Manzar Alam
- Biochemistry top 5%
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- Nigella sativa pharmacological applications 4
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- Cancer Mechanisms and Therapy 5
- Tea Polyphenols and Effects 5
- Toxicology top 5%
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- Cell death mechanisms and regulation 5
- PI3K/AKT/mTOR signaling in cancer 4
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- Cancer-related Molecular Pathways 5
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- NF-κB Signaling Pathways 5
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- Computational Drug Discovery Methods 4
- Co-authors
- Md. Imtaiyaz HassanSabeeha AliDharmendra Kumar YadavMohd AdnanRajakishore MishraGulam Mustafa HasanAbdelbaset Mohamed ElasbaliGhulam Md Ashraf
- Journals
- International Journal of Biological Macromolecules (3 papers)Biomedicine & Pharmacotherapy (3 papers)Journal of Cellular Biochemistry (2 papers)
- Partner nations
- IndiaSaudi ArabiaUnited Arab Emirates
In The Last Decade
Manzar Alam
38 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Biochemistry 151
- Applied Microbiology and Biotechnology 50
- Complementary and alternative medicine 142
- Pathology and Forensic Medicine 287
- Toxicology 54
Countries citing papers authored by Manzar Alam
This map shows the geographic impact of Manzar Alam'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 Manzar Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manzar Alam more than expected).
Fields of papers citing papers by Manzar Alam
This network shows the impact of papers produced by Manzar Alam. 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 Manzar Alam. The network helps show where Manzar Alam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manzar Alam, 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 | 2024 | 14 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 35 | |
| 7 | 2023 | 68 | |
| 8 | 2022 | 29 | |
| 9 | 2022 | 25 | |
| 10 | Epigallocatechin 3-gallate: From green tea to cancer therapeuticsbreakdown → | 2022 | 171 |
| 11 | 2022 | 70 | |
| 12 | 2021 | 37 | |
| 13 | 2021 | 60 | |
| 14 | 2018 | 42 | |
| 15 | 2017 | 39 | |
| 16 | 2011 | 18 | |
| 17 | 2011 | 22 | |
| 18 | 2011 | 50 | |
| 19 | 2011 | 11 | |
| 20 | 2010 | 31 |
About Manzar Alam
Manzar Alam is a scholar working on Applied Microbiology and Biotechnology, Pathology and Forensic Medicine and Toxicology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Cancer-related Molecular Pathways (5 papers), Cancer Mechanisms and Therapy (5 papers), Tea Polyphenols and Effects (5 papers), NF-κB Signaling Pathways (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Computational Drug Discovery Methods (4 papers) and Nigella sativa pharmacological applications (4 papers). The work is most often cited by research in Biochemistry (151 citations), Applied Microbiology and Biotechnology (50 citations) and Complementary and alternative medicine (142 citations). Manzar Alam has collaborated with scholars based in India, Saudi Arabia and United Arab Emirates. Frequent co-authors include Md. Imtaiyaz Hassan, Sabeeha Ali, Dharmendra Kumar Yadav, Mohd Adnan, Rajakishore Mishra, Gulam Mustafa Hasan, Abdelbaset Mohamed Elasbali, Ghulam Md Ashraf, Visweswara Rao Pasupuleti and Sarfraz Ahmed. Their work appears in journals such as International Journal of Biological Macromolecules, Biomedicine & Pharmacotherapy, Journal of Cellular Biochemistry, International Journal of Molecular Sciences and Tumor Biology.
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.