Shaherin Basith

4.6k total citations
57 papers, 3.6k citations indexed

About

Shaherin Basith is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Shaherin Basith has authored 57 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 11 papers in Immunology. Recurrent topics in Shaherin Basith's work include Machine Learning in Bioinformatics (22 papers), Computational Drug Discovery Methods (11 papers) and Immune Response and Inflammation (10 papers). Shaherin Basith is often cited by papers focused on Machine Learning in Bioinformatics (22 papers), Computational Drug Discovery Methods (11 papers) and Immune Response and Inflammation (10 papers). Shaherin Basith collaborates with scholars based in South Korea, United States and China. Shaherin Basith's co-authors include Balachandran Manavalan, Gwang Lee, Tae Hwan Shin, Sangdun Choi, Sun Choi, Leyi Wei, Minghua Cui, Md Mehedi Hasan, Sang Geon Kim and Da Yeon Lee and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Shaherin Basith

56 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shaherin Basith South Korea 33 2.4k 566 417 380 275 57 3.6k
Tae Hwan Shin South Korea 29 2.5k 1.0× 139 0.2× 480 1.2× 280 0.7× 191 0.7× 58 3.3k
Tzong-Yi Lee Taiwan 40 3.7k 1.6× 367 0.6× 513 1.2× 213 0.6× 377 1.4× 119 4.9k
Hyun Lee United States 32 1.7k 0.7× 514 0.9× 67 0.2× 395 1.0× 182 0.7× 133 3.8k
Rong He United States 39 2.9k 1.2× 832 1.5× 128 0.3× 84 0.2× 388 1.4× 218 4.7k
Tian Liu China 36 3.0k 1.3× 539 1.0× 86 0.2× 72 0.2× 583 2.1× 191 4.3k
Sebastian Wiese Germany 27 3.1k 1.3× 292 0.5× 97 0.2× 89 0.2× 415 1.5× 81 4.4k
Kun Wang China 32 1.1k 0.5× 1.4k 2.5× 532 1.3× 304 0.8× 70 0.3× 135 3.1k
Yunping Zhu China 28 2.5k 1.1× 402 0.7× 56 0.1× 113 0.3× 464 1.7× 112 4.1k
Boris Hayete United States 9 2.6k 1.1× 144 0.3× 222 0.5× 112 0.3× 54 0.2× 16 4.1k
Janice Mayne Canada 30 1.7k 0.7× 282 0.5× 43 0.1× 209 0.6× 349 1.3× 94 3.7k

Countries citing papers authored by Shaherin Basith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shaherin Basith

