Fernando Alvarez‐Núñez
- Materials Chemistry top 10%
- Pharmaceutical Science top 1%
- Physical and Theoretical Chemistry top 2%
- Spectroscopy top 5%
- Organic Chemistry
- Co-authors
- Samuel H. YalkowskyDominick DaurioKarthik NagapudiCésar MedinaNaír Rodríguez‐HornedoJonathan M. MillerEric J. MunsonSirirat Pinsuwan
- Topics
- Drug Solubulity and Delivery Systems (11 papers)Crystallization and Solubility Studies (10 papers)Protein purification and stability (6 papers)
- Journals
- International Journal of PharmaceuticsJournal of Pharmaceutical SciencesMolecular Pharmaceutics
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Fernando Alvarez‐Núñez
24 papers receiving 772 citations
Peers
Comparison fields: 5 of 92
- Materials Chemistry 438
- Pharmaceutical Science 333
- Physical and Theoretical Chemistry 244
- Spectroscopy 164
- Organic Chemistry 105
Countries citing papers authored by Fernando Alvarez‐Núñez
This map shows the geographic impact of Fernando Alvarez‐Núñez'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 Fernando Alvarez‐Núñez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Alvarez‐Núñez more than expected).
Fields of papers citing papers by Fernando Alvarez‐Núñez
This network shows the impact of papers produced by Fernando Alvarez‐Núñez. 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 Fernando Alvarez‐Núñez. The network helps show where Fernando Alvarez‐Núñez may publish in the future.
Co-authorship network of co-authors of Fernando Alvarez‐Núñez
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Alvarez‐Núñez. A scholar is included among the top collaborators of Fernando Alvarez‐Núñez 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 Fernando Alvarez‐Núñez. Fernando Alvarez‐Núñez 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 20 | |
| 10 | 35 | |
| 11 | 11 | |
| 12 | 104 | |
| 13 | 42 | |
| 14 | 137 | |
| 15 | 194 | |
| 16 | 48 | |
| 17 | 6 | |
| 18 | 17 | |
| 19 | 1 | |
| 20 | 16 |
About Fernando Alvarez‐Núñez
Fernando Alvarez‐Núñez is a scholar working on Pharmaceutical Science, Filtration and Separation and Physical and Theoretical Chemistry, having authored 26 papers that have together received 812 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (11 papers), Crystallization and Solubility Studies (10 papers) and Protein purification and stability (6 papers). The work is most often cited by research in Pharmaceutical Science (333 citations), Physical and Theoretical Chemistry (244 citations) and Filtration and Separation (37 citations). Fernando Alvarez‐Núñez has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Samuel H. Yalkowsky, Dominick Daurio, Karthik Nagapudi, César Medina, Naír Rodríguez‐Hornedo, Jonathan M. Miller, Eric J. Munson, Sirirat Pinsuwan, Janan Jona and Francisco J. Álvarez. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Pharmaceutical Sciences and Molecular Pharmaceutics.
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.