Max Vásquez
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Glycosylation and Glycoproteins Research
- Chemical Synthesis and Analysis
- Protein purification and stability
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 5
- Glycosylation and Glycoproteins Research 2
- Protein purification and stability 2
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Harold A. Scheraga (6 shared papers)George Némethy (1 shared paper)J. Yun Tso (3 shared papers)Naoya Tsurushita (3 shared papers)Kelly Ong (2 shared papers)Paul R. Hinton (2 shared papers)Kelly Hanestad (1 shared paper)Stephen Keller (1 shared paper)
- Journals
- Biopolymers (4 papers)Journal of Computational Chemistry (2 papers)Immunotechnology (1 paper)International Journal of Cancer (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
Max Vásquez
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Radiology, Nuclear Medicine and Imaging 375
- Molecular Biology 725
- Immunology 177
- Biotechnology 50
- Hematology 58
Countries citing papers authored by Max Vásquez
This map shows the geographic impact of Max Vásquez'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 Max Vásquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Vásquez more than expected).
Fields of papers citing papers by Max Vásquez
This network shows the impact of papers produced by Max Vásquez. 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 Max Vásquez. The network helps show where Max Vásquez may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Vásquez, 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 | 2004 | 223 | |
| 2 | 1983 | 206 | |
| 3 | 1985 | 116 | |
| 4 | 1989 | 75 | |
| 5 | 1996 | 72 | |
| 6 | 1999 | 70 | |
| 7 | 1993 | 61 | |
| 8 | 2004 | 54 | |
| 9 | 2001 | 54 | |
| 10 | 1987 | 50 | |
| 11 | 1988 | 41 | |
| 12 | 2001 | 26 | |
| 13 | 1999 | 15 | |
| 14 | 1991 | 11 | |
| 15 | 1987 | 7 | |
| 16 | 1996 | 7 |
About Max Vásquez
Max Vásquez is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Oncology and Immunology and Allergy, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Protein Structure and Dynamics (5 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Protein purification and stability (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Cell Adhesion Molecules Research (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (375 citations), Molecular Biology (725 citations), Immunology (177 citations), Biotechnology (50 citations) and Hematology (58 citations). Max Vásquez has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Harold A. Scheraga, George Némethy, J. Yun Tso, Naoya Tsurushita, Kelly Ong, Paul R. Hinton, Kelly Hanestad, Stephen Keller, Meina Tang and Mary G. Johlfs. Their work appears in journals such as Biopolymers, Journal of Computational Chemistry, Immunotechnology, International Journal of Cancer and European Journal of Biochemistry.
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.