Md Salah Uddin
Impact in
-
- Computational Drug Discovery Methods
-
- Polymer Nanocomposites and Properties
- Polymer crystallization and properties
- Polymer composites and self-healing
Papers in
-
- Computational Drug Discovery Methods 5
-
- Essential Oils and Antimicrobial Activity 3
- Co-authors
- Jaehyung Ju (5 shared papers)Shahriar Zaman (7 shared papers)Md. Abu Saleh (7 shared papers)Suvro Biswas (6 shared papers)Shafi Mahmud (6 shared papers)Gobindo Kumar Paul (6 shared papers)Talha Bin Emran (4 shared papers)Shamima Afrose (4 shared papers)
- Journals
- Research in Transportation Business & Management (1 paper)Journal of Polymer Research (1 paper)Molecules (1 paper)Polymer (1 paper)Digital Health (1 paper)
- Partner nations
- BangladeshUnited StatesChina
In The Last Decade
Md Salah Uddin
25 papers receiving 373 citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 80
- Polymers and Plastics 53
- Molecular Medicine 18
- Complementary and alternative medicine 29
- Toxicology 12
Countries citing papers authored by Md Salah Uddin
This map shows the geographic impact of Md Salah Uddin'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 Salah Uddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Salah Uddin more than expected).
Fields of papers citing papers by Md Salah Uddin
This network shows the impact of papers produced by Md Salah Uddin. 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 Salah Uddin. The network helps show where Md Salah Uddin may publish in the future.
Co-authors
The 25 scholars most cited alongside Md Salah Uddin, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2021 | 67 | |
| 3 | 2021 | 53 | |
| 4 | 2016 | 38 | |
| 5 | 2021 | 26 | |
| 6 | 2016 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2022 | 13 | |
| 9 | PCR for mecA gene of methicillin resistant Staphylococcus aureus. | 2009 | 8 |
| 10 | 2024 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2015 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2022 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About Md Salah Uddin
Md Salah Uddin is a scholar working on Computational Theory and Mathematics, Food Science, Molecular Medicine, Polymers and Plastics and Organizational Behavior and Human Resource Management, having authored 28 papers that have together received 381 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Customer Service Quality and Loyalty (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Polymer crystallization and properties (3 papers), International Labor and Employment Law (2 papers), Islamic Finance and Banking Studies (2 papers), Hydrogels: synthesis, properties, applications (2 papers) and Rheology and Fluid Dynamics Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (80 citations), Polymers and Plastics (53 citations), Molecular Medicine (18 citations), Complementary and alternative medicine (29 citations) and Toxicology (12 citations). Md Salah Uddin has collaborated with scholars based in Bangladesh, United States and China. Frequent co-authors include Jaehyung Ju, Shahriar Zaman, Md. Abu Saleh, Suvro Biswas, Shafi Mahmud, Gobindo Kumar Paul, Talha Bin Emran, Shamima Afrose, Md. Robiul Hasan and Jesús Simal‐Gándara. Their work appears in journals such as Research in Transportation Business & Management, Journal of Polymer Research, Molecules, Polymer and Digital Health.
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.