Nida Jamil Khan
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- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 2
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- Algal biology and biofuel production 3
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- Epigenetics and DNA Methylation 2
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- Computational Drug Discovery Methods 3
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- Enzyme-mediated dye degradation 2
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- Cancer-related molecular mechanisms research 2
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- Alzheimer's disease research and treatments 2
- Co-authors
- Qayyum HusainYogesh KumarRazi AhmadArmiya SultanAditya GoelMairaj Ahmed AnsariWajihul Hasan KhanSaad Tayyab
- Journals
- Environmental Science and Pollution Research (3 papers)International Journal of Biological Macromolecules (2 papers)Functional & Integrative Genomics (1 paper)
- Partner nations
- IndiaSaudi ArabiaSpain
In The Last Decade
Nida Jamil Khan
22 papers receiving 266 citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 86
- Health 22
- Modeling and Simulation 8
- Renewable Energy, Sustainability and the Environment 25
- Molecular Biology 99
Countries citing papers authored by Nida Jamil Khan
This map shows the geographic impact of Nida Jamil 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 Nida Jamil Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nida Jamil Khan more than expected).
Fields of papers citing papers by Nida Jamil Khan
This network shows the impact of papers produced by Nida Jamil 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 Nida Jamil Khan. The network helps show where Nida Jamil Khan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nida Jamil 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 59 | |
| 14 | 2021 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2018 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2008 | 9 | |
| 19 | 2008 | 15 | |
| 20 | 2003 | 27 |
About Nida Jamil Khan
Nida Jamil Khan is a scholar working on Biological Psychiatry, Conservation and Obstetrics and Gynecology, having authored 25 papers that have together received 269 indexed citations. Recurring topics across this work include Algal biology and biofuel production (3 papers), Computational Drug Discovery Methods (3 papers), Enzyme-mediated dye degradation (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Cancer-related molecular mechanisms research (2 papers), Alzheimer's disease research and treatments (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Infectious Diseases (86 citations), Health (22 citations) and Modeling and Simulation (8 citations). Nida Jamil Khan has collaborated with scholars based in India, Saudi Arabia and Spain. Frequent co-authors include Qayyum Husain, Yogesh Kumar, Razi Ahmad, Armiya Sultan, Aditya Goel, Mairaj Ahmed Ansari, Wajihul Hasan Khan, Saad Tayyab, Iqbal Alam and Faheem Ahmed. Their work appears in journals such as Environmental Science and Pollution Research, International Journal of Biological Macromolecules, Functional & Integrative Genomics, Chronobiology International and Biomedicines.
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.