Shahul Nilar
- Public Health, Environmental and Occupational Health top 2%
- Infectious Diseases top 5%
- Molecular Biology
- Virology top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Enrico O. PurisimaPei‐Yong ShiFumiaki YokokawaHongping DongSiew Pheng LimChristian G. NoblePaul W. SmithQing-Yin Wang
- Topics
- Mosquito-borne diseases and control (9 papers)HIV Research and Treatment (5 papers)Malaria Research and Control (5 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryJournal of Applied Physics
- Partner nations
- SingaporeUnited StatesCanada
In The Last Decade
Shahul Nilar
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Public Health, Environmental and Occupational Health 700
- Infectious Diseases 479
- Molecular Biology 264
- Virology 216
- Computational Theory and Mathematics 136
Countries citing papers authored by Shahul Nilar
This map shows the geographic impact of Shahul Nilar'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 Shahul Nilar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahul Nilar more than expected).
Fields of papers citing papers by Shahul Nilar
This network shows the impact of papers produced by Shahul Nilar. 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 Shahul Nilar. The network helps show where Shahul Nilar may publish in the future.
Co-authorship network of co-authors of Shahul Nilar
This figure shows the co-authorship network connecting the top 25 collaborators of Shahul Nilar. A scholar is included among the top collaborators of Shahul Nilar 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 Shahul Nilar. Shahul Nilar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 140 | |
| 3 | 57 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 77 | |
| 7 | 16 | |
| 8 | 279 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 39 | |
| 13 | 3 | |
| 14 | 95 | |
| 15 | 1 | |
| 16 | 132 | |
| 17 | 33 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | 2 |
About Shahul Nilar
Shahul Nilar is a scholar working on Virology, Physical and Theoretical Chemistry and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (9 papers), HIV Research and Treatment (5 papers) and Malaria Research and Control (5 papers). The work is most often cited by research in Virology (216 citations), Infectious Diseases (479 citations) and Public Health, Environmental and Occupational Health (700 citations). Shahul Nilar has collaborated with scholars based in Singapore, United States and Canada. Frequent co-authors include Enrico O. Purisima, Pei‐Yong Shi, Fumiaki Yokokawa, Hongping Dong, Siew Pheng Lim, Christian G. Noble, Paul W. Smith, Qing-Yin Wang, Yen‐Liang Chen and Julien Lescar. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Applied Physics.
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.