Mohammad Matiur Rahman
- Molecular Biology
- Aquatic Science top 5%
- Biotechnology top 5%
- Aging top 5%
- Cell Biology
- Co-authors
- Akira InoueTakao OjimaHiroyuki TanakaOrna Cohen‐FixEdward T. KipreosLance WellsZakir HossainLing Wang
- Topics
- Fish Biology and Ecology Studies (9 papers)Genetics, Aging, and Longevity in Model Organisms (7 papers)Seaweed-derived Bioactive Compounds (7 papers)
- Cited by
- AgingAquatic ScienceBiotechnology
- Partner nations
- BangladeshUnited StatesJapan
In The Last Decade
Mohammad Matiur Rahman
37 papers receiving 446 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 240
- Aquatic Science 134
- Biotechnology 112
- Aging 82
- Cell Biology 54
Countries citing papers authored by Mohammad Matiur Rahman
This map shows the geographic impact of Mohammad Matiur 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 Mohammad Matiur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Matiur Rahman more than expected).
Fields of papers citing papers by Mohammad Matiur Rahman
This network shows the impact of papers produced by Mohammad Matiur 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 Mohammad Matiur Rahman. The network helps show where Mohammad Matiur Rahman may publish in the future.
Co-authorship network of co-authors of Mohammad Matiur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Matiur Rahman. A scholar is included among the top collaborators of Mohammad Matiur Rahman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Matiur Rahman. Mohammad Matiur Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | Effects of climate change on fisheries biodiversity of the Meghna, Laukhati and Galachipa River in Bangladesh | 10 |
| 11 | 21 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 28 | |
| 15 | 9 | |
| 16 | 21 | |
| 17 | 9 | |
| 18 | 27 | |
| 19 | 26 | |
| 20 | 16 |
About Mohammad Matiur Rahman
Mohammad Matiur Rahman is a scholar working on Aging, Aquatic Science and Structural Biology, having authored 42 papers that have together received 448 indexed citations. Recurring topics across this work include Fish Biology and Ecology Studies (9 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Seaweed-derived Bioactive Compounds (7 papers). The work is most often cited by research in Aging (82 citations), Aquatic Science (134 citations) and Biotechnology (112 citations). Mohammad Matiur Rahman has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include Akira Inoue, Takao Ojima, Hiroyuki Tanaka, Orna Cohen‐Fix, Edward T. Kipreos, Lance Wells, Zakir Hossain, Ling Wang, Daphna Joseph-Strauss and Thomas Müller‐Reichert. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Current Biology.
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.