Md Nur Alam
- Plant Science top 5%
- Biomaterials top 2%
- Biochemistry top 1%
- Food Science top 2%
- Organic Chemistry top 5%
- Co-authors
- Md RafiquzzamanTheo G. M. van de VenHan YangFazlul HuqÁlvaro TejadoSami BourouisMohammad Monirujjaman KhanTahia Tazin
- Topics
- Advanced Cellulose Research Studies (15 papers)Electrospun Nanofibers in Biomedical Applications (6 papers)Lignin and Wood Chemistry (5 papers)
- Cited by
- BiochemistryBiomaterialsFood Science
- Partner nations
- CanadaBangladeshSlovakia
In The Last Decade
Md Nur Alam
33 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Plant Science 598
- Biomaterials 559
- Biochemistry 478
- Food Science 414
- Organic Chemistry 330
Countries citing papers authored by Md Nur Alam
This map shows the geographic impact of Md Nur Alam'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 Nur Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Nur Alam more than expected).
Fields of papers citing papers by Md Nur Alam
This network shows the impact of papers produced by Md Nur Alam. 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 Nur Alam. The network helps show where Md Nur Alam may publish in the future.
Co-authorship network of co-authors of Md Nur Alam
This figure shows the co-authorship network connecting the top 25 collaborators of Md Nur Alam. A scholar is included among the top collaborators of Md Nur Alam 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 Md Nur Alam. Md Nur Alam 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 116 | |
| 9 | 23 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | Wandering biliary ascariasis with hepatic abscess in a postmenopausal woman. | 1 |
| 13 | 32 | |
| 14 | Efficacy of amitriptyline, pizotifen and propranolol in the prevention of migraine. | 7 |
| 15 | IN VITRO ANTIOXIDANT POTENTIAL OF THE METHANOLIC EXTRACT OF Bacopa monnieri L | 13 |
| 16 | Review on in vivo and in vitro methods evaluation of antioxidant activitybreakdown → | 1329 |
| 17 | Postoperative pain relief following inguinal hernia repair in children by wound infiltration with levobupivacaine. | 4 |
| 18 | Vegetarian diet in the treatment of fibromyalgia. | 31 |
| 19 | 23 | |
| 20 | 1 |
About Md Nur Alam
Md Nur Alam is a scholar working on Biomaterials, Molecular Medicine and Computer Graphics and Computer-Aided Design, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Cellulose Research Studies (15 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Lignin and Wood Chemistry (5 papers). The work is most often cited by research in Biochemistry (478 citations), Biomaterials (559 citations) and Food Science (414 citations). Md Nur Alam has collaborated with scholars based in Canada, Bangladesh and Slovakia. Frequent co-authors include Md Rafiquzzaman, Theo G. M. van de Ven, Han Yang, Fazlul Huq, Álvaro Tejado, Sami Bourouis, Mohammad Monirujjaman Khan, Tahia Tazin, Nathalie Tufenkji and Zeinab Hosseinidoust. Their work appears in journals such as Physical review. B, Condensed matter, Coordination Chemistry Reviews and Nanoscale.
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.