Ronald D. Alvarez
- Molecular Biology top 1%
- Oncology top 0.5%
- Genetics top 0.2%
- Reproductive Medicine top 0.1%
- Obstetrics and Gynecology top 0.1%
- Co-authors
- David T. CurielEdward E. PartridgeMack N. BarnesGene P. SiegalWarner K. HuhAkseli HemminkiLarry C. KilgoreJ. Michael Straughn
- Topics
- Ovarian cancer diagnosis and treatment (104 papers)Virus-based gene therapy research (89 papers)Endometrial and Cervical Cancer Treatments (54 papers)
- Partner nations
- United StatesFranceFinland
In The Last Decade
Ronald D. Alvarez
332 papers receiving 12.2k citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 4.6k
- Oncology 4.3k
- Genetics 3.5k
- Reproductive Medicine 3.1k
- Obstetrics and Gynecology 2.7k
Countries citing papers authored by Ronald D. Alvarez
This map shows the geographic impact of Ronald D. Alvarez'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 Ronald D. Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald D. Alvarez more than expected).
Fields of papers citing papers by Ronald D. Alvarez
This network shows the impact of papers produced by Ronald D. Alvarez. 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 Ronald D. Alvarez. The network helps show where Ronald D. Alvarez may publish in the future.
Co-authorship network of co-authors of Ronald D. Alvarez
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald D. Alvarez. A scholar is included among the top collaborators of Ronald D. Alvarez 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 Ronald D. Alvarez. Ronald D. Alvarez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 47 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 114 | |
| 7 | 48 | |
| 8 | 91 | |
| 9 | 49 | |
| 10 | 304 | |
| 11 | 73 | |
| 12 | 3 | |
| 13 | 14 | |
| 14 | 71 | |
| 15 | The efficacy of 9-cis-retinoic acid (aliretinoin) as a chemopreventive agent for cervical dysplasia: results of a randomized double-blind clinical trial. | 38 |
| 16 | 70 | |
| 17 | A cancer gene therapy approach utilizing an anti-erbB-2 single-chain antibody-encoding adenovirus (AD21): a phase I trial. | 134 |
| 18 | 5 | |
| 19 | Novel gene therapy strategy to accomplish growth factor modulation induces enhanced tumor cell chemosensitivity. | 20 |
| 20 | 87 |
About Ronald D. Alvarez
Ronald D. Alvarez is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology, having authored 340 papers that have together received 12.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (104 papers), Virus-based gene therapy research (89 papers) and Endometrial and Cervical Cancer Treatments (54 papers). The work is most often cited by research in Reproductive Medicine (3.1k citations), Obstetrics and Gynecology (2.7k citations) and Oncology (4.3k citations). Ronald D. Alvarez has collaborated with scholars based in United States, France and Finland. Frequent co-authors include David T. Curiel, Edward E. Partridge, Mack N. Barnes, Gene P. Siegal, Warner K. Huh, Akseli Hemminki, Larry C. Kilgore, J. Michael Straughn, Hugh M. Shingleton and Minghui Wang. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and PLoS ONE.
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.