Edwina Naik
- Molecular Biology top 5%
- Immunology top 5%
- Oncology top 5%
- Epidemiology top 10%
- Cancer Research top 10%
- Co-authors
- Vishva M. DixitJerry M. AdamsSimon N. WillisDavid C.S. HuangGrant DewsonJamie I. FletcherChen LinAndrew H. Wei
- Topics
- Cell death mechanisms and regulation (5 papers)Immune Cell Function and Interaction (5 papers)Phagocytosis and Immune Regulation (3 papers)
- Cited by
- ImmunologyMolecular BiologyOncology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineGenes & Development
- Partner nations
- AustraliaRussiaUnited States
In The Last Decade
Edwina Naik
15 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.4k
- Immunology 798
- Oncology 545
- Epidemiology 272
- Cancer Research 210
Countries citing papers authored by Edwina Naik
This map shows the geographic impact of Edwina Naik'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 Edwina Naik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwina Naik more than expected).
Fields of papers citing papers by Edwina Naik
This network shows the impact of papers produced by Edwina Naik. 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 Edwina Naik. The network helps show where Edwina Naik may publish in the future.
Co-authorship network of co-authors of Edwina Naik
This figure shows the co-authorship network connecting the top 25 collaborators of Edwina Naik. A scholar is included among the top collaborators of Edwina Naik 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 Edwina Naik. Edwina Naik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 35 | |
| 3 | 197 | |
| 4 | 19 | |
| 5 | 52 | |
| 6 | Mitochondrial reactive oxygen species drive proinflammatory cytokine productionbreakdown → | 636 |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 216 | |
| 11 | 92 | |
| 12 | Involvement of Bcl-2 family proteins in Gleevec's mechanism of action | 1 |
| 13 | 1 | |
| 14 | Proapoptotic Bak is sequestered by Mcl-1 and Bcl-x L , but not Bcl-2, until displaced by BH3-only proteinsbreakdown → | 1024 |
| 15 | 88 |
About Edwina Naik
Edwina Naik is a scholar working on Immunology, Oncology and Nephrology, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Immune Cell Function and Interaction (5 papers) and Phagocytosis and Immune Regulation (3 papers). The work is most often cited by research in Immunology (798 citations), Molecular Biology (1.4k citations) and Oncology (545 citations). Edwina Naik has collaborated with scholars based in Australia, Russia and United States. Frequent co-authors include Vishva M. Dixit, Jerry M. Adams, Simon N. Willis, David C.S. Huang, Grant Dewson, Jamie I. Fletcher, Chen Lin, Andrew H. Wei, Andreas Strasser and Ewa M. Michalak. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Genes & Development.
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.