Arli Aditya Parikesit
- Molecular Biology
- Computational Theory and Mathematics top 5%
- General Health Professions top 10%
- Infectious Diseases top 10%
- Plant Science
- Co-authors
- Usman Sumo Friend TambunanViol Dhea KharismaArif Nur Muhammad AnsoriYulanda AntoniusRahadian ZainulМаксим РебезовPavel BurkovAmaq Fadholly
- Topics
- Computational Drug Discovery Methods (33 papers)vaccines and immunoinformatics approaches (24 papers)Machine Learning in Bioinformatics (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC BioinformaticsBMC Genomics
- Partner nations
- IndonesiaUnited StatesIndia
In The Last Decade
Arli Aditya Parikesit
129 papers receiving 912 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 386
- Computational Theory and Mathematics 188
- General Health Professions 147
- Infectious Diseases 139
- Plant Science 126
Countries citing papers authored by Arli Aditya Parikesit
This map shows the geographic impact of Arli Aditya Parikesit'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 Arli Aditya Parikesit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arli Aditya Parikesit more than expected).
Fields of papers citing papers by Arli Aditya Parikesit
This network shows the impact of papers produced by Arli Aditya Parikesit. 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 Arli Aditya Parikesit. The network helps show where Arli Aditya Parikesit may publish in the future.
Co-authorship network of co-authors of Arli Aditya Parikesit
This figure shows the co-authorship network connecting the top 25 collaborators of Arli Aditya Parikesit. A scholar is included among the top collaborators of Arli Aditya Parikesit 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 Arli Aditya Parikesit. Arli Aditya Parikesit 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 | 69 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 48 | |
| 10 | 58 | |
| 11 | 6 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | The Role of Bioinformatics in Personalized Medicine: Your Future Medical Treatment | 3 |
| 15 | 2 | |
| 16 | STERILITY OF MALE AEDES AEGYPTI POST γ - RAY STERILIZATION | 5 |
| 17 | 10 | |
| 18 | In silico approach towards H5N1 virus protein and transcriptomics-based medication | 2 |
| 19 | Computational design of disulfide cyclic peptide as potential inhibitor of complex NS2B-NS3 dengue virus protease | 13 |
| 20 | Computational Study of Post Translation Modification in Chimeric Virus Like Particles Vaccine of Human Papilloma Virus with Virion Capsid L1 | 2 |
About Arli Aditya Parikesit
Arli Aditya Parikesit is a scholar working on Computational Theory and Mathematics, Molecular Biology and Applied Microbiology and Biotechnology, having authored 143 papers that have together received 949 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), vaccines and immunoinformatics approaches (24 papers) and Machine Learning in Bioinformatics (18 papers). The work is most often cited by research in Computational Theory and Mathematics (188 citations), Drug Discovery (2 citations) and Infectious Diseases (139 citations). Arli Aditya Parikesit has collaborated with scholars based in Indonesia, United States and India. Frequent co-authors include Usman Sumo Friend Tambunan, Viol Dhea Kharisma, Arif Nur Muhammad Ansori, Yulanda Antonius, Rahadian Zainul, Максим Ребезов, Pavel Burkov, Amaq Fadholly, Peter F. Stadler and Vikash Jakhmola. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and BMC Genomics.
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.