Equar Taka

35 papers receiving 778 citations

Peers

Equar Taka
Comparison fields: 5 of 91
  • Complementary and alternative medicine 210
  • Toxicology 62
  • Pharmacology 95
  • Biological Psychiatry 20
  • Neurology 65
Replace Muhamad Noor Alfarizal Kamarudin with:
Muhamad Noor Alfarizal Kamarudin Malaysia
Kausik Bishayee South Korea
Nou‐Ying Tang Taiwan
Jichun Han China
Jung Ok Ban South Korea
Chun Whan Choi South Korea
Samia S. Messeha United States
Fuling Luo China
H Abdel-Aziz Germany
Rajapaksha Gedara Prasad Tharanga Jayasooriya South Korea
Equar Taka relative to Muhamad Noor Alfarizal Kamarudin Malaysia Muhamad Noor Alfarizal Kamarudin's profile →
Citations per field
00.5×2.7×
Muhamad Noor Alfarizal Kamarudin · 1×
Citations per year

Countries citing papers authored by Equar Taka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Equar Taka Line = papers co-authored together Equar Taka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022118
2 201572
3 201871
4 202148
5 201644
6 201239
7 201634
8 201734
9 201531
10 202126
11 202324
12 201823
13 202221
14 201721
15
Diallyl disulfide inhibits TNFα-induced CCL2 release by MDA-MB-231 cells.
201419
16 201618
17 202217
18 202216
19 201215
20 202514

About Equar Taka

Equar Taka is a scholar working on Complementary and alternative medicine, Pathology and Forensic Medicine, Neurology, Immunology and Plant Science, having authored 35 papers that have together received 788 indexed citations. Recurring topics across this work include Nigella sativa pharmacological applications (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Garlic and Onion Studies (5 papers), Chemotherapy-induced organ toxicity mitigation (5 papers), Alzheimer's disease research and treatments (4 papers), Bioactive Compounds and Antitumor Agents (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Chemokine receptors and signaling (3 papers). The work is most often cited by research in Complementary and alternative medicine (210 citations), Toxicology (62 citations), Pharmacology (95 citations), Biological Psychiatry (20 citations) and Neurology (65 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 The FASEB Journal, Journal of Neuroimmunology, Nutrients, NeuroToxicology and International Journal of Molecular Sciences.

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.

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