers by Nushrat Khan
This network shows the impact of papers produced by Nushrat 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 Nushrat Khan. The network helps show where Nushrat Khan may publish in the future.
Co-authors
The 25 scholars most cited alongside Nushrat 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
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 69 | |
| 2 | 2020 | 22 | |
| 3 | 2023 | 18 | |
| 4 | 2022 | 17 | |
| 5 | 2021 | 17 | |
| 6 | 2024 | 16 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 8 | |
| 10 | Data citation and reuse practice in biodiversity - Challenges of adopting a standard citation model | 2019 | 7 |
| 11 | 2024 | 4 | |
| 12 | 2023 | 4 | |
| 13 | Antiparasitic drugs: mechanisms of action and resistance. | 2011 | 4 |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Nushrat Khan
Nushrat Khan is a scholar working on Information Systems, Information Systems and Management, General Health Professions, Management Science and Operations Research and Pediatrics, Perinatology and Child Health, having authored 32 papers that have together received 231 indexed citations. Recurring topics across this work include Research Data Management Practices (7 papers), Scientific Computing and Data Management (7 papers), Mobile Health and mHealth Applications (5 papers), Data Quality and Management (3 papers), Digital Mental Health Interventions (2 papers), Global Maternal and Child Health (2 papers), Trypanosoma species research and implications (1 paper) and Sodium Intake and Health (1 paper). The work is most often cited by research in Information Systems and Management (48 citations), Drug Discovery (1 citation), Information Systems (60 citations), Management Science and Operations Research (33 citations) and Complementary and alternative medicine (18 citations). Nushrat Khan has collaborated with scholars based in United Kingdom, Zimbabwe and United States. Frequent co-authors include Mike Thelwall, Kayvan Kousha, Shashi Prabha Dubey, Deepak Jain, Marco Del Riccio, Amitava Banerjee, Claudia Cosma, Carla Maia, María Infantino and Msandeni Chiume. Their work appears in journals such as Journal of Medical Internet Research, Online Information Review, BMJ Open, European Journal of Epidemiology and Serials Review.
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.