Shaherin Basith
Impact in
- Microbiology top 1%
- Antimicrobial Peptides and Activities
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- RNA modifications and cancer
Papers in
-
- Machine Learning in Bioinformatics 21
- RNA and protein synthesis mechanisms 10
- Genomics and Phylogenetic Studies 8
- vaccines and immunoinformatics approaches 8
- Receptor Mechanisms and Signaling 4
- Immunology 11
- Immune Response and Inflammation 10
- Co-authors
- Balachandran Manavalan (40 shared papers)Gwang Lee (40 shared papers)Tae Hwan Shin (24 shared papers)Sangdun Choi (11 shared papers)Sun Choi (10 shared papers)Leyi Wei (5 shared papers)Minghua Cui (7 shared papers)Md Mehedi Hasan (4 shared papers)
- Journals
- Computers in Biology and Medicine (6 papers)PLoS ONE (5 papers)Briefings in Bioinformatics (5 papers)Cells (3 papers)Nanomaterials (3 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Shaherin Basith
57 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 142
- Microbiology 391
- Molecular Biology 2.3k
- Immunology 544
- Computational Theory and Mathematics 361
- Sensory Systems 97
Countries citing papers authored by Shaherin Basith
This map shows the geographic impact of Shaherin Basith'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 Shaherin Basith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaherin Basith more than expected).
Fields of papers citing papers by Shaherin Basith
This network shows the impact of papers produced by Shaherin Basith. 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 Shaherin Basith. The network helps show where Shaherin Basith may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaherin Basith, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 245 | |
| 2 | 2018 | 228 | |
| 3 | 2017 | 227 | |
| 4 | 2019 | 196 | |
| 5 | 2020 | 174 | |
| 6 | 2012 | 167 | |
| 7 | 2016 | 155 | |
| 8 | 2019 | 133 | |
| 9 | 2020 | 129 | |
| 10 | 2013 | 121 | |
| 11 | 2022 | 112 | |
| 12 | 2020 | 106 | |
| 13 | 2018 | 104 | |
| 14 | 2018 | 100 | |
| 15 | 2017 | 92 | |
| 16 | 2019 | 88 | |
| 17 | 2011 | 85 | |
| 18 | 2019 | 84 | |
| 19 | 2021 | 74 | |
| 20 | 2018 | 70 |
About Shaherin Basith
Shaherin Basith is a scholar working on Molecular Biology, Immunology, Computational Theory and Mathematics, Microbiology and Physiology, having authored 59 papers that have together received 3.7k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (21 papers), Immune Response and Inflammation (10 papers), Computational Drug Discovery Methods (10 papers), RNA and protein synthesis mechanisms (10 papers), Genomics and Phylogenetic Studies (8 papers), vaccines and immunoinformatics approaches (8 papers), Antimicrobial Peptides and Activities (7 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Microbiology (391 citations), Molecular Biology (2.3k citations), Immunology (544 citations), Computational Theory and Mathematics (361 citations) and Sensory Systems (97 citations). Shaherin Basith has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Balachandran Manavalan, Gwang Lee, Tae Hwan Shin, Sangdun Choi, Sun Choi, Leyi Wei, Minghua Cui, Md Mehedi Hasan, Da Yeon Lee and Sang Geon Kim. Their work appears in journals such as Computers in Biology and Medicine, PLoS ONE, Briefings in Bioinformatics, Cells and Nanomaterials.
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.