Md. Tanvir Rahman
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 38
- Endocrinology top 0.5%
- Escherichia coli research studies 23
- Food Science top 1%
- Salmonella and Campylobacter epidemiology 39
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts 15
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- Antimicrobial Resistance in Staphylococcus 19
- Viral gastroenteritis research and epidemiology 15
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- Bacterial biofilms and quorum sensing 16
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- Microbial infections and disease research 16
- Co-authors
- Md. Abdus SoburMd. Saiful IslamSamina IevyHossam M. AshourMd. Jannat HossainMohamed E. El ZowalatyK. H. M. Nazmul Hussain NazirJayedul Hassan
- Journals
- SHILAP Revista de lepidopterología (11 papers)PLoS ONE (8 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- BangladeshUnited StatesJapan
In The Last Decade
Md. Tanvir Rahman
186 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Medicine 749
- Endocrinology 546
- Applied Microbiology and Biotechnology 151
- Food Science 896
- Pollution 496
Countries citing papers authored by Md. Tanvir Rahman
This map shows the geographic impact of Md. Tanvir Rahman'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. Tanvir Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Tanvir Rahman more than expected).
Fields of papers citing papers by Md. Tanvir Rahman
This network shows the impact of papers produced by Md. Tanvir Rahman. 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. Tanvir Rahman. The network helps show where Md. Tanvir Rahman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Md. Tanvir Rahman, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 29 | |
| 15 | 2022 | 18 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 54 | |
| 19 | 2020 | 2 | |
| 20 | 2020 | 56 |
About Md. Tanvir Rahman
Md. Tanvir Rahman is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 209 papers that have together received 3.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (39 papers), Antibiotic Resistance in Bacteria (38 papers), Escherichia coli research studies (23 papers), Antimicrobial Resistance in Staphylococcus (19 papers), Bacterial biofilms and quorum sensing (16 papers), Microbial infections and disease research (16 papers), Viral gastroenteritis research and epidemiology (15 papers) and Pharmaceutical and Antibiotic Environmental Impacts (15 papers). The work is most often cited by research in Molecular Medicine (749 citations), Endocrinology (546 citations) and Applied Microbiology and Biotechnology (151 citations). Md. Tanvir Rahman has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include Md. Abdus Sobur, Md. Saiful Islam, Samina Ievy, Hossam M. Ashour, Md. Jannat Hossain, Mohamed E. El Zowalaty, K. H. M. Nazmul Hussain Nazir, Jayedul Hassan, Md. Bahanur Rahman and Md. Taohidul Islam. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.
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.