Neville Davidson
- Oncology top 0.5%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cancer Research top 2%
- Co-authors
- Paul BharMichael HawkinsHeather ShawWilliam J. GradisharJoyce O’ShaughnessySergei TjulandinNeil DesaiCharles E. Geyer
- Topics
- HER2/EGFR in Cancer Research (8 papers)Cancer Treatment and Pharmacology (6 papers)CAR-T cell therapy research (5 papers)
- Cited by
- OncologyCancer ResearchBiomaterials
- Journals
- New England Journal of MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Neville Davidson
25 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Oncology 3.7k
- Molecular Biology 1.3k
- Pulmonary and Respiratory Medicine 1.2k
- Radiology, Nuclear Medicine and Imaging 883
- Cancer Research 793
Countries citing papers authored by Neville Davidson
This map shows the geographic impact of Neville Davidson'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 Neville Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neville Davidson more than expected).
Fields of papers citing papers by Neville Davidson
This network shows the impact of papers produced by Neville Davidson. 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 Neville Davidson. The network helps show where Neville Davidson may publish in the future.
Co-authorship network of co-authors of Neville Davidson
This figure shows the co-authorship network connecting the top 25 collaborators of Neville Davidson. A scholar is included among the top collaborators of Neville Davidson 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 Neville Davidson. Neville Davidson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 75 | |
| 3 | 11 | |
| 4 | 24 | |
| 5 | 2 | |
| 6 | 23 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 142 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 174 | |
| 13 | Lapatinib plus Capecitabine for HER2-Positive Advanced Breast Cancerbreakdown → | 2498 |
| 14 | 24 | |
| 15 | Phase III Trial of Nanoparticle Albumin-Bound Paclitaxel Compared With Polyethylated Castor Oil–Based Paclitaxel in Women With Breast Cancerbreakdown → | 1571 |
| 16 | 8 | |
| 17 | 249 | |
| 18 | 25 | |
| 19 | 3 | |
| 20 | 8 |
About Neville Davidson
Neville Davidson is a scholar working on Oncology, Reproductive Medicine and Cancer Research, having authored 25 papers that have together received 5.0k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (8 papers), Cancer Treatment and Pharmacology (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Oncology (3.7k citations), Cancer Research (793 citations) and Biomaterials (596 citations). Neville Davidson has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Paul Bhar, Michael Hawkins, Heather Shaw, William J. Gradishar, Joyce O’Shaughnessy, Sergei Tjulandin, Neil Desai, Charles E. Geyer, David Cameron and Agnieszka Jagiełło-Gruszfeld. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.