Equar Taka
Impact in
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- Nigella sativa pharmacological applications
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
Papers in
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- Nigella sativa pharmacological applications 10
- Co-authors
- Karam F. A. Soliman (30 shared papers)Getinet M. Adinew (11 shared papers)Patricia Mendonca (9 shared papers)David F. Bauer (7 shared papers)Elizabeth Mazzio (10 shared papers)Samia S. Messeha (9 shared papers)Selina Darling‐Reed (9 shared papers)Samuel N. Nahashon (1 shared paper)
- Journals
- Journal of Neuroimmunology (5 papers)The FASEB Journal (5 papers)Nutrients (5 papers)International Journal of Molecular Sciences (2 papers)NeuroToxicology (2 papers)
- Partner nations
- United States
In The Last Decade
Equar Taka
35 papers receiving 715 citations
Peers
Comparison fields: 5 of 90
- Complementary and alternative medicine 203
- Toxicology 61
- Pharmacology 95
- Neurology 68
- Biological Psychiatry 20
Countries citing papers authored by Equar Taka
This map shows the geographic impact of Equar Taka'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 Equar Taka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Equar Taka more than expected).
Fields of papers citing papers by Equar Taka
This network shows the impact of papers produced by Equar Taka. 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 Equar Taka. The network helps show where Equar Taka may publish in the future.
Co-authors
The 25 scholars most cited alongside Equar Taka, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 107 | |
| 2 | 2015 | 67 | |
| 3 | 2018 | 63 | |
| 4 | 2021 | 47 | |
| 5 | 2016 | 43 | |
| 6 | 2012 | 37 | |
| 7 | 2016 | 33 | |
| 8 | 2017 | 33 | |
| 9 | 2015 | 30 | |
| 10 | 2021 | 24 | |
| 11 | 2018 | 22 | |
| 12 | 2017 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2016 | 18 | |
| 16 | 2022 | 16 | |
| 17 | Diallyl disulfide inhibits TNFα-induced CCL2 release by MDA-MB-231 cells. | 2014 | 16 |
| 18 | 2022 | 15 | |
| 19 | 2012 | 14 | |
| 20 | 2012 | 10 |
About Equar Taka
Equar Taka is a scholar working on Complementary and alternative medicine, Immunology, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 35 papers that have together received 723 indexed citations. Recurring topics across this work include Nigella sativa pharmacological applications (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Chemotherapy-induced organ toxicity mitigation (5 papers), Garlic and Onion Studies (5 papers), Alzheimer's disease research and treatments (4 papers), Bioactive Compounds and Antitumor Agents (4 papers), Tea Polyphenols and Effects (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Complementary and alternative medicine (203 citations), Toxicology (61 citations), Pharmacology (95 citations), Neurology (68 citations) and Biological Psychiatry (20 citations). Equar Taka has collaborated with scholars based in United States. Frequent co-authors include Karam F. A. Soliman, Getinet M. Adinew, Patricia Mendonca, David F. Bauer, Elizabeth Mazzio, Samia S. Messeha, Selina Darling‐Reed, Samuel N. Nahashon, Ramesh Badisa and Renee Reams. Their work appears in journals such as Journal of Neuroimmunology, The FASEB Journal, Nutrients, International Journal of Molecular Sciences and NeuroToxicology.
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.