Md. Junaid
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
-
- Nigella sativa pharmacological applications
Papers in
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- vaccines and immunoinformatics approaches 2
- Ubiquitin and proteasome pathways 1
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- Computational Drug Discovery Methods 6
- Co-authors
- S. M. Zahid Hosen (19 shared papers)Raju Dash (9 shared papers)Yeasmin Akter (9 shared papers)Md. Asaduzzaman Khan (4 shared papers)Sarmistha Mitra (3 shared papers)Ashekul Islam (2 shared papers)Mousumi Tania (3 shared papers)Rasel Das (1 shared paper)
- Journals
- Mini-Reviews in Medicinal Chemistry (8 papers)Current Pharmaceutical Design (2 papers)Journal of Biomolecular Structure and Dynamics (1 paper)PLoS ONE (1 paper)Current Pharmaceutical Biotechnology (1 paper)
- Partner nations
- BangladeshAustraliaChina
In The Last Decade
Md. Junaid
30 papers receiving 497 citations
Peers
Comparison fields: 5 of 77
- Toxicology 36
- Complementary and alternative medicine 78
- Computational Theory and Mathematics 89
- Pharmacology 42
- Pharmacology 62
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 66 | |
| 2 | 2019 | 43 | |
| 3 | 2019 | 38 | |
| 4 | 2020 | 30 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 26 | |
| 7 | 2020 | 24 | |
| 8 | 2015 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2020 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2015 | 10 |
About Md. Junaid
Md. Junaid is a scholar working on Molecular Biology, Computational Theory and Mathematics, Toxicology, Complementary and alternative medicine and Organic Chemistry, having authored 30 papers that have together received 501 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), Phytochemistry and Biological Activities (2 papers), vaccines and immunoinformatics approaches (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Toxicology (36 citations), Complementary and alternative medicine (78 citations), Computational Theory and Mathematics (89 citations), Pharmacology (42 citations) and Pharmacology (62 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, Sarmistha Mitra, Ashekul Islam, Mousumi Tania, Rasel Das, Nazrul Islam and Md. Arifuzzaman. Their work appears in journals such as Mini-Reviews in Medicinal Chemistry, Current Pharmaceutical Design, Journal of Biomolecular Structure and Dynamics, PLoS ONE and Current Pharmaceutical Biotechnology.
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.