Md Arshad
Impact in
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- Phytochemicals and Antioxidant Activities
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- Nigella sativa pharmacological applications
Papers in
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- Nigella sativa pharmacological applications 4
- Co-authors
- Asif Jafri (6 shared papers)Anuradha Mishra (2 shared papers)Ejaz Ahmad (2 shared papers)Saurabh Singh (1 shared paper)Aqeel Ahmad (1 shared paper)Abdul Hameed Khan (1 shared paper)Rizwan Hasan Khan (1 shared paper)Sahabjada Siddiqui (6 shared papers)
- Journals
- Journal of Traditional and Complementary Medicine (2 papers)BMC Complementary Medicine and Therapies (2 papers)Artificial Cells Nanomedicine and Biotechnology (1 paper)Biocatalysis and Agricultural Biotechnology (1 paper)Biochimie (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Md Arshad
21 papers receiving 408 citations
Peers
Comparison fields: 5 of 89
- Biochemistry 32
- Complementary and alternative medicine 42
- Pharmacology 35
- Toxicology 11
- Pharmacology 42
Countries citing papers authored by Md Arshad
This map shows the geographic impact of Md Arshad'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 Md Arshad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Arshad more than expected).
Fields of papers citing papers by Md Arshad
This network shows the impact of papers produced by Md Arshad. 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 Md Arshad. The network helps show where Md Arshad may publish in the future.
Co-authors
The 25 scholars most cited alongside Md Arshad, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2011 | 66 | |
| 3 | 2013 | 50 | |
| 4 | 2019 | 43 | |
| 5 | 2019 | 33 | |
| 6 | 2021 | 24 | |
| 7 | 2022 | 15 | |
| 8 | 2020 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2024 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2025 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Md Arshad
Md Arshad is a scholar working on Complementary and alternative medicine, Molecular Biology, Pharmacology, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 415 indexed citations. Recurring topics across this work include Nigella sativa pharmacological applications (4 papers), Phytochemicals and Antioxidant Activities (2 papers), Phytochemistry and Bioactivity Studies (2 papers), Nanoparticles: synthesis and applications (2 papers), Computational Drug Discovery Methods (2 papers), Synthesis and biological activity (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Moringa oleifera research and applications (2 papers). The work is most often cited by research in Biochemistry (32 citations), Complementary and alternative medicine (42 citations), Pharmacology (35 citations), Toxicology (11 citations) and Pharmacology (42 citations). Md Arshad has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Asif Jafri, Anuradha Mishra, Ejaz Ahmad, Saurabh Singh, Aqeel Ahmad, Abdul Hameed Khan, Rizwan Hasan Khan, Sahabjada Siddiqui, Mohd Ajmal and Mohammad Khushtar. Their work appears in journals such as Journal of Traditional and Complementary Medicine, BMC Complementary Medicine and Therapies, Artificial Cells Nanomedicine and Biotechnology, Biocatalysis and Agricultural Biotechnology and Biochimie.
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.