This figure shows the co-authorship network connecting the top 25 collaborators of Shaherin Basith. A scholar is included among the top collaborators of Shaherin Basith 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 Shaherin Basith. Shaherin Basith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Basith, Shaherin, et al.. (2024). mHPpred: Accurate identification of peptide hormones using multi-view feature learning. Computers in Biology and Medicine. 183. 109297–109297. 2 indexed citations
2.
Basith, Shaherin, Balachandran Manavalan, & Gwang Lee. (2023). Unveiling local and global conformational changes and allosteric communications in SOD1 systems using molecular dynamics simulation and network analyses. Computers in Biology and Medicine. 168. 107688–107688. 3 indexed citations
3.
Basith, Shaherin, et al.. (2023). ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information. Computers in Biology and Medicine. 165. 107386–107386. 22 indexed citations
4.
Basith, Shaherin, Balachandran Manavalan, & Gwang Lee. (2022). Amyotrophic lateral sclerosis disease-related mutations disrupt the dimerization of superoxide dismutase 1 - A comparative molecular dynamics simulation study. Computers in Biology and Medicine. 151(Pt B). 106319–106319. 7 indexed citations
5.
Shoombuatong, Watshara, et al.. (2022). THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites. Journal of Molecular Biology. 434(11). 167549–167549. 49 indexed citations
6.
Basith, Shaherin, Md Mehedi Hasan, Gwang Lee, Leyi Wei, & Balachandran Manavalan. (2021). Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Briefings in Bioinformatics. 22(6). 52 indexed citations
7.
Shin, Tae Hwan, Da Yeon Lee, Balachandran Manavalan, et al.. (2021). Silica-coated magnetic nanoparticles activate microglia and induce neurotoxic d-serine secretion. Particle and Fibre Toxicology. 18(1). 30–30. 27 indexed citations
8.
Manavalan, Balachandran, Md Mehedi Hasan, Shaherin Basith, et al.. (2020). Empirical Comparison and Analysis of Web-Based DNA N4-Methylcytosine Site Prediction Tools. Molecular Therapy — Nucleic Acids. 22. 406–420. 40 indexed citations
9.
Manavalan, Balachandran, Shaherin Basith, Tae Hwan Shin, et al.. (2019). 4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-Methylcytosine Sites in the Mouse Genome. Cells. 8(11). 1332–1332. 83 indexed citations
10.
Basith, Shaherin, Balachandran Manavalan, Tae Hwan Shin, & Gwang Lee. (2019). SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome. Molecular Therapy — Nucleic Acids. 18. 131–141. 133 indexed citations
11.
Manavalan, Balachandran, Shaherin Basith, Tae Hwan Shin, Leyi Wei, & Gwang Lee. (2019). Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation. Molecular Therapy — Nucleic Acids. 16. 733–744. 193 indexed citations
12.
Manavalan, Balachandran, Shaherin Basith, Tae Hwan Shin, Leyi Wei, & Gwang Lee. (2018). mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation. Bioinformatics. 35(16). 2757–2765. 221 indexed citations
13.
Cui, Minghua, Vijayakumar Gosu, Shaherin Basith, Sunhye Hong, & Sun Choi. (2016). Polymodal Transient Receptor Potential Vanilloid Type 1 Nocisensor. Advances in protein chemistry and structural biology. 104. 81–125. 38 indexed citations
14.
Basith, Shaherin, Balachandran Manavalan, Vijayakumar Gosu, & Sangdun Choi. (2013). Evolutionary, Structural and Functional Interplay of the IκB Family Members. PLoS ONE. 8(1). e54178–e54178. 23 indexed citations
15.
Gosu, Vijayakumar, Shaherin Basith, Prasannavenkatesh Durai, & Sangdun Choi. (2012). Molecular Evolution and Structural Features of IRAK Family Members. PLoS ONE. 7(11). e49771–e49771. 44 indexed citations
16.
Govindaraj, Rajiv Gandhi, Balachandran Manavalan, Shaherin Basith, & Sangdun Choi. (2011). Comparative Analysis of Species-Specific Ligand Recognition in Toll-Like Receptor 8 Signaling: A Hypothesis. PLoS ONE. 6(9). e25118–e25118. 44 indexed citations
17.
Basith, Shaherin, Balachandran Manavalan, Rajiv Gandhi Govindaraj, & Sangdun Choi. (2011). In Silico Approach to Inhibition of Signaling Pathways of Toll-Like Receptors 2 and 4 by ST2L. PLoS ONE. 6(8). e23989–e23989. 50 indexed citations
18.
Manavalan, Balachandran, Shaherin Basith, & Sangdun Choi. (2011). Similar Structures but Different Roles – An Updated Perspective on TLR Structures. Frontiers in Physiology. 2. 41–41. 66 indexed citations
19.
Basith, Shaherin, Balachandran Manavalan, Gwang Lee, Sang Geon Kim, & Sangdun Choi. (2011). Toll-like receptor modulators: a patent review (2006 – 2010). Expert Opinion on Therapeutic Patents. 21(6). 927–944. 84 indexed citations
20.
Manavalan, Balachandran, Shaherin Basith, Yong-Min Choi, Gwang Lee, & Sangdun Choi. (2010). Structure-Function Relationship of Cytoplasmic and Nuclear IκB Proteins: An In Silico Analysis. PLoS ONE. 5(12). e15782–e15782. 40 indexed citations

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.

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