Jaseela Majeed
- Organic Chemistry top 10%
- Molecular Biology
- Oncology
- Infectious Diseases
- Computational Theory and Mathematics
- Co-authors
- Mohammad Shahar YarMd. Afroz BakhtPrabodh Chander SharmaRamesh K. GoyalPuneeta AjmeraVijay Kumar ThakurBhoomika M. PatelNisha Nair
- Topics
- Synthesis and biological activity (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)COVID-19 Clinical Research Studies (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science and Pollution ResearchEuropean Journal of Medicinal Chemistry
- Partner nations
- IndiaUnited StatesSweden
In The Last Decade
Jaseela Majeed
26 papers receiving 490 citations
Peers
Comparison fields: 5 of 95
- Organic Chemistry 246
- Molecular Biology 111
- Oncology 60
- Infectious Diseases 59
- Computational Theory and Mathematics 33
Countries citing papers authored by Jaseela Majeed
This map shows the geographic impact of Jaseela Majeed'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 Jaseela Majeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaseela Majeed more than expected).
Fields of papers citing papers by Jaseela Majeed
This network shows the impact of papers produced by Jaseela Majeed. 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 Jaseela Majeed. The network helps show where Jaseela Majeed may publish in the future.
Co-authorship network of co-authors of Jaseela Majeed
This figure shows the co-authorship network connecting the top 25 collaborators of Jaseela Majeed. A scholar is included among the top collaborators of Jaseela Majeed 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 Jaseela Majeed. Jaseela Majeed 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 55 | |
| 12 | 29 | |
| 13 | 47 | |
| 14 | 2 | |
| 15 | 17 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 22 | |
| 19 | 146 | |
| 20 | 10 |
About Jaseela Majeed
Jaseela Majeed is a scholar working on Infectious Diseases, Complementary and alternative medicine and Computational Theory and Mathematics, having authored 30 papers that have together received 510 indexed citations. Recurring topics across this work include Synthesis and biological activity (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Organic Chemistry (246 citations), Toxicology (22 citations) and Complementary and alternative medicine (27 citations). Jaseela Majeed has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Mohammad Shahar Yar, Md. Afroz Bakht, Prabodh Chander Sharma, Ramesh K. Goyal, Puneeta Ajmera, Vijay Kumar Thakur, Bhoomika M. Patel, Nisha Nair, Mahaveer Dhobi and Kalicharan Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and European Journal of Medicinal Chemistry.
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.