Dan Niculescu‐Duvaz
- Molecular Biology top 2%
- Oncology top 2%
- Pathology and Forensic Medicine top 2%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 5%
- Co-authors
- Caroline J. SpringerRichard MaraisChristopher J. MarshallDavid BarfordMathew J. GarnettChris M. JonesValerie M. GoodPaul Wan
- Topics
- Melanoma and MAPK Pathways (18 papers)Virus-based gene therapy research (7 papers)Click Chemistry and Applications (6 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Dan Niculescu‐Duvaz
34 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 3.3k
- Oncology 1.6k
- Pathology and Forensic Medicine 636
- Computational Theory and Mathematics 611
- Organic Chemistry 593
Countries citing papers authored by Dan Niculescu‐Duvaz
This map shows the geographic impact of Dan Niculescu‐Duvaz'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 Dan Niculescu‐Duvaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Niculescu‐Duvaz more than expected).
Fields of papers citing papers by Dan Niculescu‐Duvaz
This network shows the impact of papers produced by Dan Niculescu‐Duvaz. 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 Dan Niculescu‐Duvaz. The network helps show where Dan Niculescu‐Duvaz may publish in the future.
Co-authorship network of co-authors of Dan Niculescu‐Duvaz
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Niculescu‐Duvaz. A scholar is included among the top collaborators of Dan Niculescu‐Duvaz 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 Dan Niculescu‐Duvaz. Dan Niculescu‐Duvaz 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 | 30 | |
| 3 | 73 | |
| 4 | 36 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 272 | |
| 8 | 47 | |
| 9 | 28 | |
| 10 | 18 | |
| 11 | 31 | |
| 12 | 118 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 360 | |
| 16 | Mechanism of Activation of the RAF-ERK Signaling Pathway by Oncogenic Mutations of B-RAFbreakdown → | 2174 |
| 17 | 127 | |
| 18 | 19 | |
| 19 | 32 | |
| 20 | Prodrugs for antibody- and gene-directed enzyme prodrug therapies (ADEPT and GDEPT). | 29 |
About Dan Niculescu‐Duvaz
Dan Niculescu‐Duvaz is a scholar working on Molecular Biology, Organic Chemistry and Immunology and Allergy, having authored 35 papers that have together received 4.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (18 papers), Virus-based gene therapy research (7 papers) and Click Chemistry and Applications (6 papers). The work is most often cited by research in Oncology (1.6k citations), Molecular Biology (3.3k citations) and Computational Theory and Mathematics (611 citations). Dan Niculescu‐Duvaz has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Caroline J. Springer, Richard Marais, Christopher J. Marshall, David Barford, Mathew J. Garnett, Chris M. Jones, Valerie M. Good, Paul Wan, S. Mark Roe and James Heyes. Their work appears in journals such as Cell, Nature Communications and Journal of Clinical Oncology.
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.