Steven Alvarez
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
- Cell Biology top 10%
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 5
- Receptor Mechanisms and Signaling 4
- Protein Tyrosine Phosphatases 2
- Lipid Membrane Structure and Behavior 2
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- Cellular transport and secretion 3
- Co-authors
- Jay T. Groves (11 shared papers)Young Kwang Lee (5 shared papers)Jean K. Chung (5 shared papers)Yasushi Kondo (4 shared papers)John Kuriyan (4 shared papers)Hiu Yue Monatrice Lam (3 shared papers)William Y. C. Huang (4 shared papers)Kabir H. Biswas (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Advanced Materials (3 papers)Biophysical Journal (2 papers)Organic Letters (1 paper)Science (1 paper)
- Partner nations
- United StatesSingaporeSaudi Arabia
In The Last Decade
Steven Alvarez
17 papers receiving 752 citations
Peers
Comparison fields: 5 of 82
- Polymers and Plastics 132
- Cell Biology 128
- Molecular Biology 456
- Biophysics 27
- Structural Biology 6
Countries citing papers authored by Steven Alvarez
This map shows the geographic impact of Steven 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 Steven Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Alvarez more than expected).
Fields of papers citing papers by Steven Alvarez
This network shows the impact of papers produced by Steven 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 Steven Alvarez. The network helps show where Steven Alvarez may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven 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 | 2019 | 255 | |
| 2 | 2013 | 154 | |
| 3 | 2018 | 55 | |
| 4 | 2022 | 50 | |
| 5 | 2016 | 43 | |
| 6 | 2011 | 42 | |
| 7 | 2017 | 41 | |
| 8 | 2021 | 40 | |
| 9 | 2013 | 25 | |
| 10 | 2021 | 16 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2017 | 7 | |
| 14 | 2024 | 4 | |
| 15 | 2013 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2017 | 3 |
About Steven Alvarez
Steven Alvarez is a scholar working on Molecular Biology, Cell Biology, Electrical and Electronic Engineering, Biophysics and Pathology and Forensic Medicine, having authored 17 papers that have together received 766 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Receptor Mechanisms and Signaling (4 papers), Cellular transport and secretion (3 papers), Organic Electronics and Photovoltaics (3 papers), Protein Tyrosine Phosphatases (2 papers), Lipid Membrane Structure and Behavior (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Organic Light-Emitting Diodes Research (2 papers). The work is most often cited by research in Polymers and Plastics (132 citations), Cell Biology (128 citations), Molecular Biology (456 citations), Biophysics (27 citations) and Structural Biology (6 citations). Steven Alvarez has collaborated with scholars based in United States, Singapore and Saudi Arabia. Frequent co-authors include Jay T. Groves, Young Kwang Lee, Jean K. Chung, Yasushi Kondo, John Kuriyan, Hiu Yue Monatrice Lam, William Y. C. Huang, Kabir H. Biswas, Alexander Hexemer and Dalaver H. Anjum. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials, Biophysical Journal, Organic Letters and Science.
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.