David Bermudes
- Biotechnology top 0.05%
- Biomedical Engineering top 1%
- Genetics top 1%
- Molecular Biology top 5%
- Ecology top 2%
- Co-authors
- John M. PawelekK. Brooks LowKe LiuClaudia GravekampShibin ZhouIvan KingLynn MargulisLi-Mou Zheng
- Topics
- Cancer Research and Treatments (31 papers)Virus-based gene therapy research (14 papers)Nanoplatforms for cancer theranostics (12 papers)
- Cited by
- BiotechnologyParasitologyGenetics
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
David Bermudes
71 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Biotechnology 2.6k
- Biomedical Engineering 2.1k
- Genetics 1.4k
- Molecular Biology 1.3k
- Ecology 671
Countries citing papers authored by David Bermudes
This map shows the geographic impact of David Bermudes'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 David Bermudes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bermudes more than expected).
Fields of papers citing papers by David Bermudes
This network shows the impact of papers produced by David Bermudes. 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 David Bermudes. The network helps show where David Bermudes may publish in the future.
Co-authorship network of co-authors of David Bermudes
This figure shows the co-authorship network connecting the top 25 collaborators of David Bermudes. A scholar is included among the top collaborators of David Bermudes 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 David Bermudes. David Bermudes 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 | 1 | |
| 3 | Tumour-targeting bacteria engineered to fight cancerbreakdown → | 608 |
| 4 | 118 | |
| 5 | 98 | |
| 6 | 21 | |
| 7 | Development of highly efficacious hydrophobic paclitaxel prodrugs delivered in nanoparticles for fixed-ratio drug combination applications | 3 |
| 8 | 288 | |
| 9 | 5 | |
| 10 | 50 | |
| 11 | 58 | |
| 12 | 283 | |
| 13 | 115 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 158 | |
| 17 | 21 | |
| 18 | 19 | |
| 19 | Intercontinental compatibility in Panellus stypticus with a note on bioluminescence | 25 |
| 20 | 21 |
About David Bermudes
David Bermudes is a scholar working on Biotechnology, Parasitology and Endocrinology, having authored 72 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer Research and Treatments (31 papers), Virus-based gene therapy research (14 papers) and Nanoplatforms for cancer theranostics (12 papers). The work is most often cited by research in Biotechnology (2.6k citations), Parasitology (358 citations) and Genetics (1.4k citations). David Bermudes has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include John M. Pawelek, K. Brooks Low, Ke Liu, Claudia Gravekamp, Shibin Zhou, Ivan King, Lynn Margulis, Li-Mou Zheng, Keith A. Joiner and Martina Ittensohn. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature reviews. Cancer.
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.