Neeraj Kumar Fuloria
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Cancer Research top 5%
- Plant Science top 10%
- Food Science top 5%
- Co-authors
- Shivkanya FuloriaVetriselvan SubramaniyanMahendran SekarYuan Seng WuKathiresan V. SathasivamDhanalekshmi Unnikrishnan MeenakshiNur Najihah Izzati Mat RaniPei Teng Lum
- Topics
- Synthesis and biological activity (16 papers)Computational Drug Discovery Methods (13 papers)Essential Oils and Antimicrobial Activity (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsFrontiers in Immunology
- Partner nations
- MalaysiaIndiaSaudi Arabia
In The Last Decade
Neeraj Kumar Fuloria
153 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 993
- Biomedical Engineering 373
- Cancer Research 370
- Plant Science 300
- Food Science 284
Countries citing papers authored by Neeraj Kumar Fuloria
This map shows the geographic impact of Neeraj Kumar Fuloria'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 Neeraj Kumar Fuloria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeraj Kumar Fuloria more than expected).
Fields of papers citing papers by Neeraj Kumar Fuloria
This network shows the impact of papers produced by Neeraj Kumar Fuloria. 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 Neeraj Kumar Fuloria. The network helps show where Neeraj Kumar Fuloria may publish in the future.
Co-authorship network of co-authors of Neeraj Kumar Fuloria
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Kumar Fuloria. A scholar is included among the top collaborators of Neeraj Kumar Fuloria 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 Neeraj Kumar Fuloria. Neeraj Kumar Fuloria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 27 | |
| 4 | 51 | |
| 5 | 68 | |
| 6 | 15 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 30 | |
| 10 | 4 | |
| 11 | 22 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 29 | |
| 16 | 13 | |
| 17 | 15 | |
| 18 | 50 | |
| 19 | Short review on Quality by design: A new Era of Pharmaceutical drugdevelopment | 13 |
| 20 | Galangoisoflavonoid Isolated from Rhizomes of Alpinia Galanga | 1 |
About Neeraj Kumar Fuloria
Neeraj Kumar Fuloria is a scholar working on Drug Discovery, Toxicology and Complementary and alternative medicine, having authored 161 papers that have together received 3.2k indexed citations. Recurring topics across this work include Synthesis and biological activity (16 papers), Computational Drug Discovery Methods (13 papers) and Essential Oils and Antimicrobial Activity (10 papers). The work is most often cited by research in Molecular Medicine (216 citations), Biochemistry (232 citations) and Drug Discovery (6 citations). Neeraj Kumar Fuloria has collaborated with scholars based in Malaysia, India and Saudi Arabia. Frequent co-authors include Shivkanya Fuloria, Vetriselvan Subramaniyan, Mahendran Sekar, Yuan Seng Wu, Kathiresan V. Sathasivam, Dhanalekshmi Unnikrishnan Meenakshi, Nur Najihah Izzati Mat Rani, Pei Teng Lum, Siew Hua Gan and M. Yasmin Begum. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.
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.