Abdul Ashik Khan
- Organic Chemistry
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Materials Chemistry
- Infectious Diseases
- Co-authors
- Narendra Nath GhoshNabajyoti BaildyaTanmoy DuttaAsoke P. ChattopadhyayMohabul A. MondalSwapan K. ChowdhurySwapan Kumar ChowdhuryKinkar Biswas
- Topics
- Computational Drug Discovery Methods (8 papers)Synthesis and biological activity (6 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
- Journals
- Physics Letters ASpectrochimica Acta Part A Molecular and Biomolecular SpectroscopyComputers in Biology and Medicine
- Partner nations
- India
In The Last Decade
Abdul Ashik Khan
20 papers receiving 338 citations
Peers
Comparison fields: 5 of 68
- Organic Chemistry 127
- Computational Theory and Mathematics 106
- Molecular Biology 80
- Materials Chemistry 57
- Infectious Diseases 49
Countries citing papers authored by Abdul Ashik Khan
This map shows the geographic impact of Abdul Ashik Khan'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 Abdul Ashik Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdul Ashik Khan more than expected).
Fields of papers citing papers by Abdul Ashik Khan
This network shows the impact of papers produced by Abdul Ashik Khan. 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 Abdul Ashik Khan. The network helps show where Abdul Ashik Khan may publish in the future.
Co-authorship network of co-authors of Abdul Ashik Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Abdul Ashik Khan. A scholar is included among the top collaborators of Abdul Ashik Khan 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 Abdul Ashik Khan. Abdul Ashik Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 41 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 31 | |
| 10 | 6 | |
| 11 | 34 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 21 | |
| 15 | 104 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 1 |
About Abdul Ashik Khan
Abdul Ashik Khan is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Infectious Diseases, having authored 20 papers that have together received 342 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (106 citations), Filtration and Separation (13 citations) and Organic Chemistry (127 citations). Abdul Ashik Khan has collaborated with scholars based in India. Frequent co-authors include Narendra Nath Ghosh, Nabajyoti Baildya, Tanmoy Dutta, Asoke P. Chattopadhyay, Mohabul A. Mondal, Swapan K. Chowdhury, Swapan Kumar Chowdhury, Kinkar Biswas, Atanu Maity and Rajesh Kumar Das. Their work appears in journals such as Physics Letters A, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Computers in Biology and Medicine.
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.