Max Vásquez
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Glycosylation and Glycoproteins Research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 7
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- Protein Structure and Dynamics 7
- vaccines and immunoinformatics approaches 1
- Co-authors
- Harold A. Scheraga (6 shared papers)George Némethy (1 shared paper)Jade Tso (3 shared papers)Naoya Tsurushita (3 shared papers)Paul R. Hinton (2 shared papers)Kelly Hanestad (1 shared paper)Meina Tao Tang (1 shared paper)Mary G. Johlfs (1 shared paper)
- Journals
- Biopolymers (4 papers)Molecular Immunology (1 paper)Macromolecules (1 paper)European Journal of Biochemistry (1 paper)Immunotechnology (1 paper)
- Partner nations
- United States
In The Last Decade
Max Vásquez
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 338
- Molecular Biology 598
- Physical and Theoretical Chemistry 60
- Hematology 41
- Transplantation 10
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 | 233 | |
| 2 | 1983 | 205 | |
| 3 | 2009 | 122 | |
| 4 | 1985 | 114 | |
| 5 | 1996 | 79 | |
| 6 | 1989 | 74 | |
| 7 | 1999 | 70 | |
| 8 | 1993 | 60 | |
| 9 | 2001 | 55 | |
| 10 | 2004 | 53 | |
| 11 | 1987 | 50 | |
| 12 | 1988 | 40 | |
| 13 | 2001 | 26 | |
| 14 | 1999 | 15 | |
| 15 | 1991 | 10 | |
| 16 | 1987 | 7 |
About Max Vásquez
Max Vásquez is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Physical and Theoretical Chemistry, Cell Biology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Blood properties and coagulation (1 paper), Plant Molecular Biology Research (1 paper), Advanced Chemical Physics Studies (1 paper), vaccines and immunoinformatics approaches (1 paper), Cellular transport and secretion (1 paper) and Electrostatics and Colloid Interactions (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (338 citations), Molecular Biology (598 citations), Physical and Theoretical Chemistry (60 citations), Hematology (41 citations) and Transplantation (10 citations). Max Vásquez has collaborated with scholars based in United States. Frequent co-authors include Harold A. Scheraga, George Némethy, Jade Tso, Naoya Tsurushita, Paul R. Hinton, Kelly Hanestad, Meina Tao Tang, Mary G. Johlfs, Matthew R. Pincus and Yvonne C. Meinwald. Their work appears in journals such as Biopolymers, Molecular Immunology, Macromolecules, European Journal of Biochemistry and Immunotechnology.
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.