Md. Junaid
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
-
- Nigella sativa pharmacological applications
Papers in
-
- Bioactive Compounds and Antitumor Agents 5
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- Nigella sativa pharmacological applications 4
- Co-authors
- S. M. Zahid Hosen (19 shared papers)Raju Dash (9 shared papers)Yeasmin Akter (10 shared papers)Md. Asaduzzaman Khan (5 shared papers)Ashekul Islam (2 shared papers)Sarmistha Mitra (3 shared papers)Mousumi Tania (4 shared papers)Rasel Das (1 shared paper)
- Journals
- Mini-Reviews in Medicinal Chemistry (8 papers)Current Pharmaceutical Design (2 papers)Anti-Cancer Agents in Medicinal Chemistry (1 paper)Molecules (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- BangladeshAustraliaChina
In The Last Decade
Md. Junaid
31 papers receiving 531 citations
Peers
Comparison fields: 5 of 81
- Toxicology 37
- Complementary and alternative medicine 79
- Computational Theory and Mathematics 93
- Pharmacology 43
- Pharmacology 65
Countries citing papers authored by Md. Junaid
This map shows the geographic impact of Md. Junaid'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. Junaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Junaid more than expected).
Fields of papers citing papers by Md. Junaid
This network shows the impact of papers produced by Md. Junaid. 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. Junaid. The network helps show where Md. Junaid may publish in the future.
Co-authors
The 25 scholars most cited alongside Md. Junaid, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 73 | |
| 2 | 2019 | 43 | |
| 3 | 2019 | 41 | |
| 4 | 2021 | 31 | |
| 5 | 2020 | 31 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 25 | |
| 8 | 2015 | 23 | |
| 9 | 2020 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2021 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2017 | 15 | |
| 17 | 2022 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2020 | 11 |
About Md. Junaid
Md. Junaid is a scholar working on Toxicology, Complementary and alternative medicine, Computational Theory and Mathematics, Molecular Biology and Organic Chemistry, having authored 31 papers that have together received 537 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Bioactive Compounds and Antitumor Agents (5 papers), Nigella sativa pharmacological applications (4 papers), Synthesis and biological activity (3 papers), vaccines and immunoinformatics approaches (2 papers), Phytochemistry and Biological Activities (2 papers), Phagocytosis and Immune Regulation (1 paper) and Phytoestrogen effects and research (1 paper). The work is most often cited by research in Toxicology (37 citations), Complementary and alternative medicine (79 citations), Computational Theory and Mathematics (93 citations), Pharmacology (43 citations) and Pharmacology (65 citations). Md. Junaid has collaborated with scholars based in Bangladesh, Australia and China. Frequent co-authors include S. M. Zahid Hosen, Raju Dash, Yeasmin Akter, Md. Asaduzzaman Khan, Ashekul Islam, Sarmistha Mitra, Mousumi Tania, Rasel Das, Rasheda Akter and Mohammad A. Halim. Their work appears in journals such as Mini-Reviews in Medicinal Chemistry, Current Pharmaceutical Design, Anti-Cancer Agents in Medicinal Chemistry, Molecules and Drug Discovery Today.
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.