Nadia Kabir
Impact in
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- Cannabis and Cannabinoid Research
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- Antioxidant Activity and Oxidative Stress
Papers in
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- Tuberous Sclerosis Complex Research 2
- Alzheimer's disease research and treatments 1
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- Berberine and alkaloids research 1
- Co-authors
- Md. Mamun Al-Amin (3 shared papers)Hasan Mahmud Reza (2 shared papers)Zapan Barua (1 shared paper)Robyn Whitney (3 shared papers)Bláthnaid McCoy (3 shared papers)Tingting Cui (1 shared paper)Yong Yang (1 shared paper)Rohit Sharma (1 shared paper)
- Journals
- European Journal of Pharmacology (2 papers)Annals of Clinical and Translational Neurology (1 paper)Pediatric Neurology (1 paper)PLoS ONE (1 paper)Journal of Anxiety Disorders (1 paper)
- Partner nations
- BangladeshCanadaGermany
In The Last Decade
Nadia Kabir
12 papers receiving 332 citations
Peers
Comparison fields: 5 of 100
- Pharmacology 77
- Biochemistry 18
- Pharmaceutical Science 16
- Psychiatry and Mental health 34
- Management Information Systems 21
Countries citing papers authored by Nadia Kabir
This map shows the geographic impact of Nadia Kabir'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 Nadia Kabir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Kabir more than expected).
Fields of papers citing papers by Nadia Kabir
This network shows the impact of papers produced by Nadia Kabir. 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 Nadia Kabir. The network helps show where Nadia Kabir may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadia Kabir, 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 | 2018 | 73 | |
| 2 | 2016 | 63 | |
| 3 | 2018 | 55 | |
| 4 | 2018 | 43 | |
| 5 | 2017 | 35 | |
| 6 | 2019 | 25 | |
| 7 | 2021 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2022 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2016 | 3 | |
| 12 | 2017 | 2 |
About Nadia Kabir
Nadia Kabir is a scholar working on Physiology, Pharmacology, Strategy and Management, Management Information Systems and Epidemiology, having authored 12 papers that have together received 339 indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (2 papers), Quality and Supply Management (2 papers), Visual perception and processing mechanisms (1 paper), Supply Chain and Inventory Management (1 paper), Alzheimer's disease research and treatments (1 paper), Sustainable Supply Chain Management (1 paper), Berberine and alkaloids research (1 paper) and Aluminum toxicity and tolerance in plants and animals (1 paper). The work is most often cited by research in Pharmacology (77 citations), Biochemistry (18 citations), Pharmaceutical Science (16 citations), Psychiatry and Mental health (34 citations) and Management Information Systems (21 citations). Nadia Kabir has collaborated with scholars based in Bangladesh, Canada and Germany. Frequent co-authors include Md. Mamun Al-Amin, Hasan Mahmud Reza, Zapan Barua, Robyn Whitney, Bláthnaid McCoy, Tingting Cui, Yong Yang, Rohit Sharma, Duo Chen and O. Carter Snead. Their work appears in journals such as European Journal of Pharmacology, Annals of Clinical and Translational Neurology, Pediatric Neurology, PLoS ONE and Journal of Anxiety Disorders.
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.