Md Sohel
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
Papers in
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- Machine Learning in Bioinformatics 2
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- Bioactive Compounds in Plants 2
- Co-authors
- Md. Arju Hossain (13 shared papers)Partha Biswas (7 shared papers)Md. Al Amin (6 shared papers)Dipta Dey (4 shared papers)Bonglee Kim (3 shared papers)Md. Nazmul Hasan (3 shared papers)Md. Ataur Rahman (3 shared papers)Habiba Sultana (4 shared papers)
- Journals
- Heliyon (4 papers)International Journal of Molecular Sciences (2 papers)Journal of Clinical Laboratory Analysis (2 papers)Cancer Medicine (2 papers)Scientific Reports (2 papers)
- Partner nations
- BangladeshSouth KoreaChina
In The Last Decade
Md Sohel
39 papers receiving 666 citations
Peers
Comparison fields: 5 of 108
- Biochemistry 84
- Molecular Medicine 43
- Toxicology 19
- Applied Microbiology and Biotechnology 9
- Complementary and alternative medicine 38
Countries citing papers authored by Md Sohel
This map shows the geographic impact of Md Sohel'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 Sohel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Sohel more than expected).
Fields of papers citing papers by Md Sohel
This network shows the impact of papers produced by Md Sohel. 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 Sohel. The network helps show where Md Sohel may publish in the future.
Co-authors
The 25 scholars most cited alongside Md Sohel, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 137 | |
| 2 | 2022 | 74 | |
| 3 | 2023 | 61 | |
| 4 | 2022 | 57 | |
| 5 | 2023 | 43 | |
| 6 | 2015 | 38 | |
| 7 | 2021 | 28 | |
| 8 | 2023 | 21 | |
| 9 | 2022 | 21 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2023 | 7 |
About Md Sohel
Md Sohel is a scholar working on Molecular Biology, Plant Science, Biochemistry, Pathology and Forensic Medicine and Computational Theory and Mathematics, having authored 42 papers that have together received 679 indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (6 papers), Computational Drug Discovery Methods (4 papers), Phytoestrogen effects and research (4 papers), Medicinal Plants and Neuroprotection (3 papers), Vibrio bacteria research studies (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Machine Learning in Bioinformatics (2 papers) and Bioactive Compounds in Plants (2 papers). The work is most often cited by research in Biochemistry (84 citations), Molecular Medicine (43 citations), Toxicology (19 citations), Applied Microbiology and Biotechnology (9 citations) and Complementary and alternative medicine (38 citations). Md Sohel has collaborated with scholars based in Bangladesh, South Korea and China. Frequent co-authors include Md. Arju Hossain, Partha Biswas, Md. Al Amin, Dipta Dey, Bonglee Kim, Md. Nazmul Hasan, Md. Ataur Rahman, Habiba Sultana, Mohammad Nurul Amin and Abdullah Al Mamun. Their work appears in journals such as Heliyon, International Journal of Molecular Sciences, Journal of Clinical Laboratory Analysis, Cancer Medicine and Scientific Reports.
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.