Juan C. Alvarez
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- Computational Drug Discovery Methods 6
- Organic Chemistry top 5%
- Click Chemistry and Applications 1
- Virology top 10%
- HIV Research and Treatment 2
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- Chemical Synthesis and Analysis 4
- Protein Structure and Dynamics 4
- Pharmaceutical Science top 10%
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- Thermal and Kinetic Analysis 2
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- HIV/AIDS drug development and treatment 2
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- Innovative Microfluidic and Catalytic Techniques Innovation 1
- Co-authors
- Spencer D. DreherRichard D. TillyerKevin R. CamposMatthew D. TruppoR. M. GarbaccioN.K. TerrettEmma R. ParmeePaul J. Coleman
- Journals
- Proteins Structure Function and Bioinformatics (3 papers)Bioorganic & Medicinal Chemistry (1 paper)Science (1 paper)
- Partner nations
- United StatesCubaCanada
In The Last Decade
Juan C. Alvarez
14 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computational Theory and Mathematics 317
- Organic Chemistry 395
- Virology 61
- Molecular Biology 477
- Pharmaceutical Science 40
Countries citing papers authored by Juan C. Alvarez
This map shows the geographic impact of Juan C. 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 Juan C. Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan C. Alvarez more than expected).
Fields of papers citing papers by Juan C. Alvarez
This network shows the impact of papers produced by Juan C. 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 Juan C. Alvarez. The network helps show where Juan C. Alvarez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan C. Alvarez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 11 | |
| 2 | 2020 | 43 | |
| 3 | 2020 | 100 | |
| 4 | The importance of synthetic chemistry in the pharmaceutical industrybreakdown → | 2019 | 454 |
| 5 | 2013 | 4 | |
| 6 | 2006 | 19 | |
| 7 | 2004 | 98 | |
| 8 | 2003 | 33 | |
| 9 | 2003 | 58 | |
| 10 | 2000 | 2 | |
| 11 | 1998 | 31 | |
| 12 | 1997 | 8 | |
| 13 | 1992 | 26 | |
| 14 | 1990 | 184 |
About Juan C. Alvarez
Juan C. Alvarez is a scholar working on Virology, Computational Theory and Mathematics and Molecular Biology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Chemical Synthesis and Analysis (4 papers), Protein Structure and Dynamics (4 papers), HIV Research and Treatment (2 papers), Thermal and Kinetic Analysis (2 papers), HIV/AIDS drug development and treatment (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (317 citations), Organic Chemistry (395 citations) and Virology (61 citations). Juan C. Alvarez has collaborated with scholars based in United States, Cuba and Canada. Frequent co-authors include Spencer D. Dreher, Richard D. Tillyer, Kevin R. Campos, Matthew D. Truppo, R. M. Garbaccio, N.K. Terrett, Emma R. Parmee, Paul J. Coleman, Diane Joseph‐McCarthy and Charles S. Craik. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioorganic & Medicinal Chemistry, Science, Solid State Ionics and Journal of Medicinal Chemistry.
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